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Olmez OF, Bilici A, Er O, Bisgin A, Sevinc A, Akman T, Uslu R, Mandel NM, Yalcin S, Teomete M, Gorumlu G, Demir A, Namal E, Alici S, Selcukbiricik F, Bavbek S, Paksoy F, Basaran G, Ozer L, Sener N, Harputluoglu H. Beyond traditional therapies: clinical significance of complex molecular profiling in patients with advanced solid tumours-results from a Turkish multi-centre study. Jpn J Clin Oncol 2024; 54:562-568. [PMID: 38271177 DOI: 10.1093/jjco/hyae002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 01/06/2024] [Indexed: 01/27/2024] Open
Abstract
OBJECTIVE The objective of this multi-centre, real-world study was to examine the potential influence of comprehensive molecular profiling on the development of treatment decisions or adjustments for patients with advanced solid malignancies. We then evaluated the impact of these informed choices on patient treatment outcomes. METHODS The study encompassed 234 adult patients (mean age: 52.7 ± 14.3 years, 54.7% women) who were diagnosed with solid tumours at 21 different medical centres in Turkey. Remarkably, 67.9% of the patients exhibited metastasis at the time of diagnosis. We utilized an OncoDNA (Gosselies, Belgium) platform (OncoDEEP) integrating next-generation sequencing with additional tests to harvest complex molecular profiling data. The results were analyzed in relation with two specific outcomes: (i) the impact on therapeutic decisions, including formulation or modifications, and (ii) associated treatment response. RESULTS Out of the 228 patients with final molecular profiling results, 118 (50.4%) had their treatment modified, whilst the remaining 110 (47.0%) did not. The response rates were comparable, with 3.9 versus 3.4% for complete response, 13.6 versus 29.3% for partial response, 66.9 versus 51.7% for progressive disease and 15.5 versus 15.5% for stable disease for treatments informed and not informed by complex molecular profiling, respectively (P = 0.16). CONCLUSION Our real-world findings highlight the significant impact of complex molecular profiling on the treatment decisions made by oncologists for a substantial portion of patients with advanced solid tumours. Regrettably, no significant advantage was detected in terms of treatment response or disease control rates.
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Affiliation(s)
- Omer Fatih Olmez
- Medical Oncology, Medipol University Faculty of Medicine Medipol Mega Hospital, Bagcilar, Istanbul
| | - Ahmet Bilici
- Medical Oncology, Medipol University Faculty of Medicine Medipol Mega Hospital, Bagcilar, Istanbul
| | - Ozlem Er
- Medical Oncology, Acibadem MAA University Acibadem Maslak Hospital, Istanbul
| | - Atil Bisgin
- Cukurova University AGENTEM (Adana Genetic Diseases Diagnosis and Treatment Center), Adana & Cukurova Technopolis InfoGenom, Adana
| | - Alper Sevinc
- Medical Oncology, Medical Park Gaziantep Hospital, Gaziantep
| | | | | | | | - Suayib Yalcin
- Department of Medical Oncology, Hacettepe University Faculty of Medicine, Ankara
| | - Mehmet Teomete
- Medical Oncology, Acibadem MAA University Acibadem Altunizade Hospital, Istanbul
| | | | - Atakan Demir
- Medical Oncology, Acibadem MAA University Acibadem Maslak Hospital, Istanbul
| | - Esat Namal
- Medical Oncology, Florence Nightingale Sisli Hospital, Istanbul
| | - Suleyman Alici
- Medical Oncology, Acibadem MAA University Acibadem Altunizade Hospital, Istanbul
| | | | | | - Fatma Paksoy
- Medical Oncology, Medical Park Goztepe Hospital, Istanbul
| | - Gul Basaran
- Medical Oncology, Acibadem MAA University Acibadem Altunizade Hospital, Istanbul
| | - Leyla Ozer
- Medical Oncology, Acıbadem MAA University Acibadem Atakent Hospital, Istanbul
| | - Nur Sener
- Medical Oncology, Florence Nightingale Atasehir Hospital, Istanbul
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Jahn SW, Jost PJ. Challenges in integrating molecular profiles into clinical cancer care. MEMO - MAGAZINE OF EUROPEAN MEDICAL ONCOLOGY 2022. [DOI: 10.1007/s12254-022-00838-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
SummaryProfiling of malignancies with next-generation sequencing (NGS) is now routine in clinical practice. While many cases of approved targeted therapies are straightforward based on well-characterized alterations, applying large NGS multigene panels to therapeutic use is frequently challenging. In this article, variant interpretation, therapy matching, and final treatment selection challenges are discussed.
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Zięba A, Stępnicki P, Matosiuk D, Kaczor AA. What are the challenges with multi-targeted drug design for complex diseases? Expert Opin Drug Discov 2022; 17:673-683. [PMID: 35549603 DOI: 10.1080/17460441.2022.2072827] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
INTRODUCTION Current findings on multifactorial diseases with a complex pathomechanism confirm that multi-target drugs are more efficient ways in treating them as opposed to single-target drugs. However, to design multi-target ligands, a number of factors and challenges must be taken into account. AREAS COVERED In this perspective, we summarize the concept of application of multi-target drugs for the treatment of complex diseases such as neurodegenerative diseases, schizophrenia, diabetes, and cancer. We discuss the aspects of target selection for multifunctional ligands and the application of in silico methods in their design and optimization. Furthermore, we highlight other challenges such as balancing affinities to different targets and drug-likeness of obtained compounds. Finally, we present success stories in the design of multi-target ligands for the treatment of common complex diseases. EXPERT OPINION Despite numerous challenges resulting from the design of multi-target ligands, these efforts are worth making. Appropriate target selection, activity balancing, and ligand drug-likeness belong to key aspects in the design of ligands acting on multiple targets. It should be emphasized that in silico methods, in particular inverse docking, pharmacophore modeling, machine learning methods and approaches derived from network pharmacology are valuable tools for the design of multi-target drugs.
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Affiliation(s)
- Agata Zięba
- Department of Synthesis and Chemical Technology of Pharmaceutical Substances with Computer Modeling Laboratory, Faculty of Pharmacy, Medical University of Lublin, Lublin, Poland
| | - Piotr Stępnicki
- Department of Synthesis and Chemical Technology of Pharmaceutical Substances with Computer Modeling Laboratory, Faculty of Pharmacy, Medical University of Lublin, Lublin, Poland
| | - Dariusz Matosiuk
- Department of Synthesis and Chemical Technology of Pharmaceutical Substances with Computer Modeling Laboratory, Faculty of Pharmacy, Medical University of Lublin, Lublin, Poland
| | - Agnieszka A Kaczor
- Department of Synthesis and Chemical Technology of Pharmaceutical Substances with Computer Modeling Laboratory, Faculty of Pharmacy, Medical University of Lublin, Lublin, Poland.,School of Pharmacy, University of Eastern Finland, Kuopio, Finland
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4
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Caputo V, De Falco V, Ventriglia A, Famiglietti V, Martinelli E, Morgillo F, Martini G, Corte CMD, Ciardiello D, Poliero L, De Vita F, Orditura M, Fasano M, Franco R, Caraglia M, Avitabile A, Scalamogna R, Marchi B, Ciardiello F, Troiani T, Napolitano S. Comprehensive genome profiling by next generation sequencing of circulating tumor DNA in solid tumors: a single academic institution experience. Ther Adv Med Oncol 2022; 14:17588359221096878. [PMID: 35547096 PMCID: PMC9082754 DOI: 10.1177/17588359221096878] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Accepted: 04/07/2022] [Indexed: 01/18/2023] Open
Abstract
Background: Recently, new evidence of the next-generation sequencing (NGS) liquid biopsy utility in clinical practice has been developed. This assay is emerging as a new promising tool to use as a noninvasive biomarker for cancer mutation profiling. Additional data supporting the clinical validity of cell free DNA (cfDNA) based testing is necessary to inform optimal use of these assays in the clinic. Materials and methods: A total of 398 cancer patients were analyzed by FoundationOne Liquid Analysis (F1LA), a genomic profiling assay and by standard NGS diagnostic ThermoFisher platform. The association between diagnostic technique was evaluated using a Poisson regression model. FoundationOne Liquid (F1L) and FoundationOne Liquid CDx (F1LCDx) detect 70 and 324 cancer-related genes alterations, respectively, including genomic signatures tumor fraction, blood tumor mutational burden (only for the 324 genes version), and microsatellite instability high status. Both assays used a single DNA extraction method to obtain cfDNA. The real-life clinical impact and feasibility of F1L and F1LCDx were evaluated across different solid tumors in our department. Results: Between 1 January 2019 and 28 February 2021, 398 samples of different tumor types from 398 patients were analyzed (overall success rate: 92%, in FoundationOne Liquid CDx Analysis success rate: 97%). Most frequent molecular alterations were TP53 (74), APC (40), DNMT3A (39), KRAS (23). The comprehensive clinical impact of F1LA compared with standard diagnostic was 64.7% versus 22.1% [risk ratio (RR) = 2.94; p < 0.001] and the potential clinical impact was 58.6% versus 11.0% (RR = 5.32; p < 0.001), respectively. Furthermore, some clinical cases were selected, in which F1LA detected actionable alterations offering an unexpected therapeutic choice. Conclusions: Although additional studies are needed to better select patients and setting, NGS F1LA is a useful, noninvasive, and repeatable assay to guide therapeutic choice in oncology. It provides a snapshot of cancer heterogeneity profile that could be incorporated in routinely clinical practice.
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Affiliation(s)
- Vincenza Caputo
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania ‘Luigi Vanvitelli’, Napoli, Italy
| | - Vincenzo De Falco
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania ‘Luigi Vanvitelli’, Napoli, Italy
| | - Anna Ventriglia
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania ‘Luigi Vanvitelli’, Napoli, Italy
| | - Vincenzo Famiglietti
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania ‘Luigi Vanvitelli’, Napoli, Italy
| | - Erika Martinelli
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania ‘Luigi Vanvitelli’, Napoli, Italy
| | - Floriana Morgillo
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania ‘Luigi Vanvitelli’, Napoli, Italy
| | - Giulia Martini
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania ‘Luigi Vanvitelli’, Napoli, Italy
| | - Carminia Maria Della Corte
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania ‘Luigi Vanvitelli’, Napoli, Italy
| | - Davide Ciardiello
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania ‘Luigi Vanvitelli’, Napoli, Italy
- Oncology Unit, Casa Sollievo della Sofferenza Hospital, San Giovanni Rotondo, Italy
| | - Luca Poliero
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania ‘Luigi Vanvitelli’, Napoli, Italy
| | - Ferdinando De Vita
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania ‘Luigi Vanvitelli’, Napoli, Italy
| | - Michele Orditura
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania ‘Luigi Vanvitelli’, Napoli, Italy
| | - Morena Fasano
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania ‘Luigi Vanvitelli’, Napoli, Italy
| | - Renato Franco
- Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, Università degli Studi della Campania ‘Luigi Vanvitelli’, Napoli, Italy
| | - Michele Caraglia
- Department of Precision Medicine, Università degli Studi della Campania ‘Luigi Vanvitelli’, Napoli, Italy
| | | | | | | | - Fortunato Ciardiello
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania ‘Luigi Vanvitelli’, Napoli, Italy
| | - Teresa Troiani
- Full Professor, Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania ‘Luigi Vanvitelli’, Via S. Pansini 5, Napoli 80131, Italy
| | - Stefania Napolitano
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania ‘Luigi Vanvitelli’, Via S. Pansini 5, Napoli 80131, Italy
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Wang X. New strategies of clinical precision medicine. Clin Transl Med 2022; 12:e135. [PMID: 35230750 PMCID: PMC8886635 DOI: 10.1002/ctm2.135] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 07/09/2020] [Accepted: 07/09/2020] [Indexed: 12/22/2022] Open
Affiliation(s)
- Xiangdong Wang
- Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University Shanghai Medical College, Shanghai, China
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Mutational Landscape and Actionable Target Rates on Advanced Stage Refractory Cancer Patients: A Multicenter Chilean Experience. J Pers Med 2022; 12:jpm12020195. [PMID: 35207683 PMCID: PMC8879850 DOI: 10.3390/jpm12020195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 01/14/2022] [Accepted: 01/18/2022] [Indexed: 11/17/2022] Open
Abstract
Major advances in sequencing technologies and targeted therapies have accelerated the incorporation of oncology into the era of precision medicine and “biomarker-driven” treatments. However, the impact of this approach on the everyday clinic has yet to be determined. Most precision oncology reports are based on developed countries and usually involve metastatic, hard-to-treat or incurable cancer patients. Moreover, in many cases race and ethnicity in these studies is commonly unreported and real-world evidence in this topic is scarce. Herein, we report data from a total of 202 Chilean advanced stage refractory cancer patients. Retrospectively, we collected patient data from NGS tests and IHC in order to determine the proportion of patients that would benefit from targeted treatments. Overall >20 tumor types were included in our cohort and 37% of patients (n = 74) displayed potentially actionable alterations, including on-label, off-label and immune checkpoint inhibitor recommendations. Our findings were in-line with previous reports such as the cancer genome atlas (TCGA). To our knowledge, this is the first report of its kind in Latin America delivering real-world evidence to estimate the percentage of refractory tumor patients that might benefit from precision oncology. Although this approach is still in its infancy in Chile, we strongly encourage the implementation of mutational tumor boards in our country in order to provide more therapeutic options for advanced stage refractory patients.
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Principalele abordări de profilare moleculă în oncologie: tehnologie, avantaje şi limitări. ONCOLOG-HEMATOLOG.RO 2022. [DOI: 10.26416/onhe.61.4.2022.7415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Huang B, Chen Q, Allison D, El Khouli R, Peh KH, Mobley J, Anderson A, Durbin EB, Goodin D, Villano JL, Miller RW, Arnold SM, Kolesar JM. Molecular Tumor Board Review and Improved Overall Survival in Non-Small-Cell Lung Cancer. JCO Precis Oncol 2021; 5:PO.21.00210. [PMID: 34622117 PMCID: PMC8492377 DOI: 10.1200/po.21.00210] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 07/13/2021] [Accepted: 08/19/2021] [Indexed: 12/25/2022] Open
Abstract
With the introduction of precision medicine, treatment options for non-small-cell lung cancer have improved dramatically; however, underutilization, especially in disadvantaged patients, like those living in rural Appalachian regions, is associated with poorer survival. Molecular tumor boards (MTBs) represent a strategy to increase precision medicine use. UK HealthCare at the University of Kentucky (UK) implemented a statewide MTB in January 2017. We wanted to test the impact of UK MTB review on overall survival in Appalachian and other regions in Kentucky. METHODS We performed a case-control study of Kentucky patients newly diagnosed with non-small-cell lung cancer between 2017 and 2019. Cases were reviewed by the UK MTB and were compared with controls without UK MTB review. Controls were identified from the Kentucky Cancer Registry and propensity-matched to cases. The primary end point was the association between MTB review and overall patient survival. RESULTS Overall, 956 patients were included, with 343 (39%) residing in an Appalachian region. Seventy-seven (8.1%) were reviewed by the MTB and classified as cases. Cox regression analysis showed that poorer survival outcome was associated with lack of MTB review (hazard ratio [HR] = 8.61; 95% CI, 3.83 to 19.31; P < .0001) and living in an Appalachian region (hazard ratio = 1.43; 95% CI, 1.17 to 1.75; P = .004). Among individuals with MTB review, survival outcomes were similar regardless of whether they lived in Appalachia or other parts of Kentucky. CONCLUSION MTB review is an independent positive predictor of overall survival regardless of residence location. MTBs may help overcome some health disparities for disadvantaged populations.
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Affiliation(s)
- Bin Huang
- Markey Cancer Center, University of Kentucky, Lexington, KY
- Division of Cancer Biostatistics, University of Kentucky, Lexington, KY
| | - Quan Chen
- Markey Cancer Center, University of Kentucky, Lexington, KY
- Division of Cancer Biostatistics, University of Kentucky, Lexington, KY
| | - Derek Allison
- Markey Cancer Center, University of Kentucky, Lexington, KY
- Department of Radiology, University of Kentucky, Lexington, KY
| | - Riham El Khouli
- Department of Pathology and Laboratory Medicine, University of Kentucky, Lexington, KY
| | - Keng Hee Peh
- Department of Pharmacy, University of Kentucky, Lexington, KY
| | - James Mobley
- Department of Internal Medicine, University of Kentucky, Lexington, KY
| | | | - Eric B Durbin
- Markey Cancer Center, University of Kentucky, Lexington, KY
- Department of Internal Medicine, University of Kentucky, Lexington, KY
| | | | - John L Villano
- Department of Internal Medicine, University of Kentucky, Lexington, KY
| | - Rachel W Miller
- Markey Cancer Center, University of Kentucky, Lexington, KY
- Department of Obstetrics and Gynecology, University of Kentucky, Lexington, KY
| | - Susanne M Arnold
- Markey Cancer Center, University of Kentucky, Lexington, KY
- Department of Internal Medicine, University of Kentucky, Lexington, KY
| | - Jill M Kolesar
- Markey Cancer Center, University of Kentucky, Lexington, KY
- Department of Obstetrics and Gynecology, University of Kentucky, Lexington, KY
- Department of Pharmacy Practice and Science, University of Kentucky, Lexington, KY
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9
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De Falco V, Poliero L, Vitello PP, Ciardiello D, Vitale P, Zanaletti N, Giunta EF, Terminiello M, Caputo V, Carlino F, Di Liello R, Ventriglia A, Famiglietti V, Martinelli E, Morgillo F, Orditura M, De Vita F, Fasano M, Napolitano S, Martini G, Della Corte CM, Franco R, Altucci L, Ciardiello F, Troiani T. Feasibility of next-generation sequencing in clinical practice: results of a pilot study in the Department of Precision Medicine at the University of Campania 'Luigi Vanvitelli'. ESMO Open 2021; 5:S2059-7029(20)30067-3. [PMID: 32234730 PMCID: PMC7174013 DOI: 10.1136/esmoopen-2020-000675] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Revised: 02/17/2020] [Accepted: 02/18/2020] [Indexed: 12/28/2022] Open
Abstract
Background The emerging role of next-generation sequencing (NGS) targeted panels is revolutionising our approach to cancer patients, providing information on gene alterations helpful for diagnosis and clinical decision, in a short time and with acceptable costs. Materials and methods In this work, we evaluated the clinical application of FoundationOne CDx test, a hybrid capture-based NGS. This test identifies alterations in 324 genes, tumour mutational burden and genomic signatures as microsatellite instability. The decision to obtain the NGS assay for a particular patient was done according to investigator’s choice. Results Overall, 122 tumour specimens were analysed, of which 84 (68.85%) succeeded. The success rate was influenced by type of specimen formalin-fixed paraffin embedded (FFPE block vs FFPE slides), by origin of the sample (surgery vs biopsy) and by time of fixation (<5 years vs ≥5 years). The most frequent subgroups of effective reports derived from colorectal cancer (25 samples), non-small-cell lung cancer (16 samples), ovarian cancer (10 samples), biliary tract cancer (9 samples), breast cancer (7 samples), gastric cancer (7 samples). The most frequent alterations found in whole population referred to TP53 (45.9%), KRAS (19.6%) and APC (13.9%). Furthermore, we performed an analysis of patients in whom this comprehensive genomic profiling (CGP) had a relevance for the patient’s disease. Conclusions On our opinion, CGP could be proposed in clinical practice in order to select patients that could most benefit from the analysis proposed, like patients with good performance status without any available treatments or with unexpected resistance to a therapy.
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Affiliation(s)
- Vincenzo De Falco
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Campania, Italy
| | - Luca Poliero
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Campania, Italy
| | - Pietro Paolo Vitello
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Campania, Italy
| | - Davide Ciardiello
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Campania, Italy
| | - Pasquale Vitale
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Campania, Italy
| | - Nicoletta Zanaletti
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Campania, Italy
| | - Emilio Francesco Giunta
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Campania, Italy
| | - Marinella Terminiello
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Campania, Italy
| | - Vincenza Caputo
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Campania, Italy
| | - Francesca Carlino
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Campania, Italy
| | - Raimondo Di Liello
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Campania, Italy
| | - Anna Ventriglia
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Campania, Italy
| | - Vincenzo Famiglietti
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Campania, Italy
| | - Erika Martinelli
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Campania, Italy
| | - Floriana Morgillo
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Campania, Italy
| | - Michele Orditura
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Campania, Italy
| | - Ferdinando De Vita
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Campania, Italy
| | - Morena Fasano
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Campania, Italy
| | - Stefania Napolitano
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Campania, Italy
| | - Giulia Martini
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Campania, Italy
| | - Carminia Maria Della Corte
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Campania, Italy
| | - Renato Franco
- Department of Mental, Physical Health and Preventive Medicine, University of Campania Luigi Vanvitelli, Napoli, Italy
| | - Lucia Altucci
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Campania, Italy
| | - Fortunato Ciardiello
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Campania, Italy
| | - Teresa Troiani
- Medical Oncology, Department of Precision Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Campania, Italy
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Gao G, Smith DI. Clinical Massively Parallel Sequencing. Clin Chem 2020; 66:77-88. [PMID: 31811004 DOI: 10.1373/clinchem.2019.303305] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Accepted: 09/24/2019] [Indexed: 01/13/2023]
Abstract
BACKGROUND The newest advances in DNA sequencing are based on technologies that perform massively parallel sequencing (MPS). Since 2006, the output from MPS platforms has increased from 20 Mb to >7 Tb. First-generation MPS platforms amplify individual DNA molecules to multiple copies and then interrogate the sequence of those molecules. Second-generation MPS analyzes single unamplified molecules to generate much longer sequence reads but with less output than first-generation MPS and lower first-pass accuracy. With MPS technologies, it is now possible to analyze genomes, exomes, a defined subset of genes, transcriptomes, and even methylation across the genome. These technologies have and will continue to completely transform the clinical practice. CONTENT The major first- and second-generation MPS platforms and how they are used in clinical practice are discussed. SUMMARY The ability to sequence terabases of DNA per run on an MPS platform will dramatically change how DNA sequencing is used in clinical practice. Currently, MPS of targeted gene panels is the most common use of this technology clinically, but as the cost for genome sequencing inches downward to $100, this may soon become the method of choice (with the caveat that, at least in the near term, clinical-grade genome sequencing with interpretation may cost much more than $100). Other uses of this technology include sequencing of a mixture of bacterial and viral species (metagenomics), as well as the characterization of methylation across the genome.
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Affiliation(s)
- Ge Gao
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC
| | - David I Smith
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
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Astras G, Papagiannopoulos CI, Kyritsis KA, Markitani C, Vizirianakis IS. Pharmacogenomic Testing to Guide Personalized Cancer Medicine Decisions in Private Oncology Practice: A Case Study. Front Oncol 2020; 10:521. [PMID: 32411592 PMCID: PMC7199631 DOI: 10.3389/fonc.2020.00521] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Accepted: 03/23/2020] [Indexed: 12/28/2022] Open
Abstract
Innovative tumor profiling methodologies are utilized to elucidate the pharmacogenomic landscape of tumor cells in order to support the molecularly guided delivery of therapeutics. Indeed, improved clinical outcomes are achieved in oncology practice by providing the physicians with expert-guided, standardized, and easily interpretable knowledge, translated from molecular profiling analysis to support clinical decision-making. However, there is still limited utilization of the technology especially in small private oncology practices. In this work, we analyzed how molecularly guided interventions in 17 consented cancer patients led to an overall improvement of disease response rates in a private oncology center. The precision medicine strategy was based on the OncoDEEP™ profiling solutions and focused on finding clinically actionable relationships between tumor biomarkers and drug responses. The obtained data support the notion that (a) following the pharmacogenomic-derived recommendations favorably impacted cancer therapy progression, and (b) the earlier profiling followed by the delivery of molecularly targeted therapy led to more durable and improved pharmacological response rates. Moreover, we report the example of a patient with metastatic gastric adenocarcinoma who, based on the molecular profiling data, received an off-label therapy that resulted in a complete response and a current cancer-free maintenance status. Overall, our data provide a paradigm on how molecular tumor profiling can improve decision-making in the routine private oncology practice.
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Affiliation(s)
- George Astras
- Department of Oncology, American Medical Center, Nicosia, Cyprus
| | | | - Konstantinos A Kyritsis
- Laboratory of Pharmacology, School of Pharmacy, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - Ioannis S Vizirianakis
- Laboratory of Pharmacology, School of Pharmacy, Aristotle University of Thessaloniki, Thessaloniki, Greece
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Comprehensive tumor profiling-guided therapy in rare or refractory solid cancer: A feasibility study in daily clinical practice. Bull Cancer 2020; 107:410-416. [DOI: 10.1016/j.bulcan.2019.12.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 12/03/2019] [Accepted: 12/22/2019] [Indexed: 11/22/2022]
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Decoding the Genomic Report for Radiologists. AJR Am J Roentgenol 2020; 214:949-961. [PMID: 32182095 DOI: 10.2214/ajr.19.21677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE. The purpose of this review is to provide a guide for radiologists that explains the language and format of modern genomic reports and summarizes the relevance of this information for modern oncologic imaging. CONCLUSION. Genomic testing plays a critical role in guiding oncologic therapies in the age of targeted treatments. Understanding and interpreting genomic reports is a valuable skill for radiologists involved with oncologic imaging interpretation.
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Nesline MK, DePietro P, Dy GK, Early A, Papanicolau-Sengos A, Conroy JM, Lenzo FL, Glenn ST, Chen H, Grand'Maison A, Boland P, Ernstoff MS, Puzanov I, Edge S, Akers S, Opyrchal M, Chatta G, Odunsi K, Frederick P, Lele S, Gardner M, Morrison C. Oncologist uptake of comprehensive genomic profile guided targeted therapy. Oncotarget 2019; 10:4616-4629. [PMID: 31384390 PMCID: PMC6659802 DOI: 10.18632/oncotarget.27047] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 06/19/2019] [Indexed: 12/20/2022] Open
Abstract
We describe the extent to which comprehensive genomic profiling (CGP) results were used by oncologists to guide targeted therapy selection in a cohort of solid tumor patients tested as part of standard care at Roswell Park Comprehensive Cancer Center June 2016-June 2017, with adequate follow up through September 2018 (n = 620). Overall, 28.4% of CGP tests advised physicians about targeted therapy use supported by companion diagnostic or practice guideline evidence. Post-test targeted therapy uptake was highest for patients in active treatment at the time of order (86% versus 76% of treatment naïve patients), but also took longer to initiate (median 50 days versus 7 days for treatment naïve patients), with few patients (2.6%) receiving targeted agents prior to testing. 100% of patients with resistance variants did not receive targeted agents. Treatment naïve patients received immunotherapy as the most common alternative. When targeted therapy given off-label or in a trial was the best CGP option, (7%) of patients received it. Our data illustrate the appropriate and heterogeneous use of CGP by oncologists as a longitudinal treatment decision tool based on patient history and treatment needs, and that some patients may benefit from testing prior to initiation of other standard treatments.
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Affiliation(s)
| | | | - Grace K Dy
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | - Amy Early
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | | | - Jeffrey M Conroy
- OmniSeq Inc., Buffalo, NY 14203, USA.,Center for Personalized Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | | | | | - Hongbin Chen
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | - Anne Grand'Maison
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | - Patrick Boland
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | - Marc S Ernstoff
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | - Igor Puzanov
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | - Stephen Edge
- Department of Surgery, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | - Stacey Akers
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | - Mateusz Opyrchal
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | - Gurkamal Chatta
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | - Kunle Odunsi
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | - Peter Frederick
- Division of Gynecologic Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | - Shashikant Lele
- Division of Gynecologic Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | | | - Carl Morrison
- OmniSeq Inc., Buffalo, NY 14203, USA.,Department of Pathology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.,Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
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