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Ball M, Ourailidis I, Kluck K, Menzel M, Kirchner M, Allgäuer M, Tay TKY, Schnecko F, Volckmar AL, Goldschmid H, Neuman O, Fröhling S, Schirmacher P, Budczies J, Stenzinger A, Kazdal D. Leveraging Off-Target Reads in Panel Sequencing for Homologous Recombination Repair Deficiency Screening in Tumor. J Mol Diagn 2024; 26:479-486. [PMID: 38522840 DOI: 10.1016/j.jmoldx.2024.02.008] [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: 09/22/2023] [Revised: 01/24/2024] [Accepted: 02/14/2024] [Indexed: 03/26/2024] Open
Abstract
Targeted tumor only sequencing has become a standard practice in cancer diagnostics. This study aims to develop an approach for robust copy number variant calling in tumor samples using only off-target region (OTR) reads. We also established a clinical use case for homologous recombination deficiency (HRD) score estimation (HRDest) using the sum of telomeric-allelic imbalance and large-scale state transition scores without the need for loss of heterozygosity information. A strong correlation was found between HRD score and the sum of telomeric-allelic imbalance + large-scale state transition in The Cancer Genome Atlas cohort (ρ = 0.99, P < 2.2 × 10-16) and in a clinical in-house cohort of 34 tumors (ρ = 0.9, P = 5.1 × 10-13) comparing whole-exome sequencing and targeted sequencing data. HRDest scores from 1086 clinical cases were compared with The Cancer Genome Atlas data set. There were no significant differences in HRD score distribution within the analyzed tumor types. As a control, commercially available HRD standards were also sequenced, and the HRDest scores obtained from the OTR reads were well within the HRD reference range provided by the manufacturer. In conclusion, OTR reads of tumor-only panel sequencing can be used to determine genome-wide copy number variant profiles and to approximate HRD scores.
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Affiliation(s)
- Markus Ball
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Klaus Kluck
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Michael Menzel
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Martina Kirchner
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Michael Allgäuer
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Timothy Kwang Yong Tay
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany; Department of Anatomical Pathology, Singapore General Hospital, Singapore; Department of Molecular Pathology, Singapore General Hospital, Singapore
| | - Fabian Schnecko
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Anna-Lena Volckmar
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Hannah Goldschmid
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Olaf Neuman
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Stefan Fröhling
- Department of Translational Medical Oncology, National Center for Tumor Diseases, Heidelberg, Germany; German Cancer Consortium, Heidelberg, Germany
| | - Peter Schirmacher
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany; Center for Personalized Medicine Heidelberg, Heidelberg, Germany
| | - Jan Budczies
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany; German Cancer Consortium, Heidelberg, Germany; Center for Personalized Medicine Heidelberg, Heidelberg, Germany; Translational Lung Research Center Heidelberg, German Center for Lung Research, Heidelberg, Germany
| | - Albrecht Stenzinger
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany; German Cancer Consortium, Heidelberg, Germany; Center for Personalized Medicine Heidelberg, Heidelberg, Germany; Translational Lung Research Center Heidelberg, German Center for Lung Research, Heidelberg, Germany.
| | - Daniel Kazdal
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany; German Cancer Consortium, Heidelberg, Germany; Translational Lung Research Center Heidelberg, German Center for Lung Research, Heidelberg, Germany.
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Yu L, Zhang Y, Wang D, Li L, Zhang R, Li J. Harmonizing tumor mutational burden analysis: Insights from a multicenter study using in silico reference data sets in clinical whole-exome sequencing (WES). Am J Clin Pathol 2024:aqae056. [PMID: 38733635 DOI: 10.1093/ajcp/aqae056] [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: 01/01/2024] [Accepted: 04/13/2024] [Indexed: 05/13/2024] Open
Abstract
OBJECTIVES Tumor mutational burden (TMB) is a significant biomarker for predicting immune checkpoint inhibitor response, but the clinical performance of whole-exome sequencing (WES)-based TMB estimation has received less attention compared to panel-based methods. This study aimed to assess the reliability and comparability of WES-based TMB analysis among laboratories under routine testing conditions. METHODS A multicenter study was conducted involving 24 laboratories in China using in silico reference data sets. The accuracy and comparability of TMB estimation were evaluated using matched tumor-normal data sets. Factors such as accuracy of variant calls, limit of detection (LOD) of WES test, size of regions of interest (ROIs) used for TMB calculation, and TMB cutoff points were analyzed. RESULTS The laboratories consistently underestimated the expected TMB scores in matched tumor-normal samples, with only 50% falling within the ±30% TMB interval. Samples with low TMB score (<2.5) received the consensus interpretation. Accuracy of variant calls, LOD of the WES test, ROI, and TMB cutoff points were important factors causing interlaboratory deviations. CONCLUSIONS This study highlights real-world challenges in WES-based TMB analysis that need to be improved and optimized. This research will aid in the selection of more reasonable analytical procedures to minimize potential methodologic biases in estimating TMB in clinical exome sequencing tests. Harmonizing TMB estimation in clinical testing conditions is crucial for accurately evaluating patients' response to immunotherapy.
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Affiliation(s)
- Lijia Yu
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, China
| | - Yuanfeng Zhang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, China
| | - Duo Wang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, China
| | - Lin Li
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, China
| | - Rui Zhang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, China
| | - Jinming Li
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, China
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3
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Walker M, Mayr EM, Koppermann ML, Terron A, Wagner Y, Kling C, Pfarr N. [Molecular pathological analysis through the ages]. PATHOLOGIE (HEIDELBERG, GERMANY) 2024; 45:173-179. [PMID: 38619582 PMCID: PMC11045621 DOI: 10.1007/s00292-024-01326-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/18/2024] [Indexed: 04/16/2024]
Abstract
BACKGROUND Molecular pathological examinations of tumor samples encompass a wide range of diagnostic analyses. Especially in recent years, numerous new biomarkers have come to the forefront-the analysis of which is crucial for therapy decisions. OBJECTIVES Within the field of molecular pathology, the demands of next generation sequencing (NGS)-based requirements have experienced massive growth in recent years. To meet this demand, methods are constantly being adapted and further developed. The following sections aim to illuminate how this trend arises and which analyses are gaining importance. METHODS The article provides an overview of the essential nucleic acid-based analysis techniques in the field of massive parallel sequencing. Terms such as DNA- and RNA-based techniques, as well as the associated analysis methods, are described, particularly with regard to their use in routine molecular pathological diagnostics. RESULTS The breadth of genomic sequencing has been steadily growing in recent years, particularly due to the increasing relevance of personalized medicine, along with the rising approvals of targeted therapeutics. This necessitates, among other things, the analysis of new biomarkers. The diagnostics as part of interdisciplinary molecular tumor boards (MTB) are now based on large gene panels (> 1 megabase). Furthermore, through the "Modellvorhaben Genomsequenzierung" § 64e, whole exome or whole genome sequencing has been made available for oncological patients. Given these developments, it is evident that future analyses will require the integration of additional omics fields, such as whole transcriptome analysis, epigenomics, and proteomics. CONCLUSION The challenges of personalized medicine along with the necessity of simultaneously assessing numerous new biomarkers require the implementation and execution of new techniques in molecular pathology whose complexity is steadily increasing.
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Affiliation(s)
- Maria Walker
- Institut für Pathologie, Technische Universität München, Trogerstr. 18, 81675, München, Deutschland
| | - Eva-Maria Mayr
- Institut für Pathologie, Technische Universität München, Trogerstr. 18, 81675, München, Deutschland
| | - Mai-Lan Koppermann
- Institut für Pathologie, Technische Universität München, Trogerstr. 18, 81675, München, Deutschland
| | - Ana Terron
- Institut für Pathologie, Technische Universität München, Trogerstr. 18, 81675, München, Deutschland
| | - Yoko Wagner
- Institut für Pathologie, Technische Universität München, Trogerstr. 18, 81675, München, Deutschland
| | - Charlotte Kling
- Institut für Pathologie, Technische Universität München, Trogerstr. 18, 81675, München, Deutschland
- Deutsches Konsortium für Translationale Krebsforschung (DKTK), Heidelberg, Deutschland
| | - Nicole Pfarr
- Institut für Pathologie, Technische Universität München, Trogerstr. 18, 81675, München, Deutschland.
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Tao ZY, Yang WF, Zhu WY, Wang LL, Li KY, Guan XY, Su YX. A neural-related gene risk score for head and neck squamous cell carcinoma. Oral Dis 2024; 30:477-491. [PMID: 36346196 DOI: 10.1111/odi.14434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 10/27/2022] [Accepted: 11/05/2022] [Indexed: 11/10/2022]
Abstract
OBJECTIVES This study aimed to establish a neural-related gene risk score (NRGRS) for the prediction of head and neck squamous cell carcinoma prognosis and explore its predictive value on the benefit of immune checkpoint inhibitor therapy. METHODS Based on the transcriptome data of HNSCC patients (n = 546) from The Cancer Genome Atlas database, 37 neural-related hub genes were identified by weighted gene co-expression network analysis. Four genes (ITGA5, PYGM, GNG7 and ATP2A3) were identified to construct NRGRS using Lasso-Cox regression method based on the derivation cohort and validated in the Gene Expression Omnibus cohort (n = 109). The survival analysis was performed to validate the prognostic value of NRGRS and immune characteristics in NRGRS-defined subgroups were analyzed. RESULTS NRGRS-high patients had a worse overall survival than NRGRS-low patients. Tumors with high NRGRS were more likely to have high infiltration of naive CD4+ T cells, M0, M2 macrophages and resting mast cells, which illustrated suppressive immunity and less benefit from immunotherapy therapy. CONCLUSION NRGRS strongly correlates with survival and is a promising biomarker to predict immunotherapy benefits for head and neck cancer patients. This study provides evidence for the potential correlation between neural-related transcriptome alteration and immune activity.
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Affiliation(s)
- Zhuo-Ying Tao
- Division of Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong, Hong Kong
| | - Wei-Fa Yang
- Division of Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong, Hong Kong
| | - Wang-Yong Zhu
- Division of Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong, Hong Kong
| | - Lei-Lei Wang
- Division of Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong, Hong Kong
| | - Kar Yan Li
- Clinical Research Centre, Faculty of Dentistry, The University of Hong Kong, Hong Kong, Hong Kong
| | - Xin-Yuan Guan
- Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Yu-Xiong Su
- Division of Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong, Hong Kong
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5
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Pfarr N, von Schwarzenberg K, Zocholl D, Merkelbach-Bruse S, Siemanowski J, Mayr EM, Herold S, Kleo K, Heukamp LC, Willing EM, Menzel M, Lehmann U, Bartels S, Chakraborty S, Baretton G, Demes MC, Döring C, Kazdal D, Budczies J, Rad R, Wild P, Christinat Y, McKee T, Schirmacher P, Horst D, Büttner R, Stenzinger A, Sehouli J, Vollbrecht C, Hummel M, Braicu EI, Weichert W. High Concordance of Different Assays in the Determination of Homologous Recombination Deficiency-Associated Genomic Instability in Ovarian Cancer. JCO Precis Oncol 2024; 8:e2300348. [PMID: 38513168 DOI: 10.1200/po.23.00348] [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: 07/05/2023] [Revised: 11/10/2023] [Accepted: 01/03/2024] [Indexed: 03/23/2024] Open
Abstract
PURPOSE Poly(ADP-ribose) polymerase inhibitors (PARPi) have shown promising clinical results in the treatment of ovarian cancer. Analysis of biomarker subgroups consistently revealed higher benefits for patients with homologous recombination deficiency (HRD). The test that is most often used for the detection of HRD in clinical studies is the Myriad myChoice assay. However, other assays can also be used to assess biomarkers, which are indicative of HRD, genomic instability (GI), and BRCA1/2 mutation status. Many of these assays have high potential to be broadly applied in clinical routine diagnostics in a time-effective decentralized manner. Here, we compare the performance of a multitude of alternative assays in comparison with Myriad myChoice in high-grade serous ovarian cancer (HGSOC). METHODS DNA from HGSOC samples was extracted from formalin-fixed paraffin-embedded tissue blocks of cases previously run with the Myriad myChoice assay, and GI was measured by multiple molecular assays (CytoSNP, AmoyDx, Illumina TSO500 HRD, OncoScan, NOGGO GISv1, QIAseq HRD Panel and whole genome sequencing), applying different bioinformatics algorithms. RESULTS Application of different assays to assess GI, including Myriad myChoice, revealed high concordance of the generated scores ranging from very substantial to nearly perfect fit, depending on the assay and bioinformatics pipelines applied. Interlaboratory comparison of assays also showed high concordance of GI scores. CONCLUSION Assays for GI assessment not only show a high concordance with each other but also in correlation with Myriad myChoice. Thus, almost all of the assays included here can be used effectively to assess HRD-associated GI in the clinical setting. This is important as PARPi treatment on the basis of these tests is compliant with European Medicines Agency approvals, which are methodologically not test-bound.
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Affiliation(s)
- Nicole Pfarr
- Institute of Pathology, School of Medicine and Health, Technical University Munich, Munich, Germany
| | - Karin von Schwarzenberg
- Institute of Pathology, School of Medicine and Health, Technical University Munich, Munich, Germany
| | - Dario Zocholl
- Institute of Biometry and Clinical Epidemiology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | | | - Janna Siemanowski
- Institute of Pathology, University Hospital Cologne, Cologne, Germany
| | - Eva-Maria Mayr
- Institute of Pathology, School of Medicine and Health, Technical University Munich, Munich, Germany
| | - Sylvia Herold
- Institute of Pathology, University Hospital Dresden, Dresden, Germany
| | - Karsten Kleo
- Institute of Pathology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin & Berlin Institute of Health, Berlin, Germany
| | - Lukas C Heukamp
- Institute of Pathology and Hematopathology, Hamburg, Germany
- North-Eastern German Society of Gynecological Oncology (NOGGO), Berlin, Germany
| | - Eva-Maria Willing
- Institute of Pathology and Hematopathology, Hamburg, Germany
- North-Eastern German Society of Gynecological Oncology (NOGGO), Berlin, Germany
| | - Michael Menzel
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Ulrich Lehmann
- Institute of Pathology, Medizinische Hochschule Hannover, Hannover, Germany
| | - Stephan Bartels
- Institute of Pathology, Medizinische Hochschule Hannover, Hannover, Germany
| | - Shounak Chakraborty
- Institute of Pathology, School of Medicine and Health, Technical University Munich, Munich, Germany
| | - Gustavo Baretton
- Institute of Pathology, University Hospital Dresden, Dresden, Germany
| | - Melanie C Demes
- Dr Senckenberg Institute of Pathology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Claudia Döring
- Dr Senckenberg Institute of Pathology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Daniel Kazdal
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Jan Budczies
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Roland Rad
- Institute of Functional Genomics, Klinikum Rechts der Isar, Technical University Munich, Munich, Germany
| | - Peter Wild
- Dr Senckenberg Institute of Pathology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Yann Christinat
- Department of Pathology, University Hospital of Geneva, Geneva, Switzerland
| | - Thomas McKee
- Department of Pathology, University Hospital of Geneva, Geneva, Switzerland
| | - Peter Schirmacher
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - David Horst
- Institute of Pathology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin & Berlin Institute of Health, Berlin, Germany
| | - Reinhard Büttner
- Institute of Pathology, University Hospital Cologne, Cologne, Germany
| | | | - Jalid Sehouli
- North-Eastern German Society of Gynecological Oncology (NOGGO), Berlin, Germany
- Department of Gynecology, Campus Virchow Klinikum, Charité University Medicine, Berlin, Germany
| | - Claudia Vollbrecht
- Institute of Pathology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin & Berlin Institute of Health, Berlin, Germany
| | - Michael Hummel
- Institute of Pathology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin & Berlin Institute of Health, Berlin, Germany
| | - Elena I Braicu
- North-Eastern German Society of Gynecological Oncology (NOGGO), Berlin, Germany
- Department of Gynecology, Campus Virchow Klinikum, Charité University Medicine, Berlin, Germany
- Tumor Bank Ovarian Cancer Network (TOC) and Biostatistics, Charité Berlin, Berlin, Germany
| | - Wilko Weichert
- Institute of Pathology, School of Medicine and Health, Technical University Munich, Munich, Germany
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6
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Dupain C, Gutman T, Girard E, Kamoun C, Marret G, Castel-Ajgal Z, Sablin MP, Neuzillet C, Borcoman E, Hescot S, Callens C, Trabelsi-Grati O, Melaabi S, Vibert R, Antonio S, Franck C, Galut M, Guillou I, Halladjian M, Allory Y, Cyrta J, Romejon J, Frouin E, Stoppa-Lyonnet D, Wong J, Le Tourneau C, Bièche I, Servant N, Kamal M, Masliah-Planchon J. Tumor mutational burden assessment and standardized bioinformatics approach using custom NGS panels in clinical routine. BMC Biol 2024; 22:43. [PMID: 38378561 PMCID: PMC10880437 DOI: 10.1186/s12915-024-01839-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 02/02/2024] [Indexed: 02/22/2024] Open
Abstract
BACKGROUND High tumor mutational burden (TMB) was reported to predict the efficacy of immune checkpoint inhibitors (ICIs). Pembrolizumab, an anti-PD-1, received FDA-approval for the treatment of unresectable/metastatic tumors with high TMB as determined by the FoundationOne®CDx test. It remains to be determined how TMB can also be calculated using other tests. RESULTS FFPE/frozen tumor samples from various origins were sequenced in the frame of the Institut Curie (IC) Molecular Tumor Board using an in-house next-generation sequencing (NGS) panel. A TMB calculation method was developed at IC (IC algorithm) and compared to the FoundationOne® (FO) algorithm. Using IC algorithm, an optimal 10% variant allele frequency (VAF) cut-off was established for TMB evaluation on FFPE samples, compared to 5% on frozen samples. The median TMB score for MSS/POLE WT tumors was 8.8 mut/Mb versus 45 mut/Mb for MSI/POLE-mutated tumors. When focusing on MSS/POLE WT tumor samples, the highest median TMB scores were observed in lymphoma, lung, endometrial, and cervical cancers. After biological manual curation of these cases, 21% of them could be reclassified as MSI/POLE tumors and considered as "true TMB high." Higher TMB values were obtained using FO algorithm on FFPE samples compared to IC algorithm (40 mut/Mb [10-3927] versus 8.2 mut/Mb [2.5-897], p < 0.001). CONCLUSIONS We herein propose a TMB calculation method and a bioinformatics tool that is customizable to different NGS panels and sample types. We were not able to retrieve TMB values from FO algorithm using our own algorithm and NGS panel.
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Affiliation(s)
- Célia Dupain
- Department of Drug Development and Innovation (D3i), Institut Curie, Paris, France
| | - Tom Gutman
- Bioinformatics Core Facility, INSERM U900, Mines Paris Tech, Institut Curie, Paris, France
| | - Elodie Girard
- Bioinformatics Core Facility, INSERM U900, Mines Paris Tech, Institut Curie, Paris, France
| | - Choumouss Kamoun
- Bioinformatics Core Facility, INSERM U900, Mines Paris Tech, Institut Curie, Paris, France
| | - Grégoire Marret
- Department of Drug Development and Innovation (D3i), Institut Curie, Paris, France
| | - Zahra Castel-Ajgal
- Department of Drug Development and Innovation (D3i), Institut Curie, Paris, France
| | - Marie-Paule Sablin
- Department of Drug Development and Innovation (D3i), Institut Curie, Paris, France
| | - Cindy Neuzillet
- Department of Medical Oncology, Institut Curie, Paris & Saint Cloud, France
| | - Edith Borcoman
- Department of Drug Development and Innovation (D3i), Institut Curie, Paris, France
| | - Ségolène Hescot
- Department of Drug Development and Innovation (D3i), Institut Curie, Paris, France
| | | | | | - Samia Melaabi
- Department of Genetics, Institut Curie, Paris, France
| | | | | | | | - Michèle Galut
- Department of Pathology, Institut Curie, PSL Research University, Paris, France
| | - Isabelle Guillou
- Department of Drug Development and Innovation (D3i), Institut Curie, Paris, France
| | - Maral Halladjian
- Department of Drug Development and Innovation (D3i), Institut Curie, Paris, France
| | - Yves Allory
- Department of Pathology, Université Paris-Saclay, UVSQ, Institut Curie, Saint-Cloud, France
| | - Joanna Cyrta
- Department of Pathology, Institut Curie, PSL Research University, Paris, France
| | - Julien Romejon
- Bioinformatics Core Facility, INSERM U900, Mines Paris Tech, Institut Curie, Paris, France
| | | | - Dominique Stoppa-Lyonnet
- Department of Genetics, Institut Curie, Paris, France
- Paris-Cité University, Paris, France
- INSERM U830, Paris, France
| | - Jennifer Wong
- Department of Genetics, Institut Curie, Paris, France
| | - Christophe Le Tourneau
- Department of Drug Development and Innovation (D3i), Institut Curie, Paris, France
- Inserm U900 Research Unit, Saint Cloud, France
- Paris-Saclay University, Paris, France
| | - Ivan Bièche
- Department of Genetics, Institut Curie, Paris, France
- Paris-Cité University, Paris, France
- Faculty of Pharmaceutical and Biological Sciences, INSERM U1016, Paris Descartes University, Paris, France
| | - Nicolas Servant
- Bioinformatics Core Facility, INSERM U900, Mines Paris Tech, Institut Curie, Paris, France
| | - Maud Kamal
- Department of Drug Development and Innovation (D3i), Institut Curie, Paris, France
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7
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Esposito Abate R, Pasquale R, Sacco A, Simeon V, Maiello MR, Frezzetti D, Chiodini P, Normanno N. Harmonization of tumor mutation burden testing with comprehensive genomic profiling assays: an IQN Path initiative. J Immunother Cancer 2024; 12:e007800. [PMID: 38309725 PMCID: PMC10840060 DOI: 10.1136/jitc-2023-007800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/29/2023] [Indexed: 02/05/2024] Open
Abstract
BACKGROUND Although conflicting results emerged from different studies, the tumor mutational burden (TMB) appears as one of most reliable biomarkers of sensitivity to immune checkpoint inhibitors. Several laboratories are reporting TMB values when performing comprehensive genomic profiling (CGP) without providing a clinical interpretation, due to the lack of validated cut-off values. The International Quality Network for Pathology launched an initiative to harmonize TMB testing with CGP assay and favor the clinical implementation of this biomarker. METHODS TMB evaluation was performed with three commercially available CGP panels, TruSight Oncology 500 (TSO500), Oncomine Comprehensive Plus Assay (OCA) and QIAseq Multimodal Panel (QIA), versus the reference assay FoundationOne CDx (F1CDx). Archived clinical samples derived from 60 patients with non-small cell lung cancer were used for TMB assessment. Adjusted cut-off values for each panel were calculated. RESULTS Testing was successful for 91.7%, 100%, 96.7% and 100% of cases using F1CDx, TSO500, OCA and QIA, respectively. The matrix comparison analysis, between the F1CDx and CGP assays, showed a linear correlation for all three panels, with a higher correlation between F1CDx and TSO500 (rho=0.88) than in the other two comparisons (rho=0.77 for QIA; 0.72 for OCA). The TSO500 showed the best area under the curve (AUC, value 0.96), with a statistically significant difference when compared with the AUC of OCA (0.83, p value=0.01) and QIA (0.88, p value=0.028). The Youden Index calculation allowed us to extrapolate TMB cut-offs of the different panels corresponding to the 10 mutations/megabase (muts/Mb) cut-off of F1CDx: 10.19, 10.4 and 12.37 muts/Mb for TSO500, OCA and QIA, respectively. Using these values, we calculated the relative accuracy measures for the three panels. TSO500 showed 86% specificity and 96% sensitivity, while OCA and QIA had lower yet similar values of specificity and sensitivity (73% and 88%, respectively). CONCLUSION This study estimated TMB cut-off values for commercially available CGP panels. The results showed a good performance of all panels on clinical samples and the calculated cut-offs support better accuracy measures for TSO500. The validated cut-off values can drive clinical interpretation of TMB testing in clinical research and clinical practice.
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Affiliation(s)
- Riziero Esposito Abate
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori IRCCS Fondazione G.Pascale, Napoli, Italy
| | | | - Alessandra Sacco
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori IRCCS Fondazione G.Pascale, Napoli, Italy
| | - Vittorio Simeon
- Medical Statistics Unit, Department of Mental Health and Public Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Italy
| | - Monica Rosaria Maiello
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori IRCCS Fondazione G.Pascale, Napoli, Italy
| | - Daniela Frezzetti
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori IRCCS Fondazione G.Pascale, Napoli, Italy
| | - Paolo Chiodini
- Medical Statistics Unit, Department of Mental Health and Public Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Italy
| | - Nicola Normanno
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori IRCCS Fondazione G.Pascale, Napoli, Italy
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8
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Zhang Y, Wang D, Zhao Z, Peng R, Han Y, Li J, Zhang R. Enhancing the quality of panel-based tumor mutation burden assessment: a comprehensive study of real-world and in-silico outcomes. NPJ Precis Oncol 2024; 8:18. [PMID: 38263314 PMCID: PMC10805867 DOI: 10.1038/s41698-024-00504-1] [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: 08/30/2023] [Accepted: 01/04/2024] [Indexed: 01/25/2024] Open
Abstract
Targeted panel-based tumor mutation burden (TMB) assays are widely employed to guide immunotherapy for patients with solid tumors. However, the accuracy and consistency of this method can be compromised due to the variability in technical details across different laboratories, particularly in terms of panel size, somatic mutation detection and TMB calculation rules. Currently, systematic evaluations of the impact of these technical factors on existing assays and best practice recommendations remain lacking. We assessed the performance of 50 participating panel-based TMB assays involving 38 unique methods using cell line samples. In silico experiments utilizing TCGA MC3 datasets were performed to further dissect the impact of technical factors. Here we show that the panel sizes beyond 1.04 Mb and 389 genes are necessary for the basic discrete accuracy, as determined by over 40,000 synthetic panels. The somatic mutation detection should maintain a reciprocal gap of recall and precision less than 0.179 for reliable psTMB calculation results. The inclusion of synonymous, nonsense and hotspot mutations could enhance the accuracy of panel-based TMB assay. A 5% variant allele frequency cut-off is suitable for TMB assays using tumor samples with at least 20% tumor purity. In conclusion, this multicenter study elucidates the major technical factors as sources of variability in panel-based TMB assays and proposed comprehensive recommendations for the enhancement of accuracy and consistency. These findings will assist clinical laboratories in optimizing the methodological details through bioinformatic experiments to enhance the reliability of panel-based methods.
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Affiliation(s)
- Yuanfeng Zhang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, PR China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, PR China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, PR China
| | - Duo Wang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, PR China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, PR China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, PR China
| | - Zihong Zhao
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, PR China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, PR China
- Peking University Fifth School of Clinical Medicine, Beijing, PR China
| | - Rongxue Peng
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, PR China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, PR China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, PR China
| | - Yanxi Han
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, PR China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, PR China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, PR China
| | - Jinming Li
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, PR China.
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, PR China.
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, PR China.
| | - Rui Zhang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, PR China.
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, PR China.
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, PR China.
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9
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Chen B, Hong Y, Zhai X, Deng Y, Hu H, Tian S, Zhang Y, Ren X, Zhao J, Jiang C. m6A and m5C modification of GPX4 facilitates anticancer immunity via STING activation. Cell Death Dis 2023; 14:809. [PMID: 38065948 PMCID: PMC10709592 DOI: 10.1038/s41419-023-06241-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 10/16/2023] [Accepted: 10/20/2023] [Indexed: 12/18/2023]
Abstract
Cancer immunotherapy is arguably the most rapidly advancing realm of cancer treatment. Glutathione peroxidase 4 (GPX4) has emerged as the vital enzyme to prevent lipid peroxidation and maintain cellular redox homeostasis. However, the mechanism of GPX4 in the regulation of cancer immunotherapy of colon adenocarcinoma (COAD) are incompletely understood. In pan-cancer analysis, we found that GPX4 showed remarkably upregulated expression and exhibited significant association with overall survival in multiple cancer types, especially COAD. Furthermore, upregulated GPX4 expression was positively correlated with increased immune cells infiltration and enhanced expression of immunomodulators. Mechanistically, RBM15B- and IGFBP2-mediated N6-methyladenosine (m6A) modification and NSUN5-mediated 5-methylcytosine (m5C) modification of GPX4 facilitated anticancer immunity via activation of cyclic GMP-AMP synthase (cGAS)-stimulator of interferon (STING) signaling by maintaining redox homeostasis in COAD. The risk model and nomogram model constructed based on the GPX4-derived genes further confirmed the prognostic and treatment-guiding value of GPX4. In all, our study demonstrated that m6A and m5C modification of GPX4 may be a promising target for cancer immunotherapy via activating the cGAS-STING signaling pathway in COAD.
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Affiliation(s)
- Baoxiang Chen
- Department of Colorectal and Anal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Hubei Key Laboratory of Intestinal and Colorectal Diseases, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Clinical Center of Intestinal and Colorectal Diseases of Hubei Province, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, QC, H3G 0B1, Canada
| | - Yuntian Hong
- Department of Colorectal and Anal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Hubei Key Laboratory of Intestinal and Colorectal Diseases, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Clinical Center of Intestinal and Colorectal Diseases of Hubei Province, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Xiang Zhai
- Department of Colorectal and Anal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Hubei Key Laboratory of Intestinal and Colorectal Diseases, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Clinical Center of Intestinal and Colorectal Diseases of Hubei Province, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Yanrong Deng
- Department of Colorectal and Anal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Hubei Key Laboratory of Intestinal and Colorectal Diseases, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Clinical Center of Intestinal and Colorectal Diseases of Hubei Province, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Heng Hu
- Department of Colorectal and Anal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Hubei Key Laboratory of Intestinal and Colorectal Diseases, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Clinical Center of Intestinal and Colorectal Diseases of Hubei Province, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Shunhua Tian
- Department of Colorectal and Anal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Hubei Key Laboratory of Intestinal and Colorectal Diseases, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Clinical Center of Intestinal and Colorectal Diseases of Hubei Province, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Yukang Zhang
- Department of Colorectal and Anal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Hubei Key Laboratory of Intestinal and Colorectal Diseases, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Clinical Center of Intestinal and Colorectal Diseases of Hubei Province, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Xianghai Ren
- Department of Colorectal and Anal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
- Hubei Key Laboratory of Intestinal and Colorectal Diseases, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
- Clinical Center of Intestinal and Colorectal Diseases of Hubei Province, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
| | - Jianhong Zhao
- Department of Colorectal and Anal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
- Hubei Key Laboratory of Intestinal and Colorectal Diseases, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
- Clinical Center of Intestinal and Colorectal Diseases of Hubei Province, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
| | - Congqing Jiang
- Department of Colorectal and Anal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
- Hubei Key Laboratory of Intestinal and Colorectal Diseases, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
- Clinical Center of Intestinal and Colorectal Diseases of Hubei Province, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
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10
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Xu H, Jia Z, Liu F, Li J, Huang Y, Jiang Y, Pu P, Shang T, Tang P, Zhou Y, Yang Y, Su J, Liu J. Biomarkers and experimental models for cancer immunology investigation. MedComm (Beijing) 2023; 4:e437. [PMID: 38045830 PMCID: PMC10693314 DOI: 10.1002/mco2.437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 11/01/2023] [Accepted: 11/10/2023] [Indexed: 12/05/2023] Open
Abstract
The rapid advancement of tumor immunotherapies poses challenges for the tools used in cancer immunology research, highlighting the need for highly effective biomarkers and reproducible experimental models. Current immunotherapy biomarkers encompass surface protein markers such as PD-L1, genetic features such as microsatellite instability, tumor-infiltrating lymphocytes, and biomarkers in liquid biopsy such as circulating tumor DNAs. Experimental models, ranging from 3D in vitro cultures (spheroids, submerged models, air-liquid interface models, organ-on-a-chips) to advanced 3D bioprinting techniques, have emerged as valuable platforms for cancer immunology investigations and immunotherapy biomarker research. By preserving native immune components or coculturing with exogenous immune cells, these models replicate the tumor microenvironment in vitro. Animal models like syngeneic models, genetically engineered models, and patient-derived xenografts provide opportunities to study in vivo tumor-immune interactions. Humanized animal models further enable the simulation of the human-specific tumor microenvironment. Here, we provide a comprehensive overview of the advantages, limitations, and prospects of different biomarkers and experimental models, specifically focusing on the role of biomarkers in predicting immunotherapy outcomes and the ability of experimental models to replicate the tumor microenvironment. By integrating cutting-edge biomarkers and experimental models, this review serves as a valuable resource for accessing the forefront of cancer immunology investigation.
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Affiliation(s)
- Hengyi Xu
- State Key Laboratory of Molecular OncologyNational Cancer Center /National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Ziqi Jia
- Department of Breast Surgical OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Fengshuo Liu
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Jiayi Li
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Department of Breast Surgical OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yansong Huang
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Department of Breast Surgical OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yiwen Jiang
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Pengming Pu
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Tongxuan Shang
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Pengrui Tang
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yongxin Zhou
- Eight‐year MD ProgramSchool of Clinical Medicine, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yufan Yang
- School of MedicineTsinghua UniversityBeijingChina
| | - Jianzhong Su
- Oujiang LaboratoryZhejiang Lab for Regenerative Medicine, Vision, and Brain HealthWenzhouZhejiangChina
| | - Jiaqi Liu
- State Key Laboratory of Molecular OncologyNational Cancer Center /National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Department of Breast Surgical OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
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11
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Pouyiourou M, Kraft BN, Wohlfromm T, Stahl M, Kubuschok B, Löffler H, Hacker UT, Hübner G, Weiss L, Bitzer M, Ernst T, Schütt P, Hielscher T, Delorme S, Kirchner M, Kazdal D, Ball M, Kluck K, Stenzinger A, Bochtler T, Krämer A. Nivolumab and ipilimumab in recurrent or refractory cancer of unknown primary: a phase II trial. Nat Commun 2023; 14:6761. [PMID: 37875494 PMCID: PMC10598029 DOI: 10.1038/s41467-023-42400-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 10/10/2023] [Indexed: 10/26/2023] Open
Abstract
Cancer of unknown primary has a dismal prognosis, especially following failure of platinum-based chemotherapy. 10-20% of patients have a high tumor mutational burden (TMB), which predicts response to immunotherapy in many cancer types. In this prospective, non-randomized, open-label, multicenter Phase II trial (EudraCT 2018-004562-33; NCT04131621), patients relapsed or refractory after platinum-based chemotherapy received nivolumab and ipilimumab following TMBhigh vs. TMBlow stratification. Progression-free survival (PFS) represented the primary endpoint; overall survival (OS), response rates, duration of clinical benefit and safety were the secondary endpoints. The trial was prematurely terminated in March 2021 before reaching the preplanned sample size (n = 194). Among 31 evaluable patients, 16% had a high TMB ( > 12 mutations/Mb). Overall response rate was 16% (95% CI 6-34%), with 7.7% (95% CI 1-25%) vs. 60% (95% CI 15-95%) in TMBlow and TMBhigh, respectively. Although the primary endpoint was not met, high TMB was associated with better median PFS (18.3 vs. 2.4 months) and OS (18.3 vs. 3.6 months). Severe immune-related adverse events were reported in 29% of cases. Assessing on-treatment dynamics of circulating tumor DNA using combined targeted hotspot mutation and shallow whole genome sequencing as part of a predefined exploratory analysis identified patients benefiting from immunotherapy irrespective of initial radiologic response.
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Affiliation(s)
- Maria Pouyiourou
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center (DKFZ) and Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
- Department of Medical Oncology, National Center for Tumor Diseases (NCT), University of Heidelberg, Heidelberg, Germany
| | - Bianca N Kraft
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center (DKFZ) and Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
| | - Timothy Wohlfromm
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center (DKFZ) and Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
| | - Michael Stahl
- Department of Medical Oncology, Evangelische Kliniken Essen-Mitte, Essen, Germany
| | - Boris Kubuschok
- Department of Internal Medicine II, Augsburg University Medical Center and Bavarian Cancer Research Center (BZKF), Partner Cite Augsburg, Augsburg, Germany
| | - Harald Löffler
- Department of Internal Medicine III, Marienhospital Stuttgart, Stuttgart, Germany
| | - Ulrich T Hacker
- Department of Medicine II, University Cancer Center Leipzig (UCCL), Leipzig University Medical Center, Leipzig, Germany
| | - Gerdt Hübner
- Department of Internal Medicine III, Ameos Krankenhausgesellschaft Ostholstein, Eutin, Germany
| | - Lena Weiss
- Department of Internal Medicine, Comprehensive Cancer Center, University of Munich, Munich, Germany
| | - Michael Bitzer
- Department of Gastroenterology, Hepatology and Infectiology, University Hospital Tübingen, Tübingen, Germany
| | - Thomas Ernst
- Department of Internal Medicine II, Jena University Hospital, Jena, Germany
| | | | - Thomas Hielscher
- Division of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Stefan Delorme
- Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Martina Kirchner
- Institute of Pathology, University of Heidelberg, Heidelberg, Germany
- Center for Personalized Medicine (ZPM), University of Heidelberg, Heidelberg, Germany
| | - Daniel Kazdal
- Institute of Pathology, University of Heidelberg, Heidelberg, Germany
- Center for Personalized Medicine (ZPM), University of Heidelberg, Heidelberg, Germany
| | - Markus Ball
- Institute of Pathology, University of Heidelberg, Heidelberg, Germany
- Center for Personalized Medicine (ZPM), University of Heidelberg, Heidelberg, Germany
| | - Klaus Kluck
- Institute of Pathology, University of Heidelberg, Heidelberg, Germany
- Center for Personalized Medicine (ZPM), University of Heidelberg, Heidelberg, Germany
| | - Albrecht Stenzinger
- Institute of Pathology, University of Heidelberg, Heidelberg, Germany
- Center for Personalized Medicine (ZPM), University of Heidelberg, Heidelberg, Germany
| | - Tilmann Bochtler
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center (DKFZ) and Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
- Department of Medical Oncology, National Center for Tumor Diseases (NCT), University of Heidelberg, Heidelberg, Germany
| | - Alwin Krämer
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center (DKFZ) and Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany.
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany.
- Department of Medical Oncology, National Center for Tumor Diseases (NCT), University of Heidelberg, Heidelberg, Germany.
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12
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Menzel M, Ossowski S, Kral S, Metzger P, Horak P, Marienfeld R, Boerries M, Wolter S, Ball M, Neumann O, Armeanu-Ebinger S, Schroeder C, Matysiak U, Goldschmid H, Schipperges V, Fürstberger A, Allgäuer M, Eberhardt T, Niewöhner J, Blaumeiser A, Ploeger C, Haack TB, Tay TKY, Kelemen O, Pauli T, Kirchner M, Kluck K, Ott A, Renner M, Admard J, Gschwind A, Lassmann S, Kestler H, Fend F, Illert AL, Werner M, Möller P, Seufferlein TTW, Malek N, Schirmacher P, Fröhling S, Kazdal D, Budczies J, Stenzinger A. Multicentric pilot study to standardize clinical whole exome sequencing (WES) for cancer patients. NPJ Precis Oncol 2023; 7:106. [PMID: 37864096 PMCID: PMC10589320 DOI: 10.1038/s41698-023-00457-x] [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: 04/03/2023] [Accepted: 09/26/2023] [Indexed: 10/22/2023] Open
Abstract
A growing number of druggable targets and national initiatives for precision oncology necessitate broad genomic profiling for many cancer patients. Whole exome sequencing (WES) offers unbiased analysis of the entire coding sequence, segmentation-based detection of copy number alterations (CNAs), and accurate determination of complex biomarkers including tumor mutational burden (TMB), homologous recombination repair deficiency (HRD), and microsatellite instability (MSI). To assess the inter-institution variability of clinical WES, we performed a comparative pilot study between German Centers of Personalized Medicine (ZPMs) from five participating institutions. Tumor and matched normal DNA from 30 patients were analyzed using custom sequencing protocols and bioinformatic pipelines. Calling of somatic variants was highly concordant with a positive percentage agreement (PPA) between 91 and 95% and a positive predictive value (PPV) between 82 and 95% compared with a three-institution consensus and full agreement for 16 of 17 druggable targets. Explanations for deviations included low VAF or coverage, differing annotations, and different filter protocols. CNAs showed overall agreement in 76% for the genomic sequence with high wet-lab variability. Complex biomarkers correlated strongly between institutions (HRD: 0.79-1, TMB: 0.97-0.99) and all institutions agreed on microsatellite instability. This study will contribute to the development of quality control frameworks for comprehensive genomic profiling and sheds light onto parameters that require stringent standardization.
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Affiliation(s)
- Michael Menzel
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Center for Personalized Medicine (ZPM), Heidelberg, Germany
| | - Stephan Ossowski
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
- Center for Personalized Medicine (ZPM), Tübingen, Germany
- Institute for Bioinformatics and Medical Informatics (IBMI), University of Tübingen, Tübingen, Germany
| | - Sebastian Kral
- Institute for Surgical Pathology, Medical Center, University of Freiburg, Freiburg, Germany
- Center for Personalized Medicine (ZPM), Freiburg, Germany
| | - Patrick Metzger
- Center for Personalized Medicine (ZPM), Freiburg, Germany
- Institute of Medical Bioinformatics and Systems Medicine (IBSM), Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Peter Horak
- Center for Personalized Medicine (ZPM), Heidelberg, Germany
- Division of Translational Medical Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Ralf Marienfeld
- Institute of Pathology, University Hospital Ulm, Ulm, Germany
- Center for Personalized Medicine (ZPM), Ulm, Germany
| | - Melanie Boerries
- Center for Personalized Medicine (ZPM), Freiburg, Germany
- Institute of Medical Bioinformatics and Systems Medicine (IBSM), Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Comprehensive Cancer Center Freiburg (CCCF), Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Cancer Consortium (DKTK) Partner Site Freiburg, and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Steffen Wolter
- Institute for Surgical Pathology, Medical Center, University of Freiburg, Freiburg, Germany
- Center for Personalized Medicine (ZPM), Freiburg, Germany
| | - Markus Ball
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Center for Personalized Medicine (ZPM), Heidelberg, Germany
| | - Olaf Neumann
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Center for Personalized Medicine (ZPM), Heidelberg, Germany
| | - Sorin Armeanu-Ebinger
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
- Center for Personalized Medicine (ZPM), Tübingen, Germany
| | - Christopher Schroeder
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
- Center for Personalized Medicine (ZPM), Tübingen, Germany
| | - Uta Matysiak
- Institute for Surgical Pathology, Medical Center, University of Freiburg, Freiburg, Germany
- Center for Personalized Medicine (ZPM), Freiburg, Germany
| | - Hannah Goldschmid
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Center for Personalized Medicine (ZPM), Heidelberg, Germany
| | - Vincent Schipperges
- Center for Personalized Medicine (ZPM), Freiburg, Germany
- Institute of Medical Bioinformatics and Systems Medicine (IBSM), Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Axel Fürstberger
- Institute of Pathology, University Hospital Ulm, Ulm, Germany
- Center for Personalized Medicine (ZPM), Ulm, Germany
- Institute of Medical Systems Biology, Ulm University, Ulm, Germany
| | - Michael Allgäuer
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Center for Personalized Medicine (ZPM), Heidelberg, Germany
| | - Timo Eberhardt
- Institute of Pathology, University Hospital Ulm, Ulm, Germany
- Center for Personalized Medicine (ZPM), Ulm, Germany
| | - Jakob Niewöhner
- Institute of Pathology, University Hospital Ulm, Ulm, Germany
| | - Andreas Blaumeiser
- Center for Personalized Medicine (ZPM), Freiburg, Germany
- Institute of Medical Bioinformatics and Systems Medicine (IBSM), Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Cancer Consortium (DKTK) Partner Site Freiburg, and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Carolin Ploeger
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Center for Personalized Medicine (ZPM), Heidelberg, Germany
| | - Tobias Bernd Haack
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
- Center for Personalized Medicine (ZPM), Tübingen, Germany
| | - Timothy Kwang Yong Tay
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Center for Personalized Medicine (ZPM), Heidelberg, Germany
- Department of Anatomical Pathology, Singapore General Hospital, Singapore, Singapore
| | - Olga Kelemen
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
- Center for Personalized Medicine (ZPM), Tübingen, Germany
| | - Thomas Pauli
- Center for Personalized Medicine (ZPM), Freiburg, Germany
- Institute of Medical Bioinformatics and Systems Medicine (IBSM), Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Martina Kirchner
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Center for Personalized Medicine (ZPM), Heidelberg, Germany
| | - Klaus Kluck
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Center for Personalized Medicine (ZPM), Heidelberg, Germany
| | - Alexander Ott
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
- Center for Personalized Medicine (ZPM), Tübingen, Germany
| | - Marcus Renner
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Center for Personalized Medicine (ZPM), Heidelberg, Germany
- Division of Translational Medical Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Jakob Admard
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
- Center for Personalized Medicine (ZPM), Tübingen, Germany
| | - Axel Gschwind
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
- Center for Personalized Medicine (ZPM), Tübingen, Germany
| | - Silke Lassmann
- Institute for Surgical Pathology, Medical Center, University of Freiburg, Freiburg, Germany
- Center for Personalized Medicine (ZPM), Freiburg, Germany
| | - Hans Kestler
- Institute of Pathology, University Hospital Ulm, Ulm, Germany
- Center for Personalized Medicine (ZPM), Ulm, Germany
| | - Falko Fend
- Institute of Pathology and Neuropathology, University Hospital Tübingen, Tübingen, Germany
| | - Anna Lena Illert
- Department of Medicine I, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, 79085, Freiburg, Germany
- Medical Department for Hematology and Oncology, Klinikum Rechts der Isar, Technische Universität München, 80333, Munich, Germany
- German Cancer Consortium (DKTK) Partner Site Munich, and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Martin Werner
- Institute for Surgical Pathology, Medical Center, University of Freiburg, Freiburg, Germany
- Center for Personalized Medicine (ZPM), Freiburg, Germany
- German Cancer Consortium (DKTK) Partner Site Freiburg, and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Peter Möller
- Institute of Pathology, University Hospital Ulm, Ulm, Germany
| | | | - Nisar Malek
- Center for Personalized Medicine (ZPM), Tübingen, Germany
- Department of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany
| | - Peter Schirmacher
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Center for Personalized Medicine (ZPM), Heidelberg, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Stefan Fröhling
- Center for Personalized Medicine (ZPM), Heidelberg, Germany
- Division of Translational Medical Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Daniel Kazdal
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Center for Personalized Medicine (ZPM), Heidelberg, Germany
| | - Jan Budczies
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
- Center for Personalized Medicine (ZPM), Heidelberg, Germany.
- German Cancer Consortium (DKTK), Heidelberg, Germany.
| | - Albrecht Stenzinger
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
- Center for Personalized Medicine (ZPM), Heidelberg, Germany.
- German Cancer Consortium (DKTK), Heidelberg, Germany.
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13
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Mouritzen MT, Ladekarl M, Hager H, Mattesen TB, Lippert JB, Frank MS, Nøhr AK, Egendal IB, Carus A. Gene Expressions and High Lymphocyte Count May Predict Durable Clinical Benefits in Patients with Advanced Non-Small-Cell Lung Cancer Treated with Immune Checkpoint Inhibitors. Cancers (Basel) 2023; 15:4480. [PMID: 37760450 PMCID: PMC10526901 DOI: 10.3390/cancers15184480] [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: 06/20/2023] [Revised: 08/16/2023] [Accepted: 08/31/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND Not all patients with advanced non-small cell lung cancer (NSCLC) benefit from immune checkpoint inhibitors (ICIs). Therefore, we aimed to assess the predictive potential of gene expression profiling (GEP), peripheral immune cell counts, and clinical characteristics. METHODS The primary endpoint of this prospective, observational study was a durable clinical benefit (DCB) defined as progression-free survival >6 months. In a subgroup with histological biopsies of sufficient quality (n = 25), GEP was performed using the nCounter® PanCancer IO 360 panel. RESULTS DCB was observed in 49% of 123 included patients. High absolute lymphocyte count (ALC) and absence of liver metastases were associated with DCB (OR = 1.95, p = 0.038 and OR = 0.36, p = 0.046, respectively). GEP showed clustering of differentially expressed genes according to DCB, and a strong association between PD-L1 assessed by GEP (CD274) and immunohistochemistry (IHC) was observed (p = 0.00013). The TGF-β, dendritic cell, and myeloid signature scores were higher for patients without DCB, whereas the JAK/STAT loss signature scores were higher for patients with DCB (unadjusted p-values < 0.05). CONCLUSIONS ALC above 1.01 × 109/L and absence of liver metastases were significantly associated with DCB in ICI-treated patients with NSCLC. GEP was only feasible in 20% of the patients. GEP-derived signatures may be associated with clinical outcomes, and PD-L1 could be assessed by GEP rather than IHC.
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Affiliation(s)
- Mette T. Mouritzen
- Department of Oncology, Aalborg University Hospital, Hobrovej 18-22, 9000 Aalborg, Denmark; (M.L.); (A.C.)
- Clinical Cancer Research Centre, Aalborg University Hospital, Sdr. Skovvej 15, 9000 Aalborg, Denmark; (A.K.N.); (I.B.E.)
- Department of Clinical Medicine, Aalborg University, Selma Lagerløfs Vej 249, 9260 Gistrup, Denmark
| | - Morten Ladekarl
- Department of Oncology, Aalborg University Hospital, Hobrovej 18-22, 9000 Aalborg, Denmark; (M.L.); (A.C.)
- Clinical Cancer Research Centre, Aalborg University Hospital, Sdr. Skovvej 15, 9000 Aalborg, Denmark; (A.K.N.); (I.B.E.)
- Department of Clinical Medicine, Aalborg University, Selma Lagerløfs Vej 249, 9260 Gistrup, Denmark
| | - Henrik Hager
- Department of Clinical Pathology, Vejle Hospital, University Hospital of Southern Denmark, Beriderbakken 4, 7100 Vejle, Denmark (T.B.M.)
- Department of Clinical Research, University of Southern Denmark, J.B. Winsløws Vej 19.3, 5000 Odense, Denmark
| | - Trine B. Mattesen
- Department of Clinical Pathology, Vejle Hospital, University Hospital of Southern Denmark, Beriderbakken 4, 7100 Vejle, Denmark (T.B.M.)
| | - Julie B. Lippert
- Department of Clinical Pathology, Vejle Hospital, University Hospital of Southern Denmark, Beriderbakken 4, 7100 Vejle, Denmark (T.B.M.)
| | - Malene S. Frank
- Department of Clinical Oncology and Palliative Care, Zealand University Hospital, Sygehusvej 10, 4000 Roskilde, Denmark;
- Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
| | - Anne K. Nøhr
- Clinical Cancer Research Centre, Aalborg University Hospital, Sdr. Skovvej 15, 9000 Aalborg, Denmark; (A.K.N.); (I.B.E.)
- Center for Clinical Data Science (CLINDA), Aalborg University and Aalborg University Hospital, Sdr. Skovvej 15, 9000 Aalborg, Denmark
| | - Ida B. Egendal
- Clinical Cancer Research Centre, Aalborg University Hospital, Sdr. Skovvej 15, 9000 Aalborg, Denmark; (A.K.N.); (I.B.E.)
- Center for Clinical Data Science (CLINDA), Aalborg University and Aalborg University Hospital, Sdr. Skovvej 15, 9000 Aalborg, Denmark
| | - Andreas Carus
- Department of Oncology, Aalborg University Hospital, Hobrovej 18-22, 9000 Aalborg, Denmark; (M.L.); (A.C.)
- Clinical Cancer Research Centre, Aalborg University Hospital, Sdr. Skovvej 15, 9000 Aalborg, Denmark; (A.K.N.); (I.B.E.)
- Department of Clinical Medicine, Aalborg University, Selma Lagerløfs Vej 249, 9260 Gistrup, Denmark
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14
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Padovan M, Maccari M, Bosio A, De Toni C, Vizzaccaro S, Cestonaro I, Corrà M, Caccese M, Cerretti G, Zagonel V, Lombardi G. Actionable molecular alterations in newly diagnosed and recurrent IDH1/2 wild-type glioblastoma patients and therapeutic implications: a large mono-institutional experience using extensive next-generation sequencing analysis. Eur J Cancer 2023; 191:112959. [PMID: 37481865 DOI: 10.1016/j.ejca.2023.112959] [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: 05/14/2023] [Revised: 06/16/2023] [Accepted: 06/19/2023] [Indexed: 07/25/2023]
Abstract
BACKGROUND Next-generation sequencing (NGS) panels enable the identification of alterations in cancer-related genes. This may guide a molecularly targeted strategy for the treatment of glioblastoma (GBM). MATERIAL AND METHODS We retrospectively analysed data obtained using FoundationOne®CDx in a large cohort of IDH1/2 wild-type GBM. We aimed to 1) identify potentially actionable molecular alterations at diagnosis and/or recurrence based on ESMO Scale for Clinical Actionability of Molecular Targets (ESCAT) defined categories of targetability, 2) understand the clinical implications of NGS in terms of access to and activity of targeted therapies. RESULTS In 442 samples, an NGS profile was available in 98.2%. The median time from diagnosis to NGS profiling was 7.4 months (interquartile range (IQR): 3.4-13.2). Although about half of the patients had at least one actionable molecular alteration, only 3.4% of them were classified as ESCAT IB-IC and 6.7% as ESCAT IIB. Only 36 patients (10.5%) received personalised treatment in clinical trials or as off-label/compassionate use from second-line (median line 3). Most patients did not receive targeted therapy due to clinical deterioration/death (49.6%). Patients treated with dabrafenib/trametinib (9 patients) had the highest disease control rate of 77% and an objective response rate of 22%, with a median progression-free survival (PFS) of 5.2 months. No complete/partial responses were seen with the other regimens. 4/9 (44.4%) patients on anti-BRAF/anti-MEK, 2/4 patients (50%) on erdafitinib and 1/1 patient on capmatinib had a PFS ratio > 1.3. One recurrent GBM patient with ROS1-GOCP fusion maintained a complete response for 11.3 months on entrectinib. CONCLUSIONS Our study demonstrated the feasibility of NGS in GBM samples. As the number of clinically relevant targets was limited and only a small group of GBM patients were treated with targeted therapy, NGS testing should be performed in the context of clinical trials. Our results support the activity of anti-BRAF/anti-MEK, while for the other agents prospective study results are needed to draw solid conclusions.
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Affiliation(s)
- Marta Padovan
- Department of Oncology, Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy; PhD course in Clinical and Experimental Oncology and Immunology, Department of Surgery, Oncology and Gastroenterology, University of Padua, Padua, Italy.
| | - Marta Maccari
- Department of Oncology, Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy; School of Specialization in Medical Oncology, Department of Surgery, Oncology and Gastroenterology, University of Padua, Padua, Italy
| | - Alberto Bosio
- Department of Oncology, Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy; School of Specialization in Medical Oncology, Department of Surgery, Oncology and Gastroenterology, University of Padua, Padua, Italy
| | - Chiara De Toni
- Department of Oncology, Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Salvatore Vizzaccaro
- Department of Oncology, Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Ilaria Cestonaro
- Department of Oncology, Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Martina Corrà
- Department of Oncology, Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Mario Caccese
- Department of Oncology, Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Giulia Cerretti
- Department of Oncology, Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy; PhD course in Clinical and Experimental Oncology and Immunology, Department of Surgery, Oncology and Gastroenterology, University of Padua, Padua, Italy
| | - Vittorina Zagonel
- Department of Oncology, Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Giuseppe Lombardi
- Department of Oncology, Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
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15
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Donker HC, Cuppens K, Froyen G, Groen HJM, Hiltermann TJN, Maes B, Schuuring E, Volders PJ, Lunter GA, van Es B. Reliability of panel-based mutational signatures for immune-checkpoint-inhibition efficacy prediction in non-small cell lung cancer. Lung Cancer 2023; 182:107286. [PMID: 37421934 DOI: 10.1016/j.lungcan.2023.107286] [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: 05/09/2023] [Revised: 06/20/2023] [Accepted: 06/23/2023] [Indexed: 07/10/2023]
Abstract
OBJECTIVES Mutational signatures (MS) are gaining traction for deriving therapeutic insights for immune checkpoint inhibition (ICI). We asked if MS attributions from comprehensive targeted sequencing assays are reliable enough for predicting ICI efficacy in non-small cell lung cancer (NSCLC). METHODS Somatic mutations of m = 126 patients were assayed using panel-based sequencing of 523 cancer-related genes. In silico simulations of MS attributions for various panels were performed on a separate dataset of m = 101 whole genome sequenced patients. Non-synonymous mutations were deconvoluted using COSMIC v3.3 signatures and used to test a previously published machine learning classifier. RESULTS The ICI efficacy predictor performed poorly with an accuracy of 0.51-0.09+0.09, average precision of 0.52-0.11+0.11, and an area under the receiver operating characteristic curve of 0.50-0.09+0.10. Theoretical arguments, experimental data, and in silico simulations pointed to false negative rates (FNR) related to panel size. A secondary effect was observed, where deconvolution of small ensembles of point mutations lead to reconstruction errors and misattributions. CONCLUSION MS attributions from current targeted panel sequencing are not reliable enough to predict ICI efficacy. We suggest that, for downstream classification tasks in NSCLC, signature attributions be based on whole exome or genome sequencing instead.
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Affiliation(s)
- H C Donker
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands; Global Computational Biology & Digital Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany.
| | - K Cuppens
- Department of Pulmonology and Thoracic Oncology, Jessa Hospital, Hasselt, Belgium; Department of Thoracic Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands; Faculty of Medicine and Life Sciences - LCRC, Hasselt University, Diepenbeek, Belgium.
| | - G Froyen
- Faculty of Medicine and Life Sciences - LCRC, Hasselt University, Diepenbeek, Belgium; Laboratory of Molecular Diagnostics, Dept Clinical Biology, Jessa Hospital, Hasselt, Belgium
| | - H J M Groen
- Department of Pulmonary Diseases, University of Groningen and University Medical Center Groningen, the Netherlands.
| | - T J N Hiltermann
- Department of Pulmonary Diseases, University of Groningen and University Medical Center Groningen, the Netherlands.
| | - B Maes
- Faculty of Medicine and Life Sciences - LCRC, Hasselt University, Diepenbeek, Belgium; Laboratory of Molecular Diagnostics, Dept Clinical Biology, Jessa Hospital, Hasselt, Belgium.
| | - E Schuuring
- Department of Pathology, University of Groningen and University Medical Center Groningen, the Netherlands.
| | - P-J Volders
- Laboratory of Molecular Diagnostics, Dept Clinical Biology, Jessa Hospital, Hasselt, Belgium.
| | - G A Lunter
- Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, Oxford University, Oxford, UK.
| | - B van Es
- Central Diagnostic Laboratory, University Medical Centre Utrecht, Utrecht University, Heidelberglaan 100, 3508 GA Utrecht, the Netherlands; MedxAI, Theophile de Bockstraat 77-1, 1058VA Amsterdam, the Netherlands.
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16
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Yang W, Qiang Y, Wu W, Xin J. Graph-ETMB: A graph neural network-based model for tumour mutation burden estimation. Comput Biol Chem 2023; 105:107900. [PMID: 37285654 DOI: 10.1016/j.compbiolchem.2023.107900] [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: 01/25/2023] [Revised: 05/06/2023] [Accepted: 05/31/2023] [Indexed: 06/09/2023]
Abstract
As a critical indicator of how easily the human immune system recognizes tumour cells, tumour mutational burden (TMB) is widely used to identify the potential effectiveness of immune checkpoint inhibitor therapy. However, the difficulties associated with the whole exome sequencing (WES) process, such as high tissue sampling requirements, high costs, and long turnaround times, have hindered the widespread clinical use of WES. Furthermore, the mutation landscape varies across cancer types, and the distribution of TMBs varies across cancer subtypes. Therefore, there is an urgent clinical need to develop a small cancer-specific panel to estimate TMB accurately, predict immunotherapy response cost-effectively and assist physicians in precise decision-making. This paper uses a graph neural network framework (Graph-ETMB) to address the cancer specificity problem in TMB. The correlation and tractability between mutated genes are described through message-passing and aggregation algorithms between graph networks. Then the graph neural network is trained in the lung adenocarcinoma data through a semi-supervised approach, resulting in a mutation panel containing 20 genes with a length of only 0.16 Mb. The number of genes to be detected is smaller than most commercial panels currently in clinical use. In addition, the efficacy of the designed panel in predicting immunotherapy response was further determined in an independent validation dataset, exploring the association between TMB and immunotherapy efficacy.
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Affiliation(s)
- Wanting Yang
- College of Information and Computer, Taiyuan University of Technology, Taiyuan, Shanxi 030000, China
| | - Yan Qiang
- College of Information and Computer, Taiyuan University of Technology, Taiyuan, Shanxi 030000, China.
| | - Wei Wu
- Department of Clinical Laboratory, Affiliated People's Hospital of Shanxi Medical University, Shanxi Provincial People's Hospital, Taiyuan, Shanxi, China
| | - Jialong Xin
- College of Information and Computer, Taiyuan University of Technology, Taiyuan, Shanxi 030000, China
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17
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Ji JH, Ha SY, Lee D, Sankar K, Koltsova EK, Abou-Alfa GK, Yang JD. Predictive Biomarkers for Immune-Checkpoint Inhibitor Treatment Response in Patients with Hepatocellular Carcinoma. Int J Mol Sci 2023; 24:7640. [PMID: 37108802 PMCID: PMC10144688 DOI: 10.3390/ijms24087640] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 04/15/2023] [Accepted: 04/18/2023] [Indexed: 04/29/2023] Open
Abstract
Hepatocellular carcinoma (HCC) has one of the highest mortality rates among solid cancers. Late diagnosis and a lack of efficacious treatment options contribute to the dismal prognosis of HCC. Immune checkpoint inhibitor (ICI)-based immunotherapy has presented a new milestone in the treatment of cancer. Immunotherapy has yielded remarkable treatment responses in a range of cancer types including HCC. Based on the therapeutic effect of ICI alone (programmed cell death (PD)-1/programmed death-ligand1 (PD-L)1 antibody), investigators have developed combined ICI therapies including ICI + ICI, ICI + tyrosine kinase inhibitor (TKI), and ICI + locoregional treatment or novel immunotherapy. Although these regimens have demonstrated increasing treatment efficacy with the addition of novel drugs, the development of biomarkers to predict toxicity and treatment response in patients receiving ICI is in urgent need. PD-L1 expression in tumor cells received the most attention in early studies among various predictive biomarkers. However, PD-L1 expression alone has limited utility as a predictive biomarker in HCC. Accordingly, subsequent studies have evaluated the utility of tumor mutational burden (TMB), gene signatures, and multiplex immunohistochemistry (IHC) as predictive biomarkers. In this review, we aim to discuss the current state of immunotherapy for HCC, the results of the predictive biomarker studies, and future direction.
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Affiliation(s)
- Jun Ho Ji
- Division of Hematology and Oncology, Department of Internal Medicine, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon 51353, Republic of Korea
- Karsh Division of Gastroenterology and Hepatology, Comprehensive Transplant Center, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Sang Yun Ha
- Karsh Division of Gastroenterology and Hepatology, Comprehensive Transplant Center, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 03181, Republic of Korea
| | - Danbi Lee
- Karsh Division of Gastroenterology and Hepatology, Comprehensive Transplant Center, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Department of Gastroenterology, Liver Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea
| | - Kamya Sankar
- Division of Medical Oncology, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Ekaterina K. Koltsova
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Ghassan K. Abou-Alfa
- Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Weil Cornell Medicine, Cornell University, New York, NY 14853, USA
| | - Ju Dong Yang
- Karsh Division of Gastroenterology and Hepatology, Comprehensive Transplant Center, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
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18
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Pang J, Xia H, Mi S, Zhang W, Pendrick D, Freeman C, Fernandes H, Mansukhani M, Hsiao SJ. Benchmarking bioinformatics approaches for tumour mutational burden evaluation from a large cancer panel against whole-exome sequencing. J Clin Pathol 2023; 76:276-280. [PMID: 35906043 DOI: 10.1136/jcp-2022-208385] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 07/22/2022] [Indexed: 11/03/2022]
Abstract
Tumour mutational burden (TMB) is used to predict response to immunotherapies. Although several groups have proposed calculation methods for TMB, a clear consensus has not yet emerged. In this study, we explored TMB calculation approaches with a 586-gene cancer panel (1.75 Mb) benchmarked to TMB measured by whole-exome sequencing (WES), using 30 samples across a range of tumour types. We explored variant allelic fraction (VAF) cut-offs of 5% and 10%, population database filtering at 0.001, 0.0001 and 0.000025, as well as different combinations of synonymous, insertion/deletion and intronic (splice site) variants, as well as exclusion of hotspot mutations, and examined the effect on TMB correlation. Good correlation (Spearman, range 0.66-0.78) between WES and panel TMB was seen across all methods evaluated. Each method of TMB calculation evaluated showed good positive per cent agreement and negative per cent agreement using 10 mutations/Mb as a cut-off, suggesting that multiple TMB calculation approaches may yield comparable results.
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Affiliation(s)
- Jiuhong Pang
- Pathology and Cell Biology, Columbia University Irving Medical Center, New York City, New York, USA
| | - Hongai Xia
- Pathology and Cell Biology, Columbia University Irving Medical Center, New York City, New York, USA
| | - Shijun Mi
- Pathology and Cell Biology, Columbia University Irving Medical Center, New York City, New York, USA
| | - Wen Zhang
- Pathology and Cell Biology, Columbia University Irving Medical Center, New York City, New York, USA
| | - Danielle Pendrick
- Pathology and Cell Biology, Columbia University Irving Medical Center, New York City, New York, USA
| | - Christopher Freeman
- Pathology and Cell Biology, Columbia University Irving Medical Center, New York City, New York, USA
| | - Helen Fernandes
- Pathology and Cell Biology, Columbia University Irving Medical Center, New York City, New York, USA
| | - Mahesh Mansukhani
- Pathology and Cell Biology, Columbia University Irving Medical Center, New York City, New York, USA
| | - Susan J Hsiao
- Pathology and Cell Biology, Columbia University Irving Medical Center, New York City, New York, USA
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19
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Markham JF, Fellowes AP, Green T, Leal JL, Legaie R, Cullerne D, Morris T, John T, Solomon B, Fox SB. Predicting response to immune checkpoint blockade in NSCLC with tumour-only RNA-seq. Br J Cancer 2023; 128:1148-1154. [PMID: 36572732 PMCID: PMC10006283 DOI: 10.1038/s41416-022-02105-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 12/04/2022] [Accepted: 12/06/2022] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Targeted RNA sequencing (RNA-seq) from FFPE specimens is used clinically in cancer for its ability to estimate gene expression and to detect fusions. Using a cohort of NSCLC patients, we sought to determine whether targeted RNA-seq could be used to measure tumour mutational burden (TMB) and the expression of immune-cell-restricted genes from FFPE specimens and whether these could predict response to immune checkpoint blockade. METHODS Using The Cancer Genome Atlas LUAD dataset, we developed a method for determining TMB from tumour-only RNA-seq and showed a correlation with DNA sequencing derived TMB calculated from tumour/normal sample pairs (Spearman correlation = 0.79, 95% CI [0.73, 0.83]. We applied this method to targeted sequencing data from our patient cohort and validated these results against TMB estimates obtained using an orthogonal assay (Spearman correlation = 0.49, 95% CI [0.24, 0.68]). RESULTS We observed that the RNA measure of TMB was significantly higher in responders to immune blockade treatment (P = 0.028) and that it was predictive of response (AUC = 0.640 with 95% CI [0.493, 0.786]). By contrast, the expression of immune-cell-restricted genes was uncorrelated with patient outcome. CONCLUSION TMB calculated from targeted RNA sequencing has a similar diagnostic ability to TMB generated from targeted DNA sequencing.
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Affiliation(s)
- John F Markham
- Peter MacCallum Cancer Centre, 305 Grattan Street, Parkville, VIC, 3000, Australia
- Department of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia
| | - Andrew P Fellowes
- Peter MacCallum Cancer Centre, 305 Grattan Street, Parkville, VIC, 3000, Australia.
- Department of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.
| | - Thomas Green
- Peter MacCallum Cancer Centre, 305 Grattan Street, Parkville, VIC, 3000, Australia
- Department of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia
| | - Jose Luis Leal
- Peter MacCallum Cancer Centre, 305 Grattan Street, Parkville, VIC, 3000, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia
| | - Roxane Legaie
- Peter MacCallum Cancer Centre, 305 Grattan Street, Parkville, VIC, 3000, Australia
- Department of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia
| | - Darren Cullerne
- Murdoch Children's Research Institute, Flemington Road, Parkville, VIC, 3052, Australia
| | - Tessa Morris
- Southern Blood and Cancer Service, Te Whatu Ora Southern, Dunedin, New Zealand
- Mercy Cancer Care, Mercy Hospital, Dunedin, New Zealand
| | - Tom John
- Peter MacCallum Cancer Centre, 305 Grattan Street, Parkville, VIC, 3000, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia
| | - Ben Solomon
- Peter MacCallum Cancer Centre, 305 Grattan Street, Parkville, VIC, 3000, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia
| | - Stephen B Fox
- Peter MacCallum Cancer Centre, 305 Grattan Street, Parkville, VIC, 3000, Australia
- Department of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia
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20
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Pipek O, Vizkeleti L, Doma V, Alpár D, Bödör C, Kárpáti S, Timar J. The Driverless Triple-Wild-Type (BRAF, RAS, KIT) Cutaneous Melanoma: Whole Genome Sequencing Discoveries. Cancers (Basel) 2023; 15:cancers15061712. [PMID: 36980598 PMCID: PMC10046270 DOI: 10.3390/cancers15061712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 03/06/2023] [Accepted: 03/07/2023] [Indexed: 03/18/2023] Open
Abstract
The genetic makeup of the triple-wild-type melanoma (BRAF, NRAS and NF1) has been known for some time, but those studies grouped together rare histopathological versions with common ones, as well as mucosal and even uveal ones. Here we used whole genome sequencing to genetically characterize the triple-wild-type melanoma (TWM), termed here as BRAF, RAS and KIT wild type (the most frequent oncogenic drivers of skin melanoma), using the most common histological forms and excluding rare ones. All these tumors except one were clearly induced by UV based on the mutational signature. The tumor mutational burden was low in TWM, except in the NF1 mutant forms, and a relatively high frequency of elevated LOH scores suggested frequent homologue recombination deficiency, but this was only confirmed by the mutation signature in one case. Furthermore, all these TWMs were microsatellite-stabile. In this driverless setting, we revealed rare oncogenic drivers known from melanoma or other cancer types and identified rare actionable tyrosine kinase mutations in NTRK1, RET and VEGFR1. Mutations of TWM identified genes involved in antitumor immunity (negative and positive predictors of immunotherapy), Ca++ and BMP signaling. The two regressed melanomas of this cohort shared a 17-gene mutation signature, containing genes involved in antitumor immunity and several cell surface receptors. Even with this comprehensive genomic approach, a few cases remained driverless, suggesting that unrecognized drivers are hiding among passenger mutations.
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Affiliation(s)
- Orsolya Pipek
- Department of Physics of Complex Systems, ELTE Eötvös Loránd University, 1053 Budapest, Hungary
| | - Laura Vizkeleti
- Department of Pathology, Forensic and Insurance Medicine, Semmelweis University, 1085 Budapest, Hungary
- Department of Bioinformatics, Semmelweis University, 1085 Budapest, Hungary
| | - Viktória Doma
- Department of Dermatology, Venerology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary
| | - Donát Alpár
- Department of Pathology and Experimental Cancer Research, Semmelweis University, 1085 Budapest, Hungary
| | - Csaba Bödör
- Department of Pathology and Experimental Cancer Research, Semmelweis University, 1085 Budapest, Hungary
| | - Sarolta Kárpáti
- Department of Dermatology, Venerology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary
| | - Jozsef Timar
- Department of Pathology, Forensic and Insurance Medicine, Semmelweis University, 1085 Budapest, Hungary
- Correspondence:
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21
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Meri-Abad M, Moreno-Manuel A, García SG, Calabuig-Fariñas S, Pérez RS, Herrero CC, Jantus-Lewintre E. Clinical and technical insights of tumour mutational burden in non-small cell lung cancer. Crit Rev Oncol Hematol 2023; 182:103891. [PMID: 36565893 DOI: 10.1016/j.critrevonc.2022.103891] [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: 10/30/2022] [Revised: 11/28/2022] [Accepted: 11/30/2022] [Indexed: 12/24/2022] Open
Abstract
Despite the durable responses provided by the introduction of checkpoint inhibitors in advanced Non-Small Cell Lung Cancer (NSCLC) without actionable targets in a subset of patients, a large proportion of them will progress after immunotherapy. Programmed Death Ligand 1 (PD-L1) was the first biomarker approved for immunotherapy, although it has multiple limitations, thus the development of novel biomarkers is an urgent need. Tumour Mutational Burden (TMB) is an emerging biomarker defined as the total number of mutations per coding area of tumour genome. Targeted gene panels have emerged as a cost-effective approach to estimate TMB. However, there is still an unmet need to fully standardize sample requirements, panel size, and bioinformatic pipelines to ensure that TMB is calculated appropriately. In addition, researchers are also evaluating TMB calculation in liquid biopsy. In this work, we summarize the relevant advances and the clinical utility of TMB in NSCLC.
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Affiliation(s)
- Marina Meri-Abad
- Medical Oncology Department, General University Hospital of Valencia, Valencia, Spain
| | - Andrea Moreno-Manuel
- Mixed Unit TRIAL (Príncipe Felipe Research Centre & Fundación para la Investigación del Hospital General Universitario de Valencia), Valencia, Spain; CIBERONC, Valencia, Spain
| | - Sandra Gallach García
- Mixed Unit TRIAL (Príncipe Felipe Research Centre & Fundación para la Investigación del Hospital General Universitario de Valencia), Valencia, Spain; CIBERONC, Valencia, Spain
| | - Silvia Calabuig-Fariñas
- Mixed Unit TRIAL (Príncipe Felipe Research Centre & Fundación para la Investigación del Hospital General Universitario de Valencia), Valencia, Spain; CIBERONC, Valencia, Spain; Pathology Department, Universitat de València, Valencia, Spain
| | - Rafael Sirera Pérez
- CIBERONC, Valencia, Spain; Biotechnology Department, Universitat Politècnica de València, Valencia, Spain; Mixed Unit Nanomedicine, Centro Investigación Príncipe Felipe-Universitat Politècnica de Valencia, 46022 Valencia, Spain
| | - Carlos Camps Herrero
- Medical Oncology Department, General University Hospital of Valencia, Valencia, Spain; Mixed Unit TRIAL (Príncipe Felipe Research Centre & Fundación para la Investigación del Hospital General Universitario de Valencia), Valencia, Spain; CIBERONC, Valencia, Spain; Department of Medicine, Universitat de València, Valencia, Spain
| | - Eloisa Jantus-Lewintre
- Mixed Unit TRIAL (Príncipe Felipe Research Centre & Fundación para la Investigación del Hospital General Universitario de Valencia), Valencia, Spain; CIBERONC, Valencia, Spain; Biotechnology Department, Universitat Politècnica de València, Valencia, Spain; Mixed Unit Nanomedicine, Centro Investigación Príncipe Felipe-Universitat Politècnica de Valencia, 46022 Valencia, Spain.
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22
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Naso J, Lo YC, Sholl LM. Updates in pathology and molecular diagnostics to inform the evolving landscape of thoracic surgery and oncology. J Surg Oncol 2023; 127:244-257. [PMID: 36630101 DOI: 10.1002/jso.27184] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 12/08/2022] [Accepted: 12/12/2022] [Indexed: 01/12/2023]
Abstract
The pathologic assessment of lung cancers provides essential guidance to the surgeon and oncologist who are considering the best treatment strategies for patients with both early and advanced-stage disease. The management of patients with lung cancer is predicated first and foremost on access to an accurate diagnosis, even when the sample size is limited, as is often the case with use of modern, minimally invasive sampling techniques. Once the diagnosis and disease stage are established, predictive biomarker testing may be essential, particularly for those patients with nonsmall cell lung carcinoma (NSCLC) being considered for immunotherapy or genomic biomarker-driven targeted therapy. This review will discuss the best practices for the diagnosis of NSCLC using morphology and immunohistochemistry, thus providing the surgeon with needed information to understand and critically evaluate pathology reports. Controversial and evolving topics including tumor spread through airspaces, evaluation of multiple tumors, and staging based on invasive tumor size will be addressed. Clinical genomic profiling in NSCLC is driven by published guidelines and reflects evidence based on clinical trials and regulatory approvals. In this fast-moving space, surgeons should be aware of the critical immunohistochemical and genomic biomarkers that drive systemic therapy decisions and anticipate when such testing will be required, both to ensure adequate sampling and to advise the pathologist when tumor material will be required for biomarker analysis. The basic approaches to and sample requirements for molecular biomarker testing will be addressed. As biomarker testing moves exclusively from advanced-stage patients into earlier stage disease, the surgeon should be aware of the relevant markers and work with the pathologist and oncologist to ensure that this information is available to facilitate timely access to therapies not just in the advanced setting, but in consideration of neoadjuvant and adjuvant care.
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Affiliation(s)
- Julia Naso
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Ying-Chun Lo
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Lynette M Sholl
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA
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23
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Esposito Abate R, Cheetham MH, Fairley JA, Pasquale R, Sacco A, Nicola W, Deans ZC, Patton SJ, Normanno N. External quality assessment (EQA) for tumor mutational burden: results of an international IQN path feasibility pilot scheme. Virchows Arch 2023; 482:347-355. [PMID: 36355212 PMCID: PMC9931778 DOI: 10.1007/s00428-022-03444-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 10/12/2022] [Accepted: 10/25/2022] [Indexed: 11/11/2022]
Abstract
Tumor mutational burden (TMB) has recently been approved as an agnostic biomarker for immune checkpoint inhibitors. However, methods for TMB testing have not yet been standardized. The International Quality Network for Pathology (IQNPath) organized a pilot external quality assessment (EQA) scheme for TMB testing. The aim of this program was the validation of the materials and the procedures for the EQA of this complex biomarker. Five formalin-fixed paraffin-embedded (FFPE) cell lines were selected to mimic the various TMB values observed in clinical practice. The FFPE samples were tested with the FoundationOne CDx (F1CDx) assay as the reference test and three commercially available targeted sequencing panels. Following this internal validation, the five cell lines were sent to 29 laboratories selected on the basis of a previous survey. Nineteen of the 23 laboratories that submitted results (82.6%) used targeted sequencing for TMB estimation. Only two laboratories performed whole exome sequencing (WES) and two assessed TMB by clinical exome. A high variability in the reported TMB values was observed. The variability was higher for samples with the highest TMB value according to the F1CDx test. However, good reproducibility of the TMB score was shown by laboratories using the same panel. The majority of laboratories did not indicate a TMB cut-off value for clinical interpretation. In conclusion, this pilot EQA scheme suggests that it is feasible to run such an EQA program for TMB assessment. However, the results of our pilot highlight the numerous challenges for the standardization of this test.
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Affiliation(s)
- Riziero Esposito Abate
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori "Fondazione G. Pascale"-IRCCS, Naples, Italy
| | - Melanie H Cheetham
- European Molecular Genetics Quality Network (EMQN), Unit 4, Enterprise House, Pencroft Way, Manchester Science Park, Manchester, M15 6SE, UK
| | - Jennifer A Fairley
- GenQA, Department of Laboratory Medicine, Royal Infirmary of Edinburgh, Little France Crescent, Edinburgh, EH16 4SA, UK
| | - Raffaella Pasquale
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori "Fondazione G. Pascale"-IRCCS, Naples, Italy
| | - Alessandra Sacco
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori "Fondazione G. Pascale"-IRCCS, Naples, Italy
| | - Wolstenholme Nicola
- European Molecular Genetics Quality Network (EMQN), Unit 4, Enterprise House, Pencroft Way, Manchester Science Park, Manchester, M15 6SE, UK
| | - Zandra C Deans
- GenQA, Department of Laboratory Medicine, Royal Infirmary of Edinburgh, Little France Crescent, Edinburgh, EH16 4SA, UK
| | - Simon J Patton
- European Molecular Genetics Quality Network (EMQN), Unit 4, Enterprise House, Pencroft Way, Manchester Science Park, Manchester, M15 6SE, UK
| | - Nicola Normanno
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori "Fondazione G. Pascale"-IRCCS, Naples, Italy.
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24
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Ruel LJ, Li Z, Gaudreault N, Henry C, Saavedra Armero V, Boudreau DK, Zhang T, Landi MT, Labbé C, Couture C, Desmeules P, Joubert P, Bossé Y. Tumor Mutational Burden by Whole-Genome Sequencing in Resected NSCLC of Never Smokers. Cancer Epidemiol Biomarkers Prev 2022; 31:2219-2227. [PMID: 36126278 PMCID: PMC9720425 DOI: 10.1158/1055-9965.epi-22-0630] [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: 05/30/2022] [Revised: 08/09/2022] [Accepted: 09/19/2022] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Data are scarce about tumor mutational burden (TMB) as a biomarker in never smokers with non-small cell lung cancer (NSCLC). METHODS TMB was assessed by whole-genome sequencing (WGS) and compared with in silico reduced whole-exome sequencing (WES) and targeted commercial next-generation sequencing (NGS) gene panels in 92 paired tumor-normal samples from never smokers who underwent NSCLC resection with curative intent. Analyses were performed to test for association with survival after surgery and to identify the optimal prognostic TMB cutoff. RESULTS Tumors of never smokers with NSCLC had low TMB scores (median 1.57 mutations/Mb; range, 0.13-17.94). A TMB cutoff of 1.70 mutations/Mb was associated with a 5-year overall survival of 58% in the high-TMB (42% of cases) compared with 86% in low-TMB patients (Wald P = 0.0029). TMB scores from WGS and WES were highly correlated (Spearman ρ = 0.93, P < 2.2e-16). TMB scores from NGS panels demonstrated high intraindividual fluctuations and identified high-TMB patients with 65% concordance in average compared with WGS. CONCLUSIONS In resected NSCLC of never smokers, high TMB was associated with worse prognosis. WES provided a good estimate of TMB while targeted NGS panels seem to lack adequate depth and resolution in the setting of low mutation burden. IMPACT TMB is a prognostic indicator of survival in resected NSCLC from individuals who never smoked. In this setting of low mutation counts, TMB can be accurately measured by WGS or WES, but not NGS panels.
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Affiliation(s)
- Louis-Jacques Ruel
- Institut universitaire de cardiologie et de pneumologie de Québec – Université Laval, Quebec City, Canada
| | - Zhonglin Li
- Institut universitaire de cardiologie et de pneumologie de Québec – Université Laval, Quebec City, Canada
| | - Nathalie Gaudreault
- Institut universitaire de cardiologie et de pneumologie de Québec – Université Laval, Quebec City, Canada
| | - Cyndi Henry
- Institut universitaire de cardiologie et de pneumologie de Québec – Université Laval, Quebec City, Canada
| | - Victoria Saavedra Armero
- Institut universitaire de cardiologie et de pneumologie de Québec – Université Laval, Quebec City, Canada
| | - Dominique K. Boudreau
- Institut universitaire de cardiologie et de pneumologie de Québec – Université Laval, Quebec City, Canada
| | - Tongwu Zhang
- Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland
| | | | - Catherine Labbé
- Institut universitaire de cardiologie et de pneumologie de Québec – Université Laval, Quebec City, Canada
| | - Christian Couture
- Institut universitaire de cardiologie et de pneumologie de Québec – Université Laval, Quebec City, Canada
| | - Patrice Desmeules
- Institut universitaire de cardiologie et de pneumologie de Québec – Université Laval, Quebec City, Canada
| | - Philippe Joubert
- Institut universitaire de cardiologie et de pneumologie de Québec – Université Laval, Quebec City, Canada
| | - Yohan Bossé
- Institut universitaire de cardiologie et de pneumologie de Québec – Université Laval, Quebec City, Canada.,Department of Molecular Medicine, Laval University, Quebec City, Canada.,Corresponding Author: Yohan Bossé, Institut universitaire de cardiologie et de pneumologie de Québec, 2725 chemin Sainte-Foy, Québec, Québec G1V 4G5, Canada. Phone: 418-656-8711, ext. 3725; E-mail:
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25
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Bubendorf L, Zoche M, Dafni U, Rüschoff JH, Prince SS, Marti N, Stavrou A, Kammler R, Finn SP, Moch H, Peters S, Stahel RA. Prognostic impact of tumour mutational burden in resected stage I and II lung adenocarcinomas from a European Thoracic Oncology Platform Lungscape cohort. Lung Cancer 2022; 174:27-35. [PMID: 36283211 DOI: 10.1016/j.lungcan.2022.09.014] [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: 07/25/2022] [Revised: 09/20/2022] [Accepted: 09/28/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND The primary objective of this study is to evaluate tumor mutational burden (TMB), its associations with selected clinicopathological and molecular characteristics as well as its clinical significance, in a retrospective cohort of surgically resected stage I-II lung adenocarcinomas, subset of the ETOP Lungscape cohort. METHODS TMB was evaluated on tumor DNA extracted from resected primary lung adenocarcinomas, based on FoundationOne®CDx (F1CDx) genomic profiling, centrally performed at the University Hospital Zurich. The F1CDx test sequences the complete exons of 324 cancer-related genes and detects substitutions, insertions and deletions (indels), copy number alterations and gene rearrangements. In addition, the genomic biomarkers TMB and microsatellite instability (MSI) are analyzed. RESULTS In the Lungscape cohort, TMB was assessed in 78 surgically resected lung adenocarcinomas from two Swiss centers (62 % males, 55 %/45 % stage I/II). Median TMB was 7.6 Muts/Mb, with TMB high (≥10 Muts/Mb) in 40 % of cases (95 %CI:29 %-52 %). The most frequently mutated genes were TP53/KRAS/EGFR/MLL2 detected in 58 %/38 %/33 %/30 % of samples, respectively. TMB was significantly higher among males (TMB high: 50 % vs 23 % in females, p = 0.032), as well as among current/former smokers (TMB high: 44 % vs 8 % in never smokers, p = 0.023). Furthermore, TMB was significantly higher in TP53 mutated than in non-mutated patients (TMB high: 60 % vs 12 %, p < 0.001), while it was higher in EGFR non-mutated patients compared to EGFR mutated (TMB high: 48 % vs 23 %, p = 0.049). At a median follow-up time of 56.1 months (IQR:38.8-72.0), none of the three outcome variables (OS, RFS, TTR) differed significantly by TMB status (all p-values > 5 %). This was also true when adjusting for clinicopathological characteristics. CONCLUSIONS While presence of TP53 mutations and absence of EGFR mutations are associated with high TMB, increased TMB had no significant prognostic impact in patients with resected stage I/II lung adenocarcinoma beyond T and N classification, in both unadjusted and adjusted analyses.
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Affiliation(s)
- Lukas Bubendorf
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Martin Zoche
- Department of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland
| | - Urania Dafni
- ETOP IBCSG Partners Foundation Statistical Center, Frontier Science Foundation-Hellas & National and Kapodistrian University of Athens, Athens, Greece
| | - Jan Hendrik Rüschoff
- Department of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland
| | - Spasenija Savic Prince
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Nesa Marti
- Translational Research Coordination, ETOP IBCSG Partners Foundation, Coordinating Center Bern, Switzerland
| | - Androniki Stavrou
- ETOP IBCSG Partners Foundation Statistical Center, Frontier Science Foundation-Hellas, Athens, Greece
| | - Roswitha Kammler
- Translational Research Coordination, ETOP IBCSG Partners Foundation, Coordinating Center Bern, Switzerland
| | - Stephen P Finn
- Cancer Molecular Diagnostics and Histopathology, St. James's Hospital and Trinity College Dublin, Ireland
| | - Holger Moch
- Department of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland
| | - Solange Peters
- Department of Oncology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Rolf A Stahel
- ETOP IBCSG Partners Foundation, Coordinating Center, Bern, Switzerland.
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26
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Fang H, Bertl J, Zhu X, Lam TC, Wu S, Shih DJ, Wong JW. Tumour mutational burden is overestimated by target cancer gene panels. JOURNAL OF THE NATIONAL CANCER CENTER 2022. [DOI: 10.1016/j.jncc.2022.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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27
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Hayes DF, Herbst RS, Myles JL, Topalian SL, Yohe SL, Aronson N, Bellizzi AM, Basu Roy U, Bradshaw G, Edwards RH, El-Gabry EA, Elvin J, Gajewski TF, McShane LM, Oberley M, Philip R, Rimm DL, Rosenbaum JN, Rubin EH, Schlager L, Sherwood SW, Stewart M, Taube JM, Thurin M, Vasalos P, Laser J. Proceedings From the ASCO/College of American Pathologists Immune Checkpoint Inhibitor Predictive Biomarker Summit. JCO Precis Oncol 2022; 6:e2200454. [PMID: 36446042 PMCID: PMC10530621 DOI: 10.1200/po.22.00454] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 09/29/2022] [Accepted: 10/11/2022] [Indexed: 09/29/2023] Open
Abstract
PURPOSE Immune checkpoint inhibition (ICI) therapy represents one of the great advances in the field of oncology, highlighted by the Nobel Prize in 2018. Multiple predictive biomarkers for ICI benefit have been proposed. These include assessment of programmed death ligand-1 expression by immunohistochemistry, and determination of mutational genotype (microsatellite instability or mismatch repair deficiency or tumor mutational burden) as a reflection of neoantigen expression. However, deployment of these assays has been challenging for oncologists and pathologists alike. METHODS To address these issues, ASCO and the College of American Pathologists convened a virtual Predictive Factor Summit from September 14 to 15, 2021. Representatives from the academic community, US Food and Drug Administration, Centers for Medicare and Medicaid Services, National Institutes of Health, health insurance organizations, pharmaceutical companies, in vitro diagnostics manufacturers, and patient advocate organizations presented state-of-the-art predictive factors for ICI, associated problems, and possible solutions. RESULTS The Summit provided an overview of the challenges and opportunities for improvement in assay execution, interpretation, and clinical applications of programmed death ligand-1, microsatellite instability-high or mismatch repair deficient, and tumor mutational burden-high for ICI therapies, as well as issues related to regulation, reimbursement, and next-generation ICI biomarker development. CONCLUSION The Summit concluded with a plan to generate a joint ASCO/College of American Pathologists strategy for consideration of future research in each of these areas to improve tumor biomarker tests for ICI therapy.
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Affiliation(s)
| | | | | | - Suzanne L. Topalian
- Johns Hopkins Bloomberg-Kimmel Institute for Cancer Immunotherapy, Baltimore, MD
| | | | | | | | | | | | - Robin H. Edwards
- Bristol-Myers Squibb, New York, NY (at time of summit)
- Daiichi Sankyo Inc, Baskin Ridge, NJ
| | - Ehab A. El-Gabry
- Roche Tissue Diagnostics, Indianapolis, IN
- Akoya Biosciences, Marlborough, MA
| | | | | | - Lisa M. McShane
- National Institutes of Health/National Cancer Institute, Bethesda, MD
| | | | - Reena Philip
- United States Food and Drug Administration, Silver Spring, MD
| | | | - Jason N. Rosenbaum
- Kaiser Permanente Northern California Regional Genetics Laboratory, San Jose, CA
| | | | - Lisa Schlager
- FORCE: Facing Our Risk of Cancer Empowered, Tampa, FL
| | | | | | - Janis M. Taube
- Johns Hopkins Bloomberg-Kimmel Institute for Cancer Immunotherapy, Baltimore, MD
| | - Magdalena Thurin
- National Institutes of Health/National Cancer Institute, Bethesda, MD
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28
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Gindin T, Hsiao SJ. Analytical Principles of Cancer Next Generation Sequencing. Clin Lab Med 2022; 42:395-408. [DOI: 10.1016/j.cll.2022.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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29
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Liquid biopsy and non-small cell lung cancer: are we looking at the tip of the iceberg? Br J Cancer 2022; 127:383-393. [PMID: 35264788 PMCID: PMC9345955 DOI: 10.1038/s41416-022-01777-8] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 02/16/2022] [Accepted: 02/22/2022] [Indexed: 12/15/2022] Open
Abstract
The possibility to analyse the tumour genetic material shed in the blood is undoubtedly one of the main achievements of translational research in the latest years. In the modern clinical management of advanced non-small cell lung cancer, molecular characterisation plays an essential role. In parallel, immunotherapy is widely employed, but reliable predictive markers are not available yet. Liquid biopsy has the potential to face the two issues and to increase its role in advanced NSCLC in the next future. The aim of this review is to summarise the main clinical applications of liquid biopsy in advanced non-small cell lung cancer, underlining both its potential and limitations from a clinically driven perspective.
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30
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Peng R, Lin G, Li L, Li J. Development of a Novel Reference Material for Tumor Mutational Burden Measurement Based on CRISPR/Cas9 Technology. Front Oncol 2022; 12:845636. [PMID: 35574377 PMCID: PMC9098197 DOI: 10.3389/fonc.2022.845636] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 04/08/2022] [Indexed: 12/03/2022] Open
Abstract
As a biomarker that affects treatment decisions of immune checkpoint inhibitors, the accuracy, reliability, and comparability of tumor mutational burden (TMB) estimation is of paramount importance. To improve the consistency and reliability of these tests, qualified reference materials providing ground-truth data are crucial. In this study, we developed a set of formalin-fixed and paraffin-embedded (FFPE) samples with different TMB values as the novel reference materials for TMB estimation. By introducing several clinically relevant variants in MutS Homolog 2 (MSH2) gene and DNA polymerase epsilon (POLE) gene into human cell lines using CRISPR/Cas9 technology, we first constructed four typical cell lines which verified with hypermutator or ultramutator phenotype. Followed by cell mixing and paraffin embedding, the novel FFPE samples were prepared. It was confirmed that our novel FFPE samples have sufficient quantity of cells, high reproducibility, and they can provide matched wild type sample as the genetic background. The double-platform whole exome sequencing validation showed that our FFPE samples were also highly flexible as they containing different TMB values spanning a clinically relevant range (2.0–106.1 mut/Mb). Without limitations on production and TMB values, our novel FFPE samples based on CRISPR/Cas9 editing are suitable as candidate reference materials. From a practical point of view, these samples can be used for the validation, verification, internal quality control, and proficiency testing of TMB assessment.
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Affiliation(s)
- Rongxue Peng
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
| | - Guigao Lin
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
| | - Lin Li
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
| | - Jinming Li
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
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31
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Sung MT, Wang YH, Li CF. Open the Technical Black Box of Tumor Mutational Burden (TMB): Factors Affecting Harmonization and Standardization of Panel-Based TMB. Int J Mol Sci 2022; 23:ijms23095097. [PMID: 35563486 PMCID: PMC9103036 DOI: 10.3390/ijms23095097] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 04/30/2022] [Accepted: 05/02/2022] [Indexed: 01/25/2023] Open
Abstract
As tumor mutational burden (TMB) has been approved as a predictive biomarker for immune checkpoint inhibitors (ICIs), next-generation sequencing (NGS) TMB panels are being increasingly used clinically. However, only a few of them have been validated in clinical trials or authorized by administration. The harmonization and standardization of TMB panels are thus essential for clinical implementation. In this review, preanalytic, sequencing, bioinformatics and interpretative factors are summarized to provide a comprehensive picture of how the different factors affect the estimation of panel-based TMB. Among the factors, poor DNA quality, improper formalin fixation and residual germline variants after filtration may overestimate TMB, while low tumor purity may decrease the sensitivity of the TMB panel. In addition, a small panel size leads to more variability when comparing with true TMB values detected by whole-exome sequencing (WES). A panel covering a genomic region of more than 1Mb is more stable for harmonization and standardization. Because the TMB estimate reflects the sum of effects from multiple factors, deliberation based on laboratory and specimen quality, as well as clinical information, is essential for decision making.
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Affiliation(s)
- Meng-Ta Sung
- Division of Hematology and Oncology, Department of Internal Medicine, MacKay Memorial Hospital, Taipei 104217, Taiwan;
- Division of Hematology and Medical Oncology, Mennonite Christian Hospital, Hualien 970472, Taiwan
| | - Yeh-Han Wang
- Division of Pathology and Medical Informatics, ACT Genomics Co., Ltd., Taipei 114065, Taiwan
- ACT Precision Medicine Clinic, Taipei 114063, Taiwan
- College of Nursing, National Taipei University of Nursing and Health Sciences, Taipei 112303, Taiwan
- Institute of Public Health, National Yang Ming Chao Tung University, Taipei 112304, Taiwan
- Correspondence:
| | - Chien-Feng Li
- Department of Medical Research, Chi Mei Medical Center, Tainan 710402, Taiwan;
- Institute of Precision Medicine, National Sun Yat-Sen University, Kaohsiung 804201, Taiwan
- National Institute of Cancer Research, National Health Research Institutes, Tainan 704016, Taiwan
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Wang D, Zhang Y, li R, Li J, Zhang R. Consistency and reproducibility of large panel next-generation sequencing: Multi-laboratory assessment of somatic mutation detection on reference materials with mismatch repair and proofreading deficiency. J Adv Res 2022; 44:161-172. [PMID: 36725187 PMCID: PMC9937796 DOI: 10.1016/j.jare.2022.03.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 03/16/2022] [Accepted: 03/27/2022] [Indexed: 02/04/2023] Open
Abstract
INTRODUCTION Clinical precision oncology increasingly relies on accurate genome-wide profiling using large panel next generation sequencing; however, difficulties in accurate and consistent detection of somatic mutation from individual platforms and pipelines remain an open question. OBJECTIVES To obtain paired tumor-normal reference materials that can be effectively constructed and interchangeable with clinical samples, and evaluate the performance of 56 panels under routine testing conditions based on the reference samples. METHODS Genes involved in mismatch repair and DNA proofreading were knocked down using the CRISPR-Cas9 technology to accumulate somatic mutations in a defined GM12878 cell line. They were used as reference materials to comprehensively evaluate the reproducibility and accuracy of detection results of oncopanels and explore the potential influencing factors. RESULTS In total, 14 paired tumor-normal reference DNA samples from engineered cell lines were prepared, and a reference dataset comprising 168 somatic mutations in a high-confidence region of 1.8 Mb were generated. For mutations with an allele frequency (AF) of more than 5% in reference samples, 56 panels collectively reported 1306 errors, including 729 false negatives (FNs), 179 false positives (FPs) and 398 reproducibility errors. The performance metric varied among panels with precision and recall ranging from 0.773 to 1 and 0.683 to 1, respectively. Incorrect and inadequate filtering accounted for a large proportion of false discovery (including FNs and FPs), while low-quality detection, cross-contamination and other sequencing errors during the wet bench process were other sources of FNs and FPs. In addition, low AF (<5%) considerably influenced the reproducibility and comparability among panels. CONCLUSIONS This study provided an integrated practice for developing reference standard to assess oncopanels in detecting somatic mutations and quantitatively revealed the source of detection errors. It will promote optimization, validation, and quality control among laboratories with potential applicability in clinical use.
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Affiliation(s)
- Duo Wang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, P. R. China,Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, P. R. China,Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, P. R. China
| | - Yuanfeng Zhang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, P. R. China,Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, P. R. China,Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, P. R. China
| | - Rui li
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, P. R. China,Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, P. R. China,Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, P. R. China
| | - Jinming Li
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, P. R. China; Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, P. R. China; Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, P. R. China.
| | - Rui Zhang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, P. R. China; Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, P. R. China; Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, P. R. China.
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Fatima S, Ma Y, Safrachi A, Haider S, Spring KJ, Vafaee F, Scott KF, Roberts TL, Becker TM, de Souza P. Harnessing Liquid Biopsies to Guide Immune Checkpoint Inhibitor Therapy. Cancers (Basel) 2022; 14:1669. [PMID: 35406441 PMCID: PMC8997025 DOI: 10.3390/cancers14071669] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 03/18/2022] [Accepted: 03/22/2022] [Indexed: 12/24/2022] Open
Abstract
Immunotherapy (IO), involving the use of immune checkpoint inhibition, achieves improved response-rates and significant disease-free survival for some cancer patients. Despite these beneficial effects, there is poor predictability of response and substantial rates of innate or acquired resistance, resulting in heterogeneous responses among patients. In addition, patients can develop life-threatening adverse events, and while these generally occur in patients that also show a tumor response, these outcomes are not always congruent. Therefore, predicting a response to IO is of paramount importance. Traditionally, tumor tissue analysis has been used for this purpose. However, minimally invasive liquid biopsies that monitor changes in blood or other bodily fluid markers are emerging as a promising cost-effective alternative. Traditional biomarkers have limitations mainly due to difficulty in repeatedly obtaining tumor tissue confounded also by the spatial and temporal heterogeneity of tumours. Liquid biopsy has the potential to circumvent tumor heterogeneity and to help identifying patients who may respond to IO, to monitor the treatment dynamically, as well as to unravel the mechanisms of relapse. We present here a review of the current status of molecular markers for the prediction and monitoring of IO response, focusing on the detection of these markers in liquid biopsies. With the emerging improvements in the field of liquid biopsy, this approach has the capacity to identify IO-eligible patients and provide clinically relevant information to assist with their ongoing disease management.
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Affiliation(s)
- Shadma Fatima
- Department of Medical Oncology, Ingham Institute of Applied Medical Research, Liverpool, NSW 2170, Australia; (Y.M.); (S.H.); (K.J.S.); (K.F.S.); (T.L.R.); (T.M.B.); (P.d.S.)
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2031, Australia; (A.S.); (F.V.)
- School of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia
| | - Yafeng Ma
- Department of Medical Oncology, Ingham Institute of Applied Medical Research, Liverpool, NSW 2170, Australia; (Y.M.); (S.H.); (K.J.S.); (K.F.S.); (T.L.R.); (T.M.B.); (P.d.S.)
- South Western Sydney Clinical School, UNSW, Sydney, NSW 2031, Australia
- Centre for Circulating Tumor Cell Diagnosis and Research, Ingham Institute for Applied Medical Research, Liverpool, NSW 2170, Australia
| | - Azadeh Safrachi
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2031, Australia; (A.S.); (F.V.)
| | - Sana Haider
- Department of Medical Oncology, Ingham Institute of Applied Medical Research, Liverpool, NSW 2170, Australia; (Y.M.); (S.H.); (K.J.S.); (K.F.S.); (T.L.R.); (T.M.B.); (P.d.S.)
- School of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia
| | - Kevin J. Spring
- Department of Medical Oncology, Ingham Institute of Applied Medical Research, Liverpool, NSW 2170, Australia; (Y.M.); (S.H.); (K.J.S.); (K.F.S.); (T.L.R.); (T.M.B.); (P.d.S.)
- School of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia
| | - Fatemeh Vafaee
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2031, Australia; (A.S.); (F.V.)
- UNSW Data Science Hub, University of New South Wales, Sydney, NSW 2031, Australia
| | - Kieran F. Scott
- Department of Medical Oncology, Ingham Institute of Applied Medical Research, Liverpool, NSW 2170, Australia; (Y.M.); (S.H.); (K.J.S.); (K.F.S.); (T.L.R.); (T.M.B.); (P.d.S.)
- School of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia
| | - Tara L. Roberts
- Department of Medical Oncology, Ingham Institute of Applied Medical Research, Liverpool, NSW 2170, Australia; (Y.M.); (S.H.); (K.J.S.); (K.F.S.); (T.L.R.); (T.M.B.); (P.d.S.)
- School of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia
- South Western Sydney Clinical School, UNSW, Sydney, NSW 2031, Australia
| | - Therese M. Becker
- Department of Medical Oncology, Ingham Institute of Applied Medical Research, Liverpool, NSW 2170, Australia; (Y.M.); (S.H.); (K.J.S.); (K.F.S.); (T.L.R.); (T.M.B.); (P.d.S.)
- School of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia
- South Western Sydney Clinical School, UNSW, Sydney, NSW 2031, Australia
- Centre for Circulating Tumor Cell Diagnosis and Research, Ingham Institute for Applied Medical Research, Liverpool, NSW 2170, Australia
| | - Paul de Souza
- Department of Medical Oncology, Ingham Institute of Applied Medical Research, Liverpool, NSW 2170, Australia; (Y.M.); (S.H.); (K.J.S.); (K.F.S.); (T.L.R.); (T.M.B.); (P.d.S.)
- School of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia
- South Western Sydney Clinical School, UNSW, Sydney, NSW 2031, Australia
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Wessolly M, Stephan-Falkenau S, Streubel A, Wiesweg M, Borchert S, Mairinger E, Kollmeier J, Reis H, Bauer T, Schmid KW, Mairinger T, Schuler M, Mairinger FD. Digital gene expression analysis of NSCLC-patients reveals strong immune pressure, resulting in an immune escape under immunotherapy. BMC Cancer 2022; 22:46. [PMID: 34996407 PMCID: PMC8740040 DOI: 10.1186/s12885-021-09111-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 12/14/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Immune checkpoint inhibitors (ICIs) are currently one of the most promising therapy options in the field of oncology. Although the first pivotal ICI trial results were published in 2011, few biomarkers exist to predict their therapy outcome. PD-L1 expression and tumor mutational burden (TMB) were proven to be sometimes-unreliable biomarkers. We have previously suggested the analysis of processing escapes, a qualitative measurement of epitope structure alterations under immune system pressure, to provide predictive information on ICI response. Here, we sought to further validate this approach and characterize interactions with different forms of immune pressure. METHODS We identified a cohort consisting of 48 patients with advanced non-small cell lung cancer (NSCLC) treated with nivolumab as ICI monotherapy. Tumor samples were subjected to targeted amplicon-based sequencing using a panel of 22 cancer-associated genes covering 98 mutational hotspots. Altered antigen processing was predicted by NetChop, and MHC binding verified by NetMHC. The NanoString nCounter® platform was utilized to provide gene expression data of 770 immune-related genes. Patient data from 408 patients with NSCLC were retrieved from The Cancer Genome Atlas (TCGA) as a validation cohort. RESULTS The two immune escape mechanisms of PD-L1 expression (TPS score) (n = 18) and presence of altered antigen processing (n = 10) are mutually non-exclusive and can occur in the same patient (n = 6). Both mechanisms have exclusive influence on different genes and pathways, according to differential gene expression analysis and gene set enrichment analysis, respectively. Interestingly, gene expression patterns associated with altered processing were enriched in T cell and NK cell immune activity. Though both mechanisms influence different genes, they are similarly linked to increased immune activity. CONCLUSION Pressure from the immune system will lay the foundations for escape mechanisms, leading to acquisition of resistance under therapy. Both PD-L1 expression and altered antigen processing are induced similarly by pronounced immunoactivity but in different context. The present data help to deepen our understanding of the underlying mechanisms behind those immune escapes.
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Affiliation(s)
- Michael Wessolly
- Institute of Pathology, University Hospital Essen, University of Duisburg-Essen, Hufelandstrasse 55, 45147, Essen, Germany.
- German Cancer Consortium (DKTK), Partner Site University Hospital Essen, Hufelandstrasse 55, 45147, Essen, Germany.
| | | | - Anna Streubel
- Department of Tissue Diagnostics, Helios Klinikum Emil von Behring, Berlin, Germany
| | - Marcel Wiesweg
- Department of Medical Oncology, West German Cancer Center, University Hospital Essen, Hufelandstrasse 55, 45147, Essen, Germany
| | - Sabrina Borchert
- Institute of Pathology, University Hospital Essen, University of Duisburg-Essen, Hufelandstrasse 55, 45147, Essen, Germany
- German Cancer Consortium (DKTK), Partner Site University Hospital Essen, Hufelandstrasse 55, 45147, Essen, Germany
| | - Elena Mairinger
- Institute of Pathology, University Hospital Essen, University of Duisburg-Essen, Hufelandstrasse 55, 45147, Essen, Germany
| | - Jens Kollmeier
- Lungenklinik Heckeshorn, Helios Klinikum Emil von Behring, Berlin, Germany
| | - Henning Reis
- Institute of Pathology, University Hospital Essen, University of Duisburg-Essen, Hufelandstrasse 55, 45147, Essen, Germany
- Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt, Germany
| | - Torsten Bauer
- Lungenklinik Heckeshorn, Helios Klinikum Emil von Behring, Berlin, Germany
| | - Kurt Werner Schmid
- Institute of Pathology, University Hospital Essen, University of Duisburg-Essen, Hufelandstrasse 55, 45147, Essen, Germany
| | - Thomas Mairinger
- Department of Tissue Diagnostics, Helios Klinikum Emil von Behring, Berlin, Germany
| | - Martin Schuler
- German Cancer Consortium (DKTK), Partner Site University Hospital Essen, Hufelandstrasse 55, 45147, Essen, Germany
- Department of Medical Oncology, West German Cancer Center, University Hospital Essen, Hufelandstrasse 55, 45147, Essen, Germany
| | - Fabian D Mairinger
- Institute of Pathology, University Hospital Essen, University of Duisburg-Essen, Hufelandstrasse 55, 45147, Essen, Germany
- German Cancer Consortium (DKTK), Partner Site University Hospital Essen, Hufelandstrasse 55, 45147, Essen, Germany
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35
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Sholl LM. Biomarkers of response to checkpoint inhibitors beyond PD-L1 in lung cancer. Mod Pathol 2022; 35:66-74. [PMID: 34608245 DOI: 10.1038/s41379-021-00932-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 08/23/2021] [Accepted: 09/07/2021] [Indexed: 12/23/2022]
Abstract
Immunotherapy, including use of checkpoint inhibitors against PD-1, PD-L1, and CTLA-4, forms the backbone of oncologic management for the majority of non-small cell lung carcinoma patients. However, response to these therapies varies widely, from patients who have complete resolution of metastatic disease and long-term remission, to those who rapidly progress and succumb to their cancer despite use of the newest checkpoint inhibitors. While PD-L1 protein expression by immunohistochemistry serves as the principle predictive biomarker for immunotherapy response, neither the sensitivity nor the specificity of this approach is optimal, and clinical PD-L1 testing is plagued by concerns around result reproducibility and confusion born from the proliferation of different companion diagnostic assays. At the same time, insights into tumor and host immune-specific factors that inform both prognosis and response prediction are beginning to define better immunotherapy biomarkers. Beyond immune checkpoint expression status, common themes in analyses of immunotherapy response prediction include cancer neoantigen production, the state of the antigen presentation pathway in both tumor and antigen presenting cells, the admixture of effector and suppressor immune cells in the tumor microenvironment, and the genomic drivers and comutations that can influence the all of these variables. This review will address the state of PD-L1 testing in lung cancer, the role for tumor mutation burden as a predictive biomarker, the evolving status of human leukocyte antigen/major histocompatibility complex expression as a marker of antigen presentation, approaches to tumor immune cell quantitation including by multiplex immunofluorescence, and the importance of tumor genomic profiling to ascertain oncogenic driver (EGFR, ALK, KRAS, MET, etc.) and co-mutation (STK11, KEAP1, SMARCA4) status.
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Affiliation(s)
- Lynette M Sholl
- Department of Pathology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
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36
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Vega DM, Yee LM, McShane LM, Williams PM, Chen L, Vilimas T, Fabrizio D, Funari V, Newberg J, Bruce LK, Chen SJ, Baden J, Carl Barrett J, Beer P, Butler M, Cheng JH, Conroy J, Cyanam D, Eyring K, Garcia E, Green G, Gregersen VR, Hellmann MD, Keefer LA, Lasiter L, Lazar AJ, Li MC, MacConaill LE, Meier K, Mellert H, Pabla S, Pallavajjalla A, Pestano G, Salgado R, Samara R, Sokol ES, Stafford P, Budczies J, Stenzinger A, Tom W, Valkenburg KC, Wang XZ, Weigman V, Xie M, Xie Q, Zehir A, Zhao C, Zhao Y, Stewart MD, Allen J. Aligning tumor mutational burden (TMB) quantification across diagnostic platforms: phase II of the Friends of Cancer Research TMB Harmonization Project. Ann Oncol 2021; 32:1626-1636. [PMID: 34606929 DOI: 10.1016/j.annonc.2021.09.016] [Citation(s) in RCA: 72] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 09/21/2021] [Accepted: 09/26/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Tumor mutational burden (TMB) measurements aid in identifying patients who are likely to benefit from immunotherapy; however, there is empirical variability across panel assays and factors contributing to this variability have not been comprehensively investigated. Identifying sources of variability can help facilitate comparability across different panel assays, which may aid in broader adoption of panel assays and development of clinical applications. MATERIALS AND METHODS Twenty-nine tumor samples and 10 human-derived cell lines were processed and distributed to 16 laboratories; each used their own bioinformatics pipelines to calculate TMB and compare to whole exome results. Additionally, theoretical positive percent agreement (PPA) and negative percent agreement (NPA) of TMB were estimated. The impact of filtering pathogenic and germline variants on TMB estimates was assessed. Calibration curves specific to each panel assay were developed to facilitate translation of panel TMB values to whole exome sequencing (WES) TMB values. RESULTS Panel sizes >667 Kb are necessary to maintain adequate PPA and NPA for calling TMB high versus TMB low across the range of cut-offs used in practice. Failure to filter out pathogenic variants when estimating panel TMB resulted in overestimating TMB relative to WES for all assays. Filtering out potential germline variants at >0% population minor allele frequency resulted in the strongest correlation to WES TMB. Application of a calibration approach derived from The Cancer Genome Atlas data, tailored to each panel assay, reduced the spread of panel TMB values around the WES TMB as reflected in lower root mean squared error (RMSE) for 26/29 (90%) of the clinical samples. CONCLUSIONS Estimation of TMB varies across different panels, with panel size, gene content, and bioinformatics pipelines contributing to empirical variability. Statistical calibration can achieve more consistent results across panels and allows for comparison of TMB values across various panel assays. To promote reproducibility and comparability across assays, a software tool was developed and made publicly available.
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Affiliation(s)
- D M Vega
- Friends of Cancer Research, Washington, USA
| | - L M Yee
- National Cancer Institute, Bethesda, USA
| | | | - P M Williams
- Molecular Characterization Laboratory, Frederick National Lab for Cancer Research, Leidos Biomedical Research Inc., Frederick, USA
| | - L Chen
- Molecular Characterization Laboratory, Frederick National Lab for Cancer Research, Leidos Biomedical Research Inc., Frederick, USA
| | - T Vilimas
- Molecular Characterization Laboratory, Frederick National Lab for Cancer Research, Leidos Biomedical Research Inc., Frederick, USA
| | - D Fabrizio
- Foundation Medicine Inc., Cambridge, USA
| | - V Funari
- NeoGenomics Laboratories, Aliso Viejo, USA
| | - J Newberg
- Foundation Medicine Inc., Cambridge, USA
| | - L K Bruce
- NeoGenomics Laboratories, Aliso Viejo, USA
| | | | - J Baden
- Bristol Myers Squibb Co., Princeton, USA
| | | | - P Beer
- European Organisation for Research and Treatment of Cancer, Brussels, Belgium
| | - M Butler
- LGC Clinical Diagnostics, Gaithersburg, USA
| | | | | | - D Cyanam
- Clinical Sequencing Division, Thermo Fisher Scientific, Ann Arbor, USA
| | - K Eyring
- Intermountain Precision Genomics, St. George, USA
| | - E Garcia
- Brigham and Women's Hospital, Boston, USA
| | - G Green
- Bristol Myers Squibb Co., Princeton, USA
| | | | - M D Hellmann
- Memorial Sloan Kettering Cancer Center, New York, USA
| | - L A Keefer
- Personal Genome Diagnostics, Baltimore, USA
| | - L Lasiter
- Friends of Cancer Research, Washington, USA
| | - A J Lazar
- The University of Texas MD Anderson Cancer Center, Houston, USA
| | - M-C Li
- National Cancer Institute, Bethesda, USA
| | | | - K Meier
- Illumina Inc, Clinical Genomics, San Diego, USA
| | | | | | | | | | - R Salgado
- European Organisation for Research and Treatment of Cancer, Brussels, Belgium
| | | | - E S Sokol
- Foundation Medicine Inc., Cambridge, USA
| | | | - J Budczies
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - A Stenzinger
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - W Tom
- Clinical Sequencing Division, Thermo Fisher Scientific, Ann Arbor, USA
| | | | - X Z Wang
- EMD Serono Research and Development Institute, Inc., Billerica, USA
| | | | - M Xie
- AstraZeneca Pharmaceuticals LP, Waltham, USA
| | - Q Xie
- General Dynamics Information Technology, Inc., Columbia, USA
| | - A Zehir
- Memorial Sloan Kettering Cancer Center, New York, USA
| | - C Zhao
- Illumina Inc, Clinical Genomics, San Diego, USA
| | - Y Zhao
- National Cancer Institute, Bethesda, USA
| | - M D Stewart
- Friends of Cancer Research, Washington, USA.
| | - J Allen
- Friends of Cancer Research, Washington, USA
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Merino DM, McShane LM, Fabrizio D, Funari V, Chen SJ, White JR, Wenz P, Baden J, Barrett JC, Chaudhary R, Chen L, Chen WS, Cheng JH, Cyanam D, Dickey JS, Gupta V, Hellmann M, Helman E, Li Y, Maas J, Papin A, Patidar R, Quinn KJ, Rizvi N, Tae H, Ward C, Xie M, Zehir A, Zhao C, Dietel M, Stenzinger A, Stewart M, Allen J. Establishing guidelines to harmonize tumor mutational burden (TMB): in silico assessment of variation in TMB quantification across diagnostic platforms: phase I of the Friends of Cancer Research TMB Harmonization Project. J Immunother Cancer 2021; 8:jitc-2019-000147. [PMID: 32217756 PMCID: PMC7174078 DOI: 10.1136/jitc-2019-000147] [Citation(s) in RCA: 288] [Impact Index Per Article: 96.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/11/2020] [Indexed: 12/13/2022] Open
Abstract
Background Tumor mutational burden (TMB), defined as the number of somatic mutations per megabase of interrogated genomic sequence, demonstrates predictive biomarker potential for the identification of patients with cancer most likely to respond to immune checkpoint inhibitors. TMB is optimally calculated by whole exome sequencing (WES), but next-generation sequencing targeted panels provide TMB estimates in a time-effective and cost-effective manner. However, differences in panel size and gene coverage, in addition to the underlying bioinformatics pipelines, are known drivers of variability in TMB estimates across laboratories. By directly comparing panel-based TMB estimates from participating laboratories, this study aims to characterize the theoretical variability of panel-based TMB estimates, and provides guidelines on TMB reporting, analytic validation requirements and reference standard alignment in order to maintain consistency of TMB estimation across platforms. Methods Eleven laboratories used WES data from The Cancer Genome Atlas Multi-Center Mutation calling in Multiple Cancers (MC3) samples and calculated TMB from the subset of the exome restricted to the genes covered by their targeted panel using their own bioinformatics pipeline (panel TMB). A reference TMB value was calculated from the entire exome using a uniform bioinformatics pipeline all members agreed on (WES TMB). Linear regression analyses were performed to investigate the relationship between WES and panel TMB for all 32 cancer types combined and separately. Variability in panel TMB values at various WES TMB values was also quantified using 95% prediction limits. Results Study results demonstrated that variability within and between panel TMB values increases as the WES TMB values increase. For each panel, prediction limits based on linear regression analyses that modeled panel TMB as a function of WES TMB were calculated and found to approximately capture the intended 95% of observed panel TMB values. Certain cancer types, such as uterine, bladder and colon cancers exhibited greater variability in panel TMB values, compared with lung and head and neck cancers. Conclusions Increasing uptake of TMB as a predictive biomarker in the clinic creates an urgent need to bring stakeholders together to agree on the harmonization of key aspects of panel-based TMB estimation, such as the standardization of TMB reporting, standardization of analytical validation studies and the alignment of panel-based TMB values with a reference standard. These harmonization efforts should improve consistency and reliability of panel TMB estimates and aid in clinical decision-making.
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Affiliation(s)
| | | | | | | | | | | | - Paul Wenz
- Clinical Genomics, Illumina Inc, San Diego, California, USA
| | | | - J Carl Barrett
- Translational Medicine, Oncology Research and Early Development, AstraZeneca Pharmaceuticals LP, Boston, Massachusetts, USA
| | - Ruchi Chaudhary
- Clinical Sequencing Division, Thermo Fisher Scientific, Ann Arbor, Michigan, USA
| | - Li Chen
- Molecular Characterization Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA
| | | | | | - Dinesh Cyanam
- Clinical Sequencing Division, Thermo Fisher Scientific, Ann Arbor, Michigan, USA
| | | | | | | | - Elena Helman
- Bioinformatics, Guardant Health Inc, Redwood City, California, USA
| | - Yali Li
- Foundation Medicine Inc, Cambridge, Massachusetts, USA
| | - Joerg Maas
- Quality in Pathology (QuIP), Berlin, Germany
| | | | - Rajesh Patidar
- Molecular Characterization Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA
| | - Katie J Quinn
- Bioinformatics, Guardant Health Inc, Redwood City, California, USA
| | - Naiyer Rizvi
- Division of Hematology/Oncology, Department of Medicine, Columbia University, New York, New York, USA
| | | | | | - Mingchao Xie
- AstraZeneca Pharmaceuticals LP, Waltham, Massachusetts, USA
| | - Ahmet Zehir
- Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Chen Zhao
- Clinical Genomics, Illumina Inc, San Diego, California, USA
| | | | - Albrecht Stenzinger
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Baden-Württemberg, Germany
| | | | - Jeff Allen
- Friends of Cancer Research, Washington, DC, USA
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38
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Horak P, Leichsenring J, Goldschmid H, Kreutzfeldt S, Kazdal D, Teleanu V, Endris V, Gieldon L, Allgäuer M, Volckmar AL, Dikow N, Renner M, Kirchner M, Penzel R, Ploeger C, Brandt R, Seker-Cin H, Budczies J, Heilig CE, Neumann O, Schaaf CP, Schirmacher P, Fröhling S, Stenzinger A. Assigning evidence to actionability: An introduction to variant interpretation in precision cancer medicine. Genes Chromosomes Cancer 2021; 61:303-313. [PMID: 34331337 DOI: 10.1002/gcc.22987] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Accepted: 07/25/2021] [Indexed: 12/15/2022] Open
Abstract
Modern concepts in precision cancer medicine are based on increasingly complex genomic analyses and require standardized criteria for the functional evaluation and reporting of detected genomic alterations in order to assess their clinical relevance. In this article, we propose and address the necessary steps in systematic variant evaluation consisting of bioinformatic analysis, functional annotation and clinical interpretation, focusing on the latter two aspects. We discuss the role and clinical application of current variant classification systems and point out their scope and limitations. Finally, we highlight the significance of the molecular tumor board as a platform for clinical decision-making based on genomic analyses.
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Affiliation(s)
- Peter Horak
- Department of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany.,German Cancer Consortium (DKTK), Core Center Heidelberg, Heidelberg, Germany.,Center for Personalized Medicine (ZPM), Heidelberg, Germany
| | - Jonas Leichsenring
- Institut für Pathologie, Zytologie und molekulare Diagnostik, Regiomed Klinikum Coburg, Coburg, Germany.,Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Hannah Goldschmid
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Simon Kreutzfeldt
- Department of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany.,German Cancer Consortium (DKTK), Core Center Heidelberg, Heidelberg, Germany
| | - Daniel Kazdal
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany.,German Center for Lung Research (DZL), Translational Lung Research Center Heidelberg (TLRC-H), Heidelberg, Germany
| | - Veronica Teleanu
- Department of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany.,German Cancer Consortium (DKTK), Core Center Heidelberg, Heidelberg, Germany.,Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Volker Endris
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Laura Gieldon
- Institute of Human Genetics, Heidelberg University, Heidelberg, Germany
| | - Michael Allgäuer
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Anna-Lena Volckmar
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Nicola Dikow
- Institute of Human Genetics, Heidelberg University, Heidelberg, Germany
| | - Marcus Renner
- Department of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany.,German Cancer Consortium (DKTK), Core Center Heidelberg, Heidelberg, Germany
| | - Martina Kirchner
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Roland Penzel
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Carolin Ploeger
- Center for Personalized Medicine (ZPM), Heidelberg, Germany.,Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Regine Brandt
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Huriye Seker-Cin
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Jan Budczies
- German Cancer Consortium (DKTK), Core Center Heidelberg, Heidelberg, Germany.,Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany.,German Center for Lung Research (DZL), Translational Lung Research Center Heidelberg (TLRC-H), Heidelberg, Germany
| | - Christoph E Heilig
- Department of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany.,German Cancer Consortium (DKTK), Core Center Heidelberg, Heidelberg, Germany
| | - Olaf Neumann
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | | | - Peter Schirmacher
- German Cancer Consortium (DKTK), Core Center Heidelberg, Heidelberg, Germany.,Center for Personalized Medicine (ZPM), Heidelberg, Germany.,Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Stefan Fröhling
- Department of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany.,German Cancer Consortium (DKTK), Core Center Heidelberg, Heidelberg, Germany.,Center for Personalized Medicine (ZPM), Heidelberg, Germany
| | - Albrecht Stenzinger
- German Cancer Consortium (DKTK), Core Center Heidelberg, Heidelberg, Germany.,Center for Personalized Medicine (ZPM), Heidelberg, Germany.,Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany.,German Center for Lung Research (DZL), Translational Lung Research Center Heidelberg (TLRC-H), Heidelberg, Germany
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39
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Tang X, Qian WL, Yan WF, Pang T, Gong YL, Yang ZG. Radiomic assessment as a method for predicting tumor mutation burden (TMB) of bladder cancer patients: a feasibility study. BMC Cancer 2021; 21:823. [PMID: 34271855 PMCID: PMC8285848 DOI: 10.1186/s12885-021-08569-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 07/07/2021] [Indexed: 02/08/2023] Open
Abstract
Background Tumor mutation burden (TMB) is an emerging prognostic biomarker of immunotherapy for bladder cancer (BLCA). We aim at investigating radiomic features’ value in predicting the TMB status of BLCA patients. Methods Totally, 75 patients with BLCA were enrolled. Radiomic features extracted from the volume of interest of preoperative pelvic contrast-enhanced computed tomography (CECT) were obtained for each case. Unsupervised hierarchical clustering analysis was performed based on radiomic features. Sequential univariate Logistic regression, the least absolute shrinkage and selection operator (LASSO) regression and the backward stepwise regression were used to develop a TMB-predicting model using radiomic features. Results The unsupervised clustering analysis divided the total cohort into two groups, i.e., group A (32.0%) and B (68.0%). Patients in group A had a significantly larger proportion of having high TMB against those in group B (66.7% vs. 41.2%, p = 0.039), indicating the intrinsic ability of radiomic features in TMB-predicting. In univariate analysis, 27 radiomic features could predict TMB. Based on six radiomic features selected by logistic and LASSO regression, a TMB-predicting model was built and visualized by nomogram. The area under the ROC curve of the model reached 0.853. Besides, the calibration curve and the decision curve also revealed the good performance of the model. Conclusions Our work firstly proved the feasibility of using radiomics to predict TMB for patients with BLCA. The predictive model based on radiomic features from pelvic CECT has a promising ability to predict TMB. Future study with a larger cohort is needed to verify our findings. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-021-08569-y.
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Affiliation(s)
- Xin Tang
- Department of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, 610041, Sichuan, China
| | - Wen-Lei Qian
- Department of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, 610041, Sichuan, China
| | - Wei-Feng Yan
- Department of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, 610041, Sichuan, China
| | - Tong Pang
- Department of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, 610041, Sichuan, China
| | - You-Ling Gong
- Department of Thoracic Oncology and State Key Laboratory of Biotherapy, Cancer Center, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, 610041, Sichuan, China.
| | - Zhi-Gang Yang
- Department of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, 610041, Sichuan, China.
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40
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Dameri M, Ferrando L, Cirmena G, Vernieri C, Pruneri G, Ballestrero A, Zoppoli G. Multi-Gene Testing Overview with a Clinical Perspective in Metastatic Triple-Negative Breast Cancer. Int J Mol Sci 2021; 22:7154. [PMID: 34281208 PMCID: PMC8268401 DOI: 10.3390/ijms22137154] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 06/28/2021] [Accepted: 06/29/2021] [Indexed: 12/12/2022] Open
Abstract
Next-generation sequencing (NGS) is the technology of choice for the routine screening of tumor samples in clinical practice. In this setting, the targeted sequencing of a restricted number of clinically relevant genes represents the most practical option when looking for genetic variants associated with cancer, as well as for the choice of targeted treatments. In this review, we analyze available NGS platforms and clinical applications of multi-gene testing in breast cancer, with a focus on metastatic triple-negative breast cancer (mTNBC). We make an overview of the clinical utility of multi-gene testing in mTNBC, and then, as immunotherapy is emerging as a possible targeted therapy for mTNBC, we also briefly report on the results of the latest clinical trials involving immune checkpoint inhibitors (ICIs) and TNBC, where NGS could play a role for the potential predictive utility of homologous recombination repair deficiency (HRD) and tumor mutational burden (TMB).
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Affiliation(s)
- Martina Dameri
- Department of Internal Medicine, University of Genoa, 16132 Genoa, Italy; (M.D.); (L.F.); (G.C.); (A.B.)
| | - Lorenzo Ferrando
- Department of Internal Medicine, University of Genoa, 16132 Genoa, Italy; (M.D.); (L.F.); (G.C.); (A.B.)
| | - Gabriella Cirmena
- Department of Internal Medicine, University of Genoa, 16132 Genoa, Italy; (M.D.); (L.F.); (G.C.); (A.B.)
| | - Claudio Vernieri
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy;
- IFOM, The FIRC Institute of Molecular Oncology, 20139 Milan, Italy
| | - Giancarlo Pruneri
- Department of Pathology, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy;
- School of Medicine, University of Milan, 20122 Milan, Italy
| | - Alberto Ballestrero
- Department of Internal Medicine, University of Genoa, 16132 Genoa, Italy; (M.D.); (L.F.); (G.C.); (A.B.)
- IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
| | - Gabriele Zoppoli
- Department of Internal Medicine, University of Genoa, 16132 Genoa, Italy; (M.D.); (L.F.); (G.C.); (A.B.)
- IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
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41
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Lehmann U, Jung A. [Next generation sequencing in histopathology : Applications and methodological challenges]. DER PATHOLOGE 2021; 42:363-368. [PMID: 34170385 DOI: 10.1007/s00292-021-00953-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/04/2021] [Indexed: 10/21/2022]
Abstract
The enormous increase in sequencing capacity due to the development of next generation sequencing technologies opens up new opportunities in the fields of histopathology, research, and diagnostics, but also poses huge challenges.The identification of genomic aberrations (point mutations, small insertions and deletions, fusion transcripts, and tumor mutation burden (TMB)) have already become a reliable part of routine molecular diagnostics. This will be supplemented by additional applications, namely gene amplifications, microsatellite instability, genomic signatures like homologous recombination deficiency (HRD), mRNA expression patterns, B‑ and T‑cell clonality, and DNA methylation. Challenges in preanalytics and the evaluation of assay sensitivity and specificity as well as proper curation of identified aberrations, which requires a new type of specialist, are presented and discussed.
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Affiliation(s)
- Ulrich Lehmann
- Institut für Pathologie, Medizinische Hochschule Hannover, Carl-Neuberg-Str. 1, 30625, Hannover, Deutschland.
| | - Andreas Jung
- Pathologisches Institut, Medizinische Fakultät, LMU München, Thalkirchner Str. 36, 80337, München, Deutschland
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42
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Wang Y, Tong Z, Zhang W, Zhang W, Buzdin A, Mu X, Yan Q, Zhao X, Chang HH, Duhon M, Zhou X, Zhao G, Chen H, Li X. FDA-Approved and Emerging Next Generation Predictive Biomarkers for Immune Checkpoint Inhibitors in Cancer Patients. Front Oncol 2021; 11:683419. [PMID: 34164344 PMCID: PMC8216110 DOI: 10.3389/fonc.2021.683419] [Citation(s) in RCA: 75] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 05/17/2021] [Indexed: 12/14/2022] Open
Abstract
A patient's response to immune checkpoint inhibitors (ICIs) is a complex quantitative trait, and determined by multiple intrinsic and extrinsic factors. Three currently FDA-approved predictive biomarkers (progra1mmed cell death ligand-1 (PD-L1); microsatellite instability (MSI); tumor mutational burden (TMB)) are routinely used for patient selection for ICI response in clinical practice. Although clinical utility of these biomarkers has been demonstrated in ample clinical trials, many variables involved in using these biomarkers have poised serious challenges in daily practice. Furthermore, the predicted responders by these three biomarkers only have a small percentage of overlap, suggesting that each biomarker captures different contributing factors to ICI response. Optimized use of currently FDA-approved biomarkers and development of a new generation of predictive biomarkers are urgently needed. In this review, we will first discuss three widely used FDA-approved predictive biomarkers and their optimal use. Secondly, we will review four novel gene signature biomarkers: T-cell inflamed gene expression profile (GEP), T-cell dysfunction and exclusion gene signature (TIDE), melanocytic plasticity signature (MPS) and B-cell focused gene signature. The GEP and TIDE have shown better predictive performance than PD-L1, and PD-L1 or TMB, respectively. The MPS is superior to PD-L1, TMB, and TIDE. The B-cell focused gene signature represents a previously unexplored predictive biomarker to ICI response. Thirdly, we will highlight two combined predictive biomarkers: TMB+GEP and MPS+TIDE. These integrated biomarkers showed improved predictive outcomes compared to a single predictor. Finally, we will present a potential nucleic acid biomarker signature, allowing DNA and RNA biomarkers to be analyzed in one assay. This comprehensive signature could represent a future direction of developing robust predictive biomarkers, particularly for the cold tumors, for ICI response.
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Affiliation(s)
- Ye Wang
- Clinical Laboratory, Qingdao Central Hospital, The Second Affiliated Hospital of Medical College of Qingdao University, Qingdao, China
| | - Zhuang Tong
- Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University, Shenyang, China
| | - Wenhua Zhang
- Clinical Laboratory, Qingdao Central Hospital, The Second Affiliated Hospital of Medical College of Qingdao University, Qingdao, China
| | - Weizhen Zhang
- Department of Biology, University of California – Santa Cruz, Santa Cruz, CA, United States
| | - Anton Buzdin
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia
- Department of Biological and Medical Physics, Moscow Institute of Physics and Technology, Moscow, Russia
- World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University, Moscow, Russia
| | - Xiaofeng Mu
- Clinical Laboratory, Qingdao Central Hospital, The Second Affiliated Hospital of Medical College of Qingdao University, Qingdao, China
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Qing Yan
- Clinical Laboratory, Qingdao Central Hospital, The Second Affiliated Hospital of Medical College of Qingdao University, Qingdao, China
| | - Xiaowen Zhao
- Clinical Laboratory, Qingdao Central Hospital, The Second Affiliated Hospital of Medical College of Qingdao University, Qingdao, China
| | - Hui-Hua Chang
- Department of Pathology & Laboratory Medicine, University of California, Los Angeles (UCLA) Technology Center for Genomics & Bioinformatics, Los Angeles, CA, United States
| | - Mark Duhon
- Department of Pathology & Laboratory Medicine, University of California, Los Angeles (UCLA) Technology Center for Genomics & Bioinformatics, Los Angeles, CA, United States
| | - Xin Zhou
- Department of Medicine, Qiqihaer First Hospital, Qiqihar, China
| | - Gexin Zhao
- Department of Pathology & Laboratory Medicine, University of California, Los Angeles (UCLA) Technology Center for Genomics & Bioinformatics, Los Angeles, CA, United States
| | - Hong Chen
- Department of Medicine, Qiqihaer First Hospital, Qiqihar, China
| | - Xinmin Li
- Department of Pathology & Laboratory Medicine, University of California, Los Angeles (UCLA) Technology Center for Genomics & Bioinformatics, Los Angeles, CA, United States
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Ramos-Paradas J, Hernández-Prieto S, Lora D, Sanchez E, Rosado A, Caniego-Casas T, Carrizo N, Enguita AB, Muñoz-Jimenez MT, Rodriguez B, Perez-Gonzalez U, Gómez-Sánchez D, Ferrer I, Ponce Aix S, Nuñez Buiza Á, Garrido P, Palacios J, Lopez-Rios F, Garrido-Martin EM, Paz-Ares L. Tumor mutational burden assessment in non-small-cell lung cancer samples: results from the TMB 2 harmonization project comparing three NGS panels. J Immunother Cancer 2021; 9:jitc-2020-001904. [PMID: 33963008 PMCID: PMC8108670 DOI: 10.1136/jitc-2020-001904] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/26/2021] [Indexed: 12/24/2022] Open
Abstract
Background Tumor mutational burden (TMB) is a recently proposed predictive biomarker for immunotherapy in solid tumors, including non-small cell lung cancer (NSCLC). Available assays for TMB determination differ in horizontal coverage, gene content and algorithms, leading to discrepancies in results, impacting patient selection. A harmonization study of TMB assessment with available assays in a cohort of patients with NSCLC is urgently needed. Methods We evaluated the TMB assessment obtained with two marketed next generation sequencing panels: TruSight Oncology 500 (TSO500) and Oncomine Tumor Mutation Load (OTML) versus a reference assay (Foundation One, FO) in 96 NSCLC samples. Additionally, we studied the level of agreement among the three methods with respect to PD-L1 expression in tumors, checked the level of different immune infiltrates versus TMB, and performed an inter-laboratory reproducibility study. Finally, adjusted cut-off values were determined. Results Both panels showed strong agreement with FO, with concordance correlation coefficients (CCC) of 0.933 (95% CI 0.908 to 0.959) for TSO500 and 0.881 (95% CI 0.840 to 0.922) for OTML. The corresponding CCCs were 0.951 (TSO500-FO) and 0.919 (OTML-FO) in tumors with <1% of cells expressing PD-L1 (PD-L1<1%; N=55), and 0.861 (TSO500-FO) and 0.722 (OTML-FO) in tumors with PD-L1≥1% (N=41). Inter-laboratory reproducibility analyses showed higher reproducibility with TSO500. No significant differences were found in terms of immune infiltration versus TMB. Adjusted cut-off values corresponding to 10 muts/Mb with FO needed to be lowered to 7.847 muts/Mb (TSO500) and 8.380 muts/Mb (OTML) to ensure a sensitivity >88%. With these cut-offs, the positive predictive value was 78.57% (95% CI 67.82 to 89.32) and the negative predictive value was 87.50% (95% CI 77.25 to 97.75) for TSO500, while for OTML they were 73.33% (95% CI 62.14 to 84.52) and 86.11% (95% CI 74.81 to 97.41), respectively. Conclusions Both panels exhibited robust analytical performances for TMB assessment, with stronger concordances in patients with negative PD-L1 expression. TSO500 showed a higher inter-laboratory reproducibility. The cut-offs for each assay were lowered to optimal overlap with FO.
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Affiliation(s)
- Javier Ramos-Paradas
- H12O-CNIO Lung Cancer Clinical Research Unit, Health Research Institute Hospital 12 de Octubre (imas12) / Spanish National Cancer Research Center (CNIO), Madrid, Spain.,Spanish Center for Biomedical Research Network in Oncology (CIBERONC), Madrid, Spain
| | | | - David Lora
- Scientific Support Unit, Health Research Institute Hospital 12 de Octubre (imas12), Madrid, Spain.,Spanish Center for Biomedical Research Network in Epidemiology and Public Health (CIBERESP), Madrid, Spain.,Faculty of Statistical Sciences, Complutense University, Madrid, Spain
| | - Elena Sanchez
- Pathology-Targeted Therapies Laboratory, HM Sanchinarro University Hospital, Madrid, Spain
| | - Aranzazu Rosado
- H12O-CNIO Lung Cancer Clinical Research Unit, Health Research Institute Hospital 12 de Octubre (imas12) / Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | | | - Nuria Carrizo
- H12O-CNIO Lung Cancer Clinical Research Unit, Health Research Institute Hospital 12 de Octubre (imas12) / Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | | | - María Teresa Muñoz-Jimenez
- H12O-CNIO Lung Cancer Clinical Research Unit, Health Research Institute Hospital 12 de Octubre (imas12) / Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Borja Rodriguez
- H12O-CNIO Lung Cancer Clinical Research Unit, Health Research Institute Hospital 12 de Octubre (imas12) / Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | | | - David Gómez-Sánchez
- H12O-CNIO Lung Cancer Clinical Research Unit, Health Research Institute Hospital 12 de Octubre (imas12) / Spanish National Cancer Research Center (CNIO), Madrid, Spain.,Spanish Center for Biomedical Research Network in Oncology (CIBERONC), Madrid, Spain
| | - Irene Ferrer
- H12O-CNIO Lung Cancer Clinical Research Unit, Health Research Institute Hospital 12 de Octubre (imas12) / Spanish National Cancer Research Center (CNIO), Madrid, Spain.,Spanish Center for Biomedical Research Network in Oncology (CIBERONC), Madrid, Spain
| | - Santiago Ponce Aix
- H12O-CNIO Lung Cancer Clinical Research Unit, Health Research Institute Hospital 12 de Octubre (imas12) / Spanish National Cancer Research Center (CNIO), Madrid, Spain.,Spanish Center for Biomedical Research Network in Oncology (CIBERONC), Madrid, Spain.,Medical Oncology Department, 12 de Octubre Hospital, Madrid, Spain
| | - Ángel Nuñez Buiza
- H12O-CNIO Lung Cancer Clinical Research Unit, Health Research Institute Hospital 12 de Octubre (imas12) / Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Pilar Garrido
- Spanish Center for Biomedical Research Network in Oncology (CIBERONC), Madrid, Spain.,Medical Oncology Department, Ramón y Cajal Hospital, IRYCIS, Madrid, Spain.,Faculty of Medicine, Alcalá de Henares University, Madrid, Spain
| | - José Palacios
- Spanish Center for Biomedical Research Network in Oncology (CIBERONC), Madrid, Spain.,Pathology Department, Ramón y Cajal Hospital, IRYCIS, Madrid, Spain.,Faculty of Medicine, Alcalá de Henares University, Madrid, Spain
| | - Fernando Lopez-Rios
- Spanish Center for Biomedical Research Network in Oncology (CIBERONC), Madrid, Spain .,Pathology-Targeted Therapies Laboratory, HM Sanchinarro University Hospital, Madrid, Spain
| | - Eva M Garrido-Martin
- H12O-CNIO Lung Cancer Clinical Research Unit, Health Research Institute Hospital 12 de Octubre (imas12) / Spanish National Cancer Research Center (CNIO), Madrid, Spain .,Spanish Center for Biomedical Research Network in Oncology (CIBERONC), Madrid, Spain
| | - Luis Paz-Ares
- H12O-CNIO Lung Cancer Clinical Research Unit, Health Research Institute Hospital 12 de Octubre (imas12) / Spanish National Cancer Research Center (CNIO), Madrid, Spain.,Spanish Center for Biomedical Research Network in Oncology (CIBERONC), Madrid, Spain.,Medical Oncology Department, 12 de Octubre Hospital, Madrid, Spain.,Faculty of Medicine, Complutense University, Madrid, Spain
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44
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[Predictive diagnostics for checkpoint inhibitors]. DER PATHOLOGE 2021; 42:380-390. [PMID: 33956171 DOI: 10.1007/s00292-021-00939-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/25/2021] [Indexed: 10/21/2022]
Abstract
Checkpoint inhibitors have revolutionized oncological treatment in many cancers and added a new immuno-oncological treatment pillar to the medicinal arsenal of conventional and molecularly targeted therapies. In monotherapy and in combination therapies, however, not all patients respond equally well, even in generally responsive tumor entities. Therefore, since the introduction of these therapies, a major focus has been the research on and implementation of predictive markers for patient selection. The first established biomarker, the expression of the target molecule PD-L1, has found its way into routine diagnostics in a large number of unfortunately very divergent diagnostic constellations in multiple entities. In addition, some molecular predictors, including the measurement of microsatellite instability and tumor mutational burden, have also been suggested and in some cases are already implemented into routine diagnostics. Additional molecular parameters have been proposed but most of them have not yet found their way into routine patient care. This review article discusses the current status and recent developments in the field of diagnostic response predictors in the context of an immune checkpoint blockade.
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45
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Fenizia F, Alborelli I, Costa JL, Vollbrecht C, Bellosillo B, Dinjens W, Endris V, Heydt C, Leonards K, Merkelback-Bruse S, Pfarr N, van Marion R, Allen C, Chaudhary R, Gottimukkala R, Hyland F, Wong-Ho E, Jermann P, Machado JC, Hummel M, Stenzinger A, Normanno N. Validation of a Targeted Next-Generation Sequencing Panel for Tumor Mutation Burden Analysis: Results from the Onconetwork Immuno-Oncology Consortium. J Mol Diagn 2021; 23:882-893. [PMID: 33964449 DOI: 10.1016/j.jmoldx.2021.04.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 03/26/2021] [Accepted: 04/12/2021] [Indexed: 12/22/2022] Open
Abstract
Tumor mutation burden (TMB) is evaluated as a biomarker of response to immunotherapy. We present the efforts of the Onconetwork Immuno-Oncology Consortium to validate a commercial targeted sequencing test for TMB calculation. A three-phase study was designed to validate the Oncomine Tumor Mutational Load (OTML) assay at nine European laboratories. Phase 1 evaluated reproducibility and accuracy on seven control samples. In phase 2, six formalin-fixed, paraffin-embedded samples tested with FoundationOne were reanalyzed with the OTML panel to evaluate concordance and reproducibility. Phase 3 involved analysis of 90 colorectal cancer samples with known microsatellite instability (MSI) status to evaluate TMB and MSI association. High reproducibility of TMB was demonstrated among the sites in the first and second phases. Strong correlation was also detected between mean and expected TMB in phase 1 (r2 = 0.998) and phase 2 (r2 = 0.96). Detection of actionable mutations was also confirmed. In colorectal cancer samples, the expected pattern of MSI-high/high-TMB and microsatellite stability/low-TMB was present, and gene signatures produced by the panel suggested the presence of a POLE mutation in two samples. The OTML panel demonstrated robustness and reproducibility for TMB evaluation. Results also suggest the possibility of using the panel for mutational signatures and variant detection. Collaborative efforts between academia and companies are crucial to accelerate the translation of new biomarkers into clinical research.
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Affiliation(s)
- Francesca Fenizia
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Naples, Italy
| | - Ilaria Alborelli
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Jose Luis Costa
- Institute of Molecular Pathology and Immunology of the University of Porto, Porto, Portugal
| | - Claudia Vollbrecht
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Pathology, Berlin, Germany
| | | | - Winand Dinjens
- Department of Pathology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, the Netherlands
| | - Volker Endris
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Carina Heydt
- Institute of Pathology, University Hospital Cologne, Cologne, France
| | - Katharina Leonards
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | | | - Nicole Pfarr
- Institute of Pathology, Technical University Munich, Munich, Germany
| | - Ronald van Marion
- Department of Pathology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, the Netherlands
| | - Christopher Allen
- Clinical Next-Generation Sequencing Division, Thermo Fisher Scientific, Waltham, Massachusetts
| | - Ruchi Chaudhary
- Clinical Next-Generation Sequencing Division, Thermo Fisher Scientific, Waltham, Massachusetts
| | - Rajesh Gottimukkala
- Clinical Next-Generation Sequencing Division, Thermo Fisher Scientific, Waltham, Massachusetts
| | - Fiona Hyland
- Clinical Next-Generation Sequencing Division, Thermo Fisher Scientific, Waltham, Massachusetts
| | - Elaine Wong-Ho
- Clinical Next-Generation Sequencing Division, Thermo Fisher Scientific, Waltham, Massachusetts
| | - Philip Jermann
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Jose Carlos Machado
- Institute of Molecular Pathology and Immunology of the University of Porto, Porto, Portugal
| | - Michael Hummel
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Pathology, Berlin, Germany
| | | | - Nicola Normanno
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Naples, Italy.
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46
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Zhang W, Wang R, Fang H, Ma X, Li D, Liu T, Chen Z, Wang K, Hao S, Yu Z, Chang Z, Na C, Wang Y, Bai J, Zhang Y, Chen F, Li M, Chen C, Wei L, Li J, Chang X, Qu S, Yang L, Huang J. Influence of low tumor content on tumor mutational burden estimation by whole-exome sequencing and targeted panel sequencing. Clin Transl Med 2021; 11:e415. [PMID: 34047470 PMCID: PMC8102856 DOI: 10.1002/ctm2.415] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 04/18/2021] [Accepted: 04/21/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Tumor mutational burden (TMB) is a promising biomarker for stratifying patient subpopulation who would benefit from immune checkpoint blockade (ICB) therapies. Although great efforts have been made for standardizing TMB measurement, mutation calling and TMB quantification can be challenging in samples with low tumor content including liquid biopsies. The effect of varying tumor content on TMB estimation by different assay methods has never been systematically investigated. METHOD We established a series of reference standard DNA samples derived from 11 pairs of tumor-normal matched human cell lines across different cancer types. Each tumor cell line was mixed with its matched normal at 0% (control), 1%, 2%, 5%, and 10% mass-to-mass ratio to mimic the clinical samples with low tumor content. TMB of these reference standards was evaluated by both ∼1000× whole-exome sequencing (wesTMB) and targeted panel sequencing (psTMB) at four different vendors. Both regression and classification analyses of TMB were performed for theoretical investigation and clinical practice purposes. RESULTS Linear regression model was established that demonstrated in silico psTMB determined by regions of interest (ROI) as a great representative of wesTMB based on TCGA dataset. It was also true in our reference standard samples as the predicted psTMB interval based on the observed wesTMB captured the intended 90% of the in silico psTMB values. Although ∼1000× deep WES was applied, reference standard samples with less than 5% of tumor proportions are below the assay limit of detection (LoD) of wesTMB quantification. However, predicted wesTMB based on observed psTMB accurately classify (>0.97 AUC) for TMB high and low patient stratification even in samples with 2% of tumor content, which is more clinically relevant, as TMB determination should be a qualitative assay for TMB high and low patient classification. One targeted panel sequencing vendor using an optimized blood psTMB pipeline can further classify TMB status accurately (>0.82 AUC) in samples with only 1% of tumor content. CONCLUSIONS We developed a linear model to establish the quantitative correlation between wesTMB and psTMB. A set of DNA reference standards was produced in aid to standardize TMB measurements in samples with low tumor content across different targeted sequencing panels. This study is a significant contribution aiming to harmonize TMB estimation and extend its future application in clinical samples with low tumor content including liquid biopsy.
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Affiliation(s)
- Wenxin Zhang
- Department of In Vitro Diagnostic ReagentNational Institutes for Food And Drug Control (NIFDC)BeijingChina
| | - Ruixia Wang
- Department of In Vitro Diagnostic ReagentBeijing Institute of Medical Device TestingBeijingChina
| | | | | | - Dan Li
- Geneplus‐BeijingBeijingChina
| | - Tao Liu
- Geneplus‐BeijingBeijingChina
| | | | - Ke Wang
- Geneplus‐BeijingBeijingChina
| | | | | | - Zhili Chang
- Nanjing Geneseeq Technology Inc.NanjingChina
| | | | - Yin Wang
- Berry Oncology CorporationBeijingChina
| | - Jian Bai
- Berry Oncology CorporationBeijingChina
| | | | | | - Miao Li
- YuceBio Technology Co., Ltd.ShenzhenChina
| | - Chao Chen
- YuceBio Technology Co., Ltd.ShenzhenChina
| | | | | | - Xiaoyan Chang
- Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeTsinghua UniversityBeijingChina
| | - Shoufang Qu
- Department of In Vitro Diagnostic ReagentNational Institutes for Food And Drug Control (NIFDC)BeijingChina
| | - Ling Yang
- Geneplus‐BeijingBeijingChina
- Geneplus‐Suzhou Biomedical Engineering CorporationSuzhouChina
| | - Jie Huang
- Department of In Vitro Diagnostic ReagentNational Institutes for Food And Drug Control (NIFDC)BeijingChina
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47
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Chen X, Fang L, Zhu Y, Bao Z, Wang Q, Liu R, Sun W, Du H, Lin J, Yu B, Chen S, Zhou J, Zhou J. Blood tumor mutation burden can predict the clinical response to immune checkpoint inhibitors in advanced non-small cell lung cancer patients. Cancer Immunol Immunother 2021; 70:3513-3524. [PMID: 33899131 DOI: 10.1007/s00262-021-02943-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 04/10/2021] [Indexed: 12/26/2022]
Abstract
BACKGROUND Tissue tumor mutation burden (tTMB) assessed by whole-exome sequencing (WES), which has been regarded as the gold standard method of tTMB measurement, can predict the clinical benefits of immune checkpoint inhibitors (ICIs). Multiple studies have investigated the feasibility of utilizing large panels to evaluate TMB but have obtained conflicting results. Furthermore, whether blood TMB (bTMB) can also be a predictive biomarker in NSCLC has not been determined. METHODS Fifty-six advanced NSCLC patients treated with ICIs were enrolled, including an exploratory cohort (n = 42) and a small independent validation cohort (n = 14). Next-generation sequencing was performed on tumor and plasma samples collected prior to ICI treatment using a panel consisting of 520 cancer-related genes (OncoScreen) to evaluate tTMB/bTMB. WES was also performed on tumor samples to serve as references. RESULTS A positive correlation between tTMB derived from WES and OncoScreen was observed. OncoScreen-derived tTMB showed a positive correlation with OncoScreen-derived bTMB. Patients with OncoScreen-derived tTMB [Formula: see text] 7 mutations/Mb (p = 0.003) or bTMB [Formula: see text] 11 mutations/Mb (p = 0.0029) had superior progression-free survival (PFS). In the small validation cohort, patients with OncoScreen-derived bTMB [Formula: see text] 11 mutations/Mb exhibited longer PFS (p = 0.192) with a nonsignificant difference. In all 42 patients who had available bTMB and PFS, patients with bTMB [Formula: see text] 11 mutations/Mb had significantly longer PFS (p = 0.011) than those with bTMB [Formula: see text] 11 mutations/Mb. CONCLUSION Our study confirmed the feasibility of using large panels to estimate TMB. We also demonstrated that bTMB can serve as a potential biomarker for predicting the efficacy of ICIs in NSCLC.
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Affiliation(s)
- Xi Chen
- Department of Respiratory Diseases, Thoracic Disease Diagnosis and Treatment Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, Zhejiang Province, China
| | - Liangjie Fang
- Department of Respiratory Diseases, Thoracic Disease Diagnosis and Treatment Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, Zhejiang Province, China
| | - Yanping Zhu
- Department of Respiratory Diseases, Thoracic Disease Diagnosis and Treatment Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, Zhejiang Province, China
| | - Zhang Bao
- Department of Respiratory Diseases, Thoracic Disease Diagnosis and Treatment Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, Zhejiang Province, China
| | - Qing Wang
- Department of Respiratory Diseases, Thoracic Disease Diagnosis and Treatment Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, Zhejiang Province, China
| | - Rong Liu
- Department of Respiratory Diseases, Thoracic Disease Diagnosis and Treatment Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, Zhejiang Province, China
| | - Wenjia Sun
- Department of Respiratory Diseases, Thoracic Disease Diagnosis and Treatment Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, Zhejiang Province, China
| | - Haiwei Du
- Burning Rock Biotech, Guangzhou, China
| | - Jing Lin
- Burning Rock Biotech, Guangzhou, China
| | - Bing Yu
- Burning Rock Biotech, Guangzhou, China
| | | | - Jianya Zhou
- Department of Respiratory Diseases, Thoracic Disease Diagnosis and Treatment Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, Zhejiang Province, China.
| | - Jianying Zhou
- Department of Respiratory Diseases, Thoracic Disease Diagnosis and Treatment Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, Zhejiang Province, China
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48
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Hofman P. Next-Generation Sequencing with Liquid Biopsies from Treatment-Naïve Non-Small Cell Lung Carcinoma Patients. Cancers (Basel) 2021; 13:2049. [PMID: 33922637 PMCID: PMC8122958 DOI: 10.3390/cancers13092049] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 04/11/2021] [Accepted: 04/20/2021] [Indexed: 12/16/2022] Open
Abstract
Recently, the liquid biopsy (LB), a non-invasive and easy to repeat approach, has started to compete with the tissue biopsy (TB) for detection of targets for administration of therapeutic strategies for patients with advanced stages of lung cancer at tumor progression. A LB at diagnosis of late stage non-small cell lung carcinoma (NSCLC) is also being performed. It may be asked if a LB can be complementary (according to the clinical presentation or systematics) or even an alternative to a TB for treatment-naïve advanced NSCLC patients. Nucleic acid analysis with a TB by next-generation sequencing (NGS) is gradually replacing targeted sequencing methods for assessment of genomic alterations in lung cancer patients with tumor progression, but also at baseline. However, LB is still not often used in daily practice for NGS. This review addresses different aspects relating to the use of LB for NGS at diagnosis in advanced NSCLC, including its advantages and limitations.
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Affiliation(s)
- Paul Hofman
- Laboratory of Clinical and Experimental Pathology, Université Côte d’Azur, CHU Nice, FHU OncoAge, Pasteur Hospital, 30 avenue de la voie romaine, BP69, CEDEX 01, 06001 Nice, France; ; Tel.: +33-4-92-03-88-55 or +33-4-92-03-87-49; Fax: +33-4-92-88-50
- Hospital-Integrated Biobank BB-0033-00025, Université Côte d’Azur, CHU Nice, FHU OncoAge, 06001 Nice, France
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49
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Fenizia F, Wolstenholme N, Fairley JA, Rouleau E, Cheetham MH, Horan MP, Torlakovic E, Besse B, Al Dieri R, Tiniakos DG, Deans ZC, Patton SJ, Normanno N. Tumor mutation burden testing: a survey of the International Quality Network for Pathology (IQN Path). Virchows Arch 2021; 479:1067-1072. [PMID: 33856555 PMCID: PMC8724102 DOI: 10.1007/s00428-021-03093-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 03/15/2021] [Accepted: 03/30/2021] [Indexed: 12/14/2022]
Abstract
While tumour mutation burden (TMB) is emerging as a possible biomarker for immune-checkpoint inhibitors (ICI), methods for testing have not been standardised as yet. In April 2019, the International Quality Network for Pathology (IQN Path) launched a survey to assess the current practice of TMB testing. Of the 127 laboratories that replied, 69 (54.3%) had already introduced TMB analysis for research purposes and/or clinical applications. Fifty laboratories (72.5%) used targeted sequencing, although a number of different panels were employed. Most laboratories tested formalin-fixed paraffin-embedded material (94.2%), while 18/69 (26%) tested also cell-free DNA. Fifty-five laboratories used both single nucleotide variants and indels for TMB calculation; 20 centers included only non-synonymous variants. In conclusion, the data from this survey indicate that multiple global laboratories were capable of rapidly introducing routine clinical TMB testing. However, the variability of testing methods raises concerns about the reproducibility of results among centers.
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Affiliation(s)
- Francesca Fenizia
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori - IRCCS - "Fondazione G. Pascale", Via Mariano Semola, 80131, Napoli, Italy
| | - Nicola Wolstenholme
- EMQN CIC, c/o Trustech, 6th Floor, Citilabs 1.0, Nelson Street, Manchester, M13 9NQ, UK
| | - Jennifer A Fairley
- Genomics Quality Assessment, Department of Laboratory Medicine, Royal Infirmary of Edinburgh, Little France Crescent, Edinburgh, EH16 4SA, UK
| | - Etienne Rouleau
- Department of Medical Biology and Pathology, Gustave Roussy, Cancer Genetics Laboratory, Gustave Roussy, 94800, Villejuif, France
| | - Melanie H Cheetham
- EMQN CIC, c/o Trustech, 6th Floor, Citilabs 1.0, Nelson Street, Manchester, M13 9NQ, UK
| | - Martin P Horan
- RCPAQAP Molecular Genetics, St Leonard's, Sydney, Australia
| | - Emina Torlakovic
- Department of Pathology and Laboratory Medicine, Royal University Hospital, Saskatchewan Health Authority, Saskatoon, Saskatchewan, Canada.,College of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Benjamin Besse
- Department of Medical Oncology, Gustave Roussy University Hospital, 114 rue Edouard Vaillant, 94805, Villejuif, France
| | | | - Dina G Tiniakos
- Department of Pathology, Aretaieion Hospital, National and Kapodistrian University of Athens, Athens, Greece.,Translational & Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Zandra C Deans
- Genomics Quality Assessment, Department of Laboratory Medicine, Royal Infirmary of Edinburgh, Little France Crescent, Edinburgh, EH16 4SA, UK
| | - Simon J Patton
- EMQN CIC, c/o Trustech, 6th Floor, Citilabs 1.0, Nelson Street, Manchester, M13 9NQ, UK
| | - Nicola Normanno
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori - IRCCS - "Fondazione G. Pascale", Via Mariano Semola, 80131, Napoli, Italy.
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50
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Özdoğan M, Papadopoulou E, Tsoulos N, Tsantikidi A, Mariatou VM, Tsaousis G, Kapeni E, Bourkoula E, Fotiou D, Kapetsis G, Boukovinas I, Touroutoglou N, Fassas A, Adamidis A, Kosmidis P, Trafalis D, Galani E, Lypas G, Orhan B, Tansan S, Özatlı T, Kırca O, Çakır O, Nasioulas G. Comprehensive tumor molecular profile analysis in clinical practice. BMC Med Genomics 2021; 14:105. [PMID: 33853586 PMCID: PMC8045191 DOI: 10.1186/s12920-021-00952-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2020] [Accepted: 03/18/2021] [Indexed: 12/20/2022] Open
Abstract
Background Tumor molecular profile analysis by Next Generation Sequencing technology is currently widely applied in clinical practice and has enabled the detection of predictive biomarkers of response to targeted treatment. In parallel with targeted therapies, immunotherapies are also evolving, revolutionizing cancer therapy, with Programmed Death-ligand 1 (PD-L1), Microsatellite instability (MSI), and Tumor Mutational Burden (TMB) analysis being the biomarkers employed most commonly. Methods In the present study, tumor molecular profile analysis was performed using a 161 gene NGS panel, containing the majority of clinically significant genes for cancer treatment selection. A variety of tumor types have been analyzed, including aggressive and hard to treat cancers such as pancreatic cancer. Besides, the clinical utility of immunotherapy biomarkers (TMB, MSI, PD-L1), was also studied.
Results Molecular profile analysis was conducted in 610 cancer patients, while in 393 of them a at least one biomarker for immunotherapy response was requested. An actionable alteration was detected in 77.87% of the patients. 54.75% of them received information related to on-label or off-label treatment (Tiers 1A.1, 1A.2, 2B, and 2C.1) and 21.31% received a variant that could be used for clinical trial inclusion. The addition to immunotherapy biomarker to targeted biomarkers’ analysis in 191 cases increased the number of patients with an on-label treatment recommendation by 22.92%, while an option for on-label or off-label treatment was provided in 71.35% of the cases. Conclusions Tumor molecular profile analysis using NGS is a first-tier method for a variety of tumor types and provides important information for decision making in the treatment of cancer patients. Importantly, simultaneous analysis for targeted therapy and immunotherapy biomarkers could lead to better tumor characterization and offer actionable information in the majority of patients. Furthermore, our data suggest that one in two patients may be eligible for on-label ICI treatment based on biomarker analysis. However, appropriate interpretation of results from such analysis is essential for implementation in clinical practice and accurate refinement of treatment strategy. Supplementary Information The online version contains supplementary material available at 10.1186/s12920-021-00952-9.
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Affiliation(s)
- Mustafa Özdoğan
- Division of Medical Oncology, Memorial Hospital, Antalya, Turkey
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Eleni Galani
- Second Department of Medical Oncology, "Metropolitan" Hospital, Piraeus, Greece
| | - George Lypas
- Department of Genetic Oncology/Medical Oncology, Hygeia Hospital, Athens, Greece
| | - Bülent Orhan
- Department of Medical Oncology, Ceylan International Hospital, Bursa, Turkey
| | | | | | - Onder Kırca
- Division of Medical Oncology, Memorial Hospital, Antalya, Turkey
| | - Okan Çakır
- Applied Health Sciences, Edinburgh Napier University, Edinburgh, EH11 4BN, Scotland, UK
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