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Chon E, Sakthikumar S, Tang M, Hamilton MJ, Vaughan A, Smith A, Sommer B, Robat C, Manley C, Mullin C, Ohashi E, Manor E, Custis J, Intile J, Shiu KB, Parshley L, Bergman N, Sheppard‐Olivares S, Hafeman S, Wright Z, Haworth D, Hendricks W, Wang G. Novel genomic prognostic biomarkers for dogs with cancer. J Vet Intern Med 2023; 37:2410-2421. [PMID: 37801037 PMCID: PMC10658597 DOI: 10.1111/jvim.16893] [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: 06/09/2023] [Accepted: 09/20/2023] [Indexed: 10/07/2023] Open
Abstract
BACKGROUND Growing evidence from dogs and humans supports the abundance of mutation-based biomarkers in tumors of dogs. Increasing the use of clinical genomic diagnostic testing now provides another powerful data source for biomarker discovery. HYPOTHESIS Analyzed clinical outcomes in dogs with cancer profiled using SearchLight DNA, a cancer gene panel for dogs, to identify mutations with prognostic value. ANIMALS A total of 127 cases of cancer in dogs were analyzed using SearchLight DNA and for which clinical outcome information was available. METHODS Clinical data points were collected by medical record review. Variables including mutated genes, mutations, signalment, and treatment were fitted using Cox proportional hazard models to identify factors associated with progression-free survival (PFS). The log-rank test was used to compare PFS between patients receiving and not receiving targeted treatment before first progression. RESULTS Combined genomic and outcomes analysis identified 336 unique mutations in 89 genes across 26 cancer types. Mutations in 6 genes (CCND1, CCND3, SMARCB1, FANCG, CDKN2A/B, and MSH6) were significantly associated with shorter PFS. Dogs that received targeted treatment before first progression (n = 45) experienced significantly longer PFS compared with those that did not (n = 82, P = .01). This significance held true for 29 dogs that received genomically informed targeted treatment compared with those that did not (P = .05). CONCLUSION AND CLINICAL IMPORTANCE We identified novel mutations with prognostic value and demonstrate the benefit of targeted treatment across multiple cancer types. These results provide clinical evidence of the potential for genomics and precision medicine in dogs with cancer.
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Affiliation(s)
- Esther Chon
- Vidium Animal HealthA Subsidiary of The Translational Genomics Research Institute (TGen)ScottsdaleArizonaUSA
| | - Sharadha Sakthikumar
- Vidium Animal HealthA Subsidiary of The Translational Genomics Research Institute (TGen)ScottsdaleArizonaUSA
| | - Min Tang
- STATBEYOND Consulting LLCIrvineCaliforniaUSA
| | | | | | - Ashley Smith
- Department of Clinical SciencesAuburn University College of Veterinary MedicineAuburnAlabamaUSA
| | - Breann Sommer
- Wisconsin Veterinary Referral Center by EthosWaukeshaWisconsinUSA
| | - Cecilia Robat
- VCA Veterinary Emergency Service & Veterinary Specialty CenterMiddletonWisconsinUSA
| | | | | | - Emi Ohashi
- VCA Animal Specialty GroupLos AngelesCaliforniaUSA
| | - Emily Manor
- VCA Advanced Veterinary Care CenterFishersIndianaUSA
| | | | - Joanne Intile
- North Carolina State UniversityRaleighNorth CarolinaUSA
| | - Kai Biu Shiu
- VCA Veterinary Emergency Service & Veterinary Specialty CenterMiddletonWisconsinUSA
| | - Lisa Parshley
- Olympia Veterinary Specialists – The Cancer CenterOlympiaWashingtonUSA
| | - Noelle Bergman
- Department of Clinical SciencesAuburn University College of Veterinary MedicineAuburnAlabamaUSA
| | | | - Scott Hafeman
- VCA Highlands Ranch Animal Specialty and Emergency CenterHighlands RanchColoradoUSA
| | | | - David Haworth
- Vidium Animal HealthA Subsidiary of The Translational Genomics Research Institute (TGen)ScottsdaleArizonaUSA
| | - William Hendricks
- Vidium Animal HealthA Subsidiary of The Translational Genomics Research Institute (TGen)ScottsdaleArizonaUSA
| | - Guannan Wang
- Vidium Animal HealthA Subsidiary of The Translational Genomics Research Institute (TGen)ScottsdaleArizonaUSA
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202
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Kwak JJ, Lee KS, Lee J, Kim YJ, Choi EY, Byeon SH, Chang WS, Kim YR, Kim JS, Shin S, Lee ST, Kim SS, Lee CS. Next-Generation Sequencing of Vitreoretinal Lymphoma by Vitreous Liquid Biopsy: Diagnostic Potential and Genotype/Phenotype Correlation. Invest Ophthalmol Vis Sci 2023; 64:27. [PMID: 37975847 PMCID: PMC10664732 DOI: 10.1167/iovs.64.14.27] [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: 05/17/2023] [Accepted: 08/31/2023] [Indexed: 11/19/2023] Open
Abstract
Purpose To determine the diagnostic potential of next-generation sequencing (NGS) in vitreous samples, analyze genotype-phenotype characteristics, and compare NGS of matched vitreous and brain samples in patients with associated central nervous system lymphoma (CNSL). Methods A total of 32 patients suspected of vitreoretinal lymphoma (VRL) who underwent diagnostic vitrectomy and NGS were included in this retrospective observational case-series. Fresh vitreous specimens from diagnostic vitrectomy of VRL-suspected patients underwent NGS using a custom panel targeting 747 candidate genes for lymphoma. They also underwent malignancy cytology, interleukin (IL)-10/IL-6, immunoglobulin heavy chain (IGH)/immunoglobulin kappa light chain (IGK) monoclonality testing. MYD88 L265P mutation was examined from anterior chamber tap samples. The diagnosis of VRL was made based on typical clinical characteristics for VRL, as well as malignant cytology, IGH/IGK clonality, or IL-10/IL-6 > 1. Sensitivity and specificity of NGS were compared with conventional diagnostic tests. Brain tissues suspected of lymphoma were collected by stereotactic biopsy and underwent NGS. Genetic variations detected in NGS of vitreous and brain tissue specimens were compared. Results The sensitivity values for cytology, IL-10/IL-6 > 1, clonality assays for IGH and IGK, MYD88 L265P detection in anterior chamber tap samples, and vitreous NGS were 0.23, 0.83, 0.68, 0.79, 0.67, and 0.85, with specificity values of 1.00, 0.83, 0.50, 0.25, 0.83, and 0.83, respectively. The sensitivity (0.85) of vitreous NGS was the highest compared to other conventional diagnostic tests for VRL. The most common mutations were MYD88 (91%), CDKN2A (36%), PIM1 (32%), IGLL5 (27%), and ETV6 (23%). Although several gene alterations demonstrated heterogeneity between the brain and eyes, some common mutational profiles were observed in matched vitreous and brain samples. Conclusions Overall, NGS of the vitreous demonstrated high sensitivity among conventional diagnostic tests. VRL and CNSL appeared to have both shared and distinct genetic variations, which may suggest site-specific variations from a common origin.
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Affiliation(s)
- Jay Jiyong Kwak
- Department of Ophthalmology, The Institute of Vision Research, Yonsei University College of Medicine, Seoul, Korea
| | - Kwang Seob Lee
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Junwon Lee
- Department of Ophthalmology, The Institute of Vision Research, Yonsei University College of Medicine, Seoul, Korea
| | - Yong Joon Kim
- Department of Ophthalmology, The Institute of Vision Research, Yonsei University College of Medicine, Seoul, Korea
| | - Eun Young Choi
- Department of Ophthalmology, The Institute of Vision Research, Yonsei University College of Medicine, Seoul, Korea
| | - Suk Ho Byeon
- Department of Ophthalmology, The Institute of Vision Research, Yonsei University College of Medicine, Seoul, Korea
| | - Won Seok Chang
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul, Korea
| | - Yu Ri Kim
- Division of Hematology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Jin Seok Kim
- Division of Hematology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Saeam Shin
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Seung-Tae Lee
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Sung Soo Kim
- Department of Ophthalmology, The Institute of Vision Research, Yonsei University College of Medicine, Seoul, Korea
| | - Christopher Seungkyu Lee
- Department of Ophthalmology, The Institute of Vision Research, Yonsei University College of Medicine, Seoul, Korea
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203
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Hogg G, Severson EA, Cai L, Hoffmann HM, Holden KA, Fitzgerald K, Kenyon A, Zeng Q, Mooney M, Gardner S, Chen W, Nagan N, Boles D, Parker S, Richman TJ, Letovsky S, Dong H, Anderson SM, Ramkissoon S, Reddy P, Eisenberg M, Chenn A, Jensen TJ. Clinical characterization of the mutational landscape of 24,639 real-world samples from patients with myeloid malignancies. Cancer Genet 2023; 278-279:38-49. [PMID: 37586297 DOI: 10.1016/j.cancergen.2023.07.006] [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: 03/15/2023] [Revised: 06/30/2023] [Accepted: 07/15/2023] [Indexed: 08/18/2023]
Abstract
Myeloid neoplasms represent a broad spectrum of hematological disorders for which somatic mutation status in key driver genes is important for diagnosis, prognosis and treatment. Here we summarize the findings of a targeted, next generation sequencing laboratory developed test in 24,639 clinical myeloid samples. Data were analyzed comprehensively and as part of individual cohorts specific to acute myeloid leukemia (AML), myelodysplastic syndrome (MDS), and myeloproliferative neoplasms (MPN). Overall, 48,015 variants were detected, and variants were found in all 50 genes in the panel. The mean number of mutations per patient was 1.95. Mutation number increased with age (Spearman's rank correlation coefficient, ρ = 0.29, P < 0.0001) and was higher in patients with AML than MDS or MPN (Student's t-test, P < 0.0001). TET2 was the most common mutation detected (19.1% of samples; 4,695/24,639) including 7.7% (1,908/24,639) with multi-hit TET2 mutations. Mutation frequency was correlated between patients with cytopenias and MDS (Spearman's, ρ = 0.97, P < 2.2×10-16) with the MDS diagnostic gene SF3B1 being the only notable outlier. This large retrospective study shows the utility of NGS testing to inform clinical decisions during routine clinical care and highlights the mutational landscape of a broad population of myeloid patients.
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Affiliation(s)
| | | | - Li Cai
- Labcorp Durham, Durham, NC, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Shakti Ramkissoon
- Labcorp Durham, Durham, NC, USA; Wake Forest Comprehensive Cancer Center and Department of Pathology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | | | | | | | - Taylor J Jensen
- Labcorp San Diego, San Diego, CA, USA; Labcorp Durham, Durham, NC, USA
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204
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Straka B, Splitkova B, Vlckova M, Tesner P, Rezacova H, Krskova L, Koblizek M, Kyncl M, Maulisova A, Bukacova K, Uhrova-Meszarosova A, Musilova A, Kudr M, Ebel M, Belohlavkova A, Jahodova A, Liby P, Tichy M, Jezdik P, Zamecnik J, Aronica E, Krsek P. Genetic testing in children enrolled in epilepsy surgery program. A real-life study. Eur J Paediatr Neurol 2023; 47:80-87. [PMID: 37812946 DOI: 10.1016/j.ejpn.2023.09.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 09/22/2023] [Accepted: 09/27/2023] [Indexed: 10/11/2023]
Abstract
OBJECTIVE Although genetic causes of drug-resistant focal epilepsy and selected focal malformations of cortical development (MCD) have been described, a limited number of studies comprehensively analysed genetic diagnoses in patients undergoing pre-surgical evaluation, their outcomes and the effect of genetic diagnosis on surgical strategy. METHODS We analysed a prospective cohort of children enrolled in epilepsy surgery program over January 2018-July 2022. The majority of patients underwent germline and/or somatic genetic testing. We searched for predictors of surgical outcome and positive result of germline genetic testing. RESULTS Ninety-five patients were enrolled in epilepsy surgery program and 64 underwent resective epilepsy surgery. We ascertained germline genetic diagnosis in 13/74 patients having underwent germline gene testing (pathogenic or likely pathogenic variants in CHRNA4, NPRL3, DEPDC5, FGF12, GRIA2, SZT2, STXBP1) and identified three copy number variants. Thirty-five patients underwent somatic gene testing; we detected 10 pathogenic or likely pathogenic variants in genes SLC35A2, PTEN, MTOR, DEPDC5, NPRL3. Germline genetic diagnosis was significantly associated with the diagnosis of focal epilepsy with unknown seizure onset. SIGNIFICANCE Germline and somatic gene testing can ascertain a definite genetic diagnosis in a significant subgroup of patients in epilepsy surgery programs. Diagnosis of focal genetic epilepsy may tip the scales against the decision to proceed with invasive EEG study or surgical resection; however, selected patients with genetic focal epilepsies associated with MCD may benefit from resective epilepsy surgery and therefore, a genetic diagnosis does not disqualify patients from presurgical evaluation and epilepsy surgery.
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Affiliation(s)
- Barbora Straka
- Department of Paediatric Neurology, Motol Epilepsy Center, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Full Member of the ERN EpiCARE, V Uvalu 84, 15006, Prague, Czech Republic.
| | - Barbora Splitkova
- Department of Paediatric Neurology, Motol Epilepsy Center, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Full Member of the ERN EpiCARE, V Uvalu 84, 15006, Prague, Czech Republic.
| | - Marketa Vlckova
- Department of Biology and Medical Genetics, Motol Epilepsy Center, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Motol University Hospital, Full Member of the ERN EpiCARE, V Uvalu 84, 15006, Prague, Czech Republic.
| | - Pavel Tesner
- Department of Biology and Medical Genetics, Motol Epilepsy Center, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Motol University Hospital, Full Member of the ERN EpiCARE, V Uvalu 84, 15006, Prague, Czech Republic.
| | - Hana Rezacova
- Department of Biology and Medical Genetics, Motol Epilepsy Center, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Motol University Hospital, Full Member of the ERN EpiCARE, V Uvalu 84, 15006, Prague, Czech Republic.
| | - Lenka Krskova
- Department of Pathology and Molecular Medicine, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Full Member of the ERN EpiCARE, V Uvalu 84, 15006, Prague, Czech Republic.
| | - Miroslav Koblizek
- Department of Pathology and Molecular Medicine, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Full Member of the ERN EpiCARE, V Uvalu 84, 15006, Prague, Czech Republic.
| | - Martin Kyncl
- Department of Radiology, Motol Epilepsy Center, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Full Member of the ERN EpiCARE, V Uvalu 84, 15006, Prague, Czech Republic.
| | - Alice Maulisova
- Department of Clinical Psychology, Motol University Hospital, V Uvalu 84, 15006, Prague, Czech Republic.
| | - Katerina Bukacova
- Department of Clinical Psychology, Motol University Hospital, V Uvalu 84, 15006, Prague, Czech Republic.
| | - Anna Uhrova-Meszarosova
- Department of Paediatric Neurology, Motol Epilepsy Center, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Full Member of the ERN EpiCARE, V Uvalu 84, 15006, Prague, Czech Republic.
| | - Alena Musilova
- Department of Paediatric Neurology, Motol Epilepsy Center, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Full Member of the ERN EpiCARE, V Uvalu 84, 15006, Prague, Czech Republic.
| | - Martin Kudr
- Department of Paediatric Neurology, Motol Epilepsy Center, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Full Member of the ERN EpiCARE, V Uvalu 84, 15006, Prague, Czech Republic.
| | - Matyas Ebel
- Department of Paediatric Neurology, Motol Epilepsy Center, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Full Member of the ERN EpiCARE, V Uvalu 84, 15006, Prague, Czech Republic.
| | - Anezka Belohlavkova
- Department of Paediatric Neurology, Motol Epilepsy Center, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Full Member of the ERN EpiCARE, V Uvalu 84, 15006, Prague, Czech Republic.
| | - Alena Jahodova
- Department of Paediatric Neurology, Motol Epilepsy Center, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Full Member of the ERN EpiCARE, V Uvalu 84, 15006, Prague, Czech Republic.
| | - Petr Liby
- Department of Neurosurgery, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Full Member of the ERN EpiCARE, V Uvalu 84, 15006, Prague, Czech Republic.
| | - Michal Tichy
- Department of Neurosurgery, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Full Member of the ERN EpiCARE, V Uvalu 84, 15006, Prague, Czech Republic.
| | - Petr Jezdik
- Faculty of Electrical Engineering, Department of Circuit Theory, Czech Technical University in Prague, Technicka 2, Praha 6, 166 27, Czech Republic.
| | - Josef Zamecnik
- Department of Pathology and Molecular Medicine, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Full Member of the ERN EpiCARE, V Uvalu 84, 15006, Prague, Czech Republic.
| | - Eleonora Aronica
- Amsterdam UMC Location University of Amsterdam, Department of Neuropathology, Amsterdam Neuroscience, the Netherlands; Stichting Epilepsie Instellingen Nederland (SEIN), Heemstede, the Netherlands.
| | - Pavel Krsek
- Department of Paediatric Neurology, Motol Epilepsy Center, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Full Member of the ERN EpiCARE, V Uvalu 84, 15006, Prague, Czech Republic.
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205
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Wei J, Guo X, Yang X, Liu J, Duan Q, Tan Y, Zhang Q, Sun T, Qi C, Li X, Ji G. Sintilimab plus fluorouracil, leucovorin, oxaliplatin and docetaxel regimen as neoadjuvant therapy for resectable gastric cancer and biomarker exploration. Future Oncol 2023; 19:2395-2403. [PMID: 37990937 DOI: 10.2217/fon-2022-0929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2023] Open
Abstract
At present, preoperative chemotherapy is the standard of care for the neoadjuvant treatment of potentially resectable gastric cancer (GC). However, because the efficacy and prognosis are not ideal, curative effects for this population are unsatisfactory. With the development of immune checkpoint inhibitors, the results of a few encouraging early trials of immunotherapeutic agents as neoadjuvant therapies for resectable GC have been reported. However, markers of the efficacy of immune checkpoint inhibitors remain unclear. This prospective single-center, single-arm observational study was designed to evaluate the efficacy of sintilimab plus the fluorouracil, leucovorin, oxaliplatin and docetaxel regimen as a neoadjuvant treatment for localized GC. More importantly, this work assesses multiple dimensions and include ctDNA, the immune microenvironment and intestinal microbiome to explore correlations between biomarkers and neoadjuvant therapeutic efficacy. Clinical trial registration: ChiCTR2200061629 (www.chictr.org.cn/index.aspx).
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Affiliation(s)
- Jiangpeng Wei
- Department of Gastrointestinal Surgery, Xijing Hospital, Air Force Military Medical University, Xi'an, Shaanxi, China
| | - Xin Guo
- Department of Gastrointestinal Surgery, Xijing Hospital, Air Force Military Medical University, Xi'an, Shaanxi, China
| | - Xisheng Yang
- Department of Gastrointestinal Surgery, Xijing Hospital, Air Force Military Medical University, Xi'an, Shaanxi, China
| | - Jinqiang Liu
- Department of Gastrointestinal Surgery, Xijing Hospital, Air Force Military Medical University, Xi'an, Shaanxi, China
| | - Qianqian Duan
- The State Key Lab of Translational Medicine & Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing, China
| | - Yuan Tan
- The State Key Lab of Translational Medicine & Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing, China
| | - Qin Zhang
- The State Key Lab of Translational Medicine & Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing, China
| | - Tingting Sun
- The State Key Lab of Translational Medicine & Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing, China
| | - Chuang Qi
- The State Key Lab of Translational Medicine & Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing, China
| | - Xiaohua Li
- Department of Gastrointestinal Surgery, Xijing Hospital, Air Force Military Medical University, Xi'an, Shaanxi, China
| | - Gang Ji
- Department of Gastrointestinal Surgery, Xijing Hospital, Air Force Military Medical University, Xi'an, Shaanxi, China
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206
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Wald AI, Pingpank JF, Ongchin M, Hall LB, Jones H, Altpeter S, Liebdzinski M, Hamed AB, Derby J, Nikiforova MN, Bell PD, Paniccia A, Zureikat AH, Gorantla VC, Rhee JC, Thomas R, Bartlett DL, Smith K, Henn P, Theisen BK, Shyu S, Shalaby A, Choudry MHA, Singhi AD. Targeted Next-Generation Sequencing Improves the Prognostication of Patients with Disseminated Appendiceal Mucinous Neoplasms (Pseudomyxoma Peritonei). Ann Surg Oncol 2023; 30:7517-7526. [PMID: 37314541 DOI: 10.1245/s10434-023-13721-y] [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: 08/18/2022] [Accepted: 04/19/2023] [Indexed: 06/15/2023]
Abstract
BACKGROUND Appendiceal mucinous neoplasms (AMNs) with disseminated disease (pseudomyxoma peritonei) are heterogeneous tumors with variable clinicopathologic behavior. Despite the development of prognostic systems, objective biomarkers are needed to stratify patients. With the advent of next-generation sequencing (NGS), it remains unclear if molecular testing can improve the evaluation of disseminated AMN patients. METHODS Targeted NGS was performed for 183 patients and correlated with clinicopathologic features to include American Joint Committee on Cancer/World Health Organization (AJCC/WHO) histologic grade, peritoneal cancer index (PCI), completeness of cytoreduction (CC) score, and overall survival (OS). RESULTS Genomic alterations were identified for 179 (98%) disseminated AMNs. Excluding mitogen-activated protein kinase genes and GNAS due to their ubiquitous nature, collective genomic alterations in TP53, SMAD4, CDKN2A, and the mTOR genes were associated with older mean age, higher AJCC/WHO histologic grade, lymphovascular invasion, perineural invasion, regional lymph node metastasis, and lower mean PCI (p < 0.040). Patients harboring TP53, SMAD4, ATM, CDKN2A, and/or mTOR gene alterations were found to have lower OS rates of 55% at 5 years and 14% at 10 years, compared with 88% at 5 years and 88% at 10 years for patients without the aforementioned alterations (p < 0.001). Based on univariate and multivariate analyses, genomic alterations in TP53, SMAD4, ATM, CDKN2A, and/or the mTOR genes in disseminated AMNs were a negative prognostic factor for OS and independent of AJCC/WHO histologic grade, PCI, CC score, and hyperthermic intraperitoneal chemotherapy treatment (p = 0.006). CONCLUSIONS Targeted NGS improves the prognostic assessment of patients with disseminated AMNs and identifies patients who may require increased surveillance and/or aggressive management.
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Affiliation(s)
- Abigail I Wald
- Department of Pathology, UPMC Presbyterian Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - James F Pingpank
- Department of Surgery, UPMC Cancer Pavilion, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Melanie Ongchin
- Department of Surgery, UPMC Cancer Pavilion, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Lauren B Hall
- Department of Surgery, UPMC Cancer Pavilion, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Heather Jones
- Department of Surgery, UPMC Cancer Pavilion, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Shannon Altpeter
- Department of Surgery, UPMC Cancer Pavilion, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Michelle Liebdzinski
- Department of Surgery, UPMC Cancer Pavilion, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Ahmed B Hamed
- Department of Surgery, UPMC Cancer Pavilion, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Joshua Derby
- Department of Surgery, UPMC Cancer Pavilion, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Marina N Nikiforova
- Department of Pathology, UPMC Presbyterian Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Phoenix D Bell
- Department of Pathology, UPMC Presbyterian Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Alessandro Paniccia
- Department of Surgery, UPMC Cancer Pavilion, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Amer H Zureikat
- Department of Surgery, UPMC Cancer Pavilion, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Vikram C Gorantla
- Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - John C Rhee
- Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Roby Thomas
- Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - David L Bartlett
- AHN Cancer Institute, Allegheny Health Network, Pittsburgh, PA, USA
| | - Katelyn Smith
- Department of Pathology, UPMC Presbyterian Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Patrick Henn
- Department of Pathology, University of Colorado Hospital, Aurora, CO, USA
| | - Brian K Theisen
- Department of Pathology, Henry Ford Health System, Detroit, MI, USA
| | - Susan Shyu
- Department of Pathology, WellSpan York Hospital, York, PA, USA
| | - Akram Shalaby
- Department of Pathology, UPMC Presbyterian Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - M Haroon A Choudry
- Department of Surgery, UPMC Cancer Pavilion, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
| | - Aatur D Singhi
- Department of Pathology, UPMC Presbyterian Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
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207
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Cross NCP, Ernst T, Branford S, Cayuela JM, Deininger M, Fabarius A, Kim DDH, Machova Polakova K, Radich JP, Hehlmann R, Hochhaus A, Apperley JF, Soverini S. European LeukemiaNet laboratory recommendations for the diagnosis and management of chronic myeloid leukemia. Leukemia 2023; 37:2150-2167. [PMID: 37794101 PMCID: PMC10624636 DOI: 10.1038/s41375-023-02048-y] [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: 08/29/2023] [Revised: 09/13/2023] [Accepted: 09/20/2023] [Indexed: 10/06/2023]
Abstract
From the laboratory perspective, effective management of patients with chronic myeloid leukemia (CML) requires accurate diagnosis, assessment of prognostic markers, sequential assessment of levels of residual disease and investigation of possible reasons for resistance, relapse or progression. Our scientific and clinical knowledge underpinning these requirements continues to evolve, as do laboratory methods and technologies. The European LeukemiaNet convened an expert panel to critically consider the current status of genetic laboratory approaches to help diagnose and manage CML patients. Our recommendations focus on current best practice and highlight the strengths and pitfalls of commonly used laboratory tests.
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Affiliation(s)
| | - Thomas Ernst
- Klinik für Innere Medizin II, Universitätsklinikum Jena, Jena, Germany
| | - Susan Branford
- Centre for Cancer Biology and SA Pathology, Adelaide, SA, Australia
| | - Jean-Michel Cayuela
- Laboratory of Hematology, University Hospital Saint-Louis, AP-HP and EA3518, Université Paris Cité, Paris, France
| | | | - Alice Fabarius
- III. Medizinische Klinik, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Germany
| | - Dennis Dong Hwan Kim
- Department of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | | | | | - Rüdiger Hehlmann
- III. Medizinische Klinik, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Germany
- ELN Foundation, Weinheim, Germany
| | - Andreas Hochhaus
- Klinik für Innere Medizin II, Universitätsklinikum Jena, Jena, Germany
| | - Jane F Apperley
- Centre for Haematology, Imperial College London, London, UK
- Department of Clinical Haematology, Imperial College Healthcare NHS Trust, London, UK
| | - Simona Soverini
- Department of Medical and Surgical Sciences, Institute of Hematology "Lorenzo e Ariosto Seràgnoli", University of Bologna, Bologna, Italy
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208
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Osman S, Kahraman Çetin N, Erdoğdu İH, Meteoğlu İ. Mutation Profile via Next-Generation Sequencing in Patients with Colorectal Adenocarcinoma and Its Clinicopathological Correlation. THE TURKISH JOURNAL OF GASTROENTEROLOGY : THE OFFICIAL JOURNAL OF TURKISH SOCIETY OF GASTROENTEROLOGY 2023; 34:1124-1133. [PMID: 37737217 PMCID: PMC10724784 DOI: 10.5152/tjg.2023.22682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Accepted: 01/29/2023] [Indexed: 09/23/2023]
Abstract
BACKGROUND/AIMS Recent studies that reveal the molecular profiles of colorectal carcinomas have demonstrated tumor heterogeneity. Characterization of colorectal carcinoma-specific genomic alterations is essential for developing more successful and targeted treat- ment protocols. Moreover, it is vital in elucidating the pathogenesis and mechanisms of resistance against treatment and predicting prognosis. MATERIALS AND METHODS The study included 73 cases diagnosed with colorectal carcinomas and subjected to molecular analysis by the next-generation sequencing. The association between the clinicopathologic parameters and pathogenic mutations detected in 32 genes was evaluated. RESULTS Pathogenic mutations were determined in a total of 24 genes. The Cell Division Cycle 27 (CDC27), Kirsten rat sarcoma viral proto-oncogene (KRAS), serine/threonine protein kinase B-raf (BRAF), phosphatase and tensin homolog, breast cancer 2 (BRCA2), and phosphotidylinositol-4,5-biphosphate 3-kinase (PIK3CA) mutations were determined at higher rates, with the adenomatous polypo- sis coli mutation determined at a lower rate than in the literature. There were significant positive correlations between CDC27 and phosphatase and tensin homolog (PTEN), PTEN and BRCA2, and PTEN and adenomatous polyposis coli (APC) concomitant muta- tions, whereas negative correlations were present between BRAF and KRAS. Statistically significant relationships were present between KRAS exon 2 and mucinous morphology, PIK3CA and absence of perineural invasion, BRAF and tumor differentiation/localization, MutS homolog 3 (MSH3) and tumor diameter, and BRCA2 and absence of lymph node metastasis. CONCLUSION It is necessary to have a comprehensive database of genomic alterations of colorectal carcinomas to interpret mutations more accurately clinically. There are no studies on the frequency of mutations in colorectal carcinomas in the Turkish population; thus, follow-up and treatment protocols are organized following the European and American databases and guidelines. A comprehensive study of the colorectal carcinoma patients' mutation profile in the Turkish patient cohort by the next-generation sequencing method will help to provide significant therapeutic, prognostic, and predictive data and design more successful treatment and follow-up strategies.
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Affiliation(s)
- Sibel Osman
- Department of Pathology, Aydın Adnan Menderes University Faculty of Medicine, Aydın, Turkey
| | - Nesibe Kahraman Çetin
- Department of Pathology, Aydın Adnan Menderes University Faculty of Medicine, Aydın, Turkey
| | - İbrahim Halil Erdoğdu
- Department of Pathology, Aydın Adnan Menderes University Faculty of Medicine, Aydın, Turkey
| | - İbrahim Meteoğlu
- Department of Pathology, Aydın Adnan Menderes University Faculty of Medicine, Aydın, Turkey
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209
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Namløs HM, Khelik K, Nakken S, Vodák D, Hovig E, Myklebost O, Boye K, Meza‐Zepeda LA. Chromosomal instability and a deregulated cell cycle are intrinsic features of high-risk gastrointestinal stromal tumours with a metastatic potential. Mol Oncol 2023; 17:2432-2450. [PMID: 37622176 PMCID: PMC10620130 DOI: 10.1002/1878-0261.13514] [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: 02/28/2023] [Revised: 06/22/2023] [Accepted: 08/23/2023] [Indexed: 08/26/2023] Open
Abstract
Patients with localised, high-risk gastrointestinal stromal tumours (GIST) benefit from adjuvant imatinib treatment. Still, approximately 40% of patients relapse within 3 years after adjuvant therapy and the clinical and histopathological features currently used for risk classification cannot precisely predict poor outcomes after standard treatment. This study aimed to identify genomic and transcriptomic profiles that could be associated with disease relapse and thus a more aggressive phenotype. Using a multi-omics approach, we analysed a cohort of primary tumours from patients with untreated, resectable high-risk GISTs. We compared patients who developed metastatic disease within 3 years after finishing adjuvant imatinib treatment and patients without disease relapse after more than 5 years of follow-up. Combining genomics and transcriptomics data, we identified somatic mutations and deregulated mRNA and miRNA genes intrinsic to each group. Our study shows that increased chromosomal instability (CIN), including chromothripsis and deregulated kinetochore and cell cycle signalling, separates high-risk samples according to metastatic potential. The increased CIN seems to be an intrinsic feature for tumours that metastasise and should be further validated as a novel prognostic biomarker for high-risk GIST.
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Affiliation(s)
- Heidi Maria Namløs
- Department of Tumor Biology, Institute for Cancer Research, The Norwegian Radium HospitalOslo University HospitalOsloNorway
| | - Ksenia Khelik
- Department of Tumor Biology, Institute for Cancer Research, The Norwegian Radium HospitalOslo University HospitalOsloNorway
| | - Sigve Nakken
- Department of Tumor Biology, Institute for Cancer Research, The Norwegian Radium HospitalOslo University HospitalOsloNorway
- Centre for Cancer Cell Reprogramming, Faculty of Medicine, Institute of Clinical MedicineUniversity of OsloOsloNorway
- Department of InformaticsUniversity of OsloOsloNorway
| | - Daniel Vodák
- Bioinformatics Core Facility, Department of Core Facilities, Institute for Cancer ResearchOslo University HospitalOsloNorway
| | - Eivind Hovig
- Department of Tumor Biology, Institute for Cancer Research, The Norwegian Radium HospitalOslo University HospitalOsloNorway
- Department of InformaticsUniversity of OsloOsloNorway
| | - Ola Myklebost
- Department of Tumor Biology, Institute for Cancer Research, The Norwegian Radium HospitalOslo University HospitalOsloNorway
- Department for Clinical ScienceUniversity of BergenBergenNorway
| | - Kjetil Boye
- Department of Tumor Biology, Institute for Cancer Research, The Norwegian Radium HospitalOslo University HospitalOsloNorway
- Department of OncologyOslo University HospitalOsloNorway
| | - Leonardo A. Meza‐Zepeda
- Department of Tumor Biology, Institute for Cancer Research, The Norwegian Radium HospitalOslo University HospitalOsloNorway
- Genomics Core Facility, Department of Core Facilities, Institute for Cancer ResearchOslo University HospitalOsloNorway
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210
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Ptashkin RN, Ewalt MD, Jayakumaran G, Kiecka I, Bowman AS, Yao J, Casanova J, Lin YTD, Petrova-Drus K, Mohanty AS, Bacares R, Benhamida J, Rana S, Razumova A, Vanderbilt C, Balakrishnan Rema A, Rijo I, Son-Garcia J, de Bruijn I, Zhu M, Lachhander S, Wang W, Haque MS, Seshan VE, Wang J, Liu Y, Nafa K, Borsu L, Zhang Y, Aypar U, Suehnholz SP, Chakravarty D, Park JH, Abdel-Wahab O, Mato AR, Xiao W, Roshal M, Yabe M, Batlevi CL, Giralt S, Salles G, Rampal R, Tallman M, Stein EM, Younes A, Levine RL, Perales MA, van den Brink MRM, Dogan A, Ladanyi M, Berger MF, Brannon AR, Benayed R, Zehir A, Arcila ME. Enhanced clinical assessment of hematologic malignancies through routine paired tumor and normal sequencing. Nat Commun 2023; 14:6895. [PMID: 37898613 PMCID: PMC10613284 DOI: 10.1038/s41467-023-42585-9] [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: 04/05/2023] [Accepted: 10/16/2023] [Indexed: 10/30/2023] Open
Abstract
Genomic profiling of hematologic malignancies has augmented our understanding of variants that contribute to disease pathogenesis and supported development of prognostic models that inform disease management in the clinic. Tumor only sequencing assays are limited in their ability to identify definitive somatic variants, which can lead to ambiguity in clinical reporting and patient management. Here, we describe the MSK-IMPACT Heme cohort, a comprehensive data set of somatic alterations from paired tumor and normal DNA using a hybridization capture-based next generation sequencing platform. We highlight patterns of mutations, copy number alterations, and mutation signatures in a broad set of myeloid and lymphoid neoplasms. We also demonstrate the power of appropriate matching to make definitive somatic calls, including in patients who have undergone allogeneic stem cell transplant. We expect that this resource will further spur research into the pathobiology and clinical utility of clinical sequencing for patients with hematologic neoplasms.
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Affiliation(s)
- Ryan N Ptashkin
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- C2i Genomics, New York, NY, USA
| | - Mark D Ewalt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Gowtham Jayakumaran
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Guardant Health, Palo Alto, CA, USA
| | - Iwona Kiecka
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anita S Bowman
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - JinJuan Yao
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jacklyn Casanova
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yun-Te David Lin
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kseniya Petrova-Drus
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Abhinita S Mohanty
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ruben Bacares
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jamal Benhamida
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Satshil Rana
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anna Razumova
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Chad Vanderbilt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anoop Balakrishnan Rema
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ivelise Rijo
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Julie Son-Garcia
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ino de Bruijn
- Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Menglei Zhu
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sean Lachhander
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Wei Wang
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mohammad S Haque
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Venkatraman E Seshan
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jiajing Wang
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ying Liu
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Khedoudja Nafa
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Laetitia Borsu
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yanming Zhang
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Umut Aypar
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sarah P Suehnholz
- Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Debyani Chakravarty
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jae H Park
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Omar Abdel-Wahab
- Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anthony R Mato
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Wenbin Xiao
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mikhail Roshal
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mariko Yabe
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Connie Lee Batlevi
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sergio Giralt
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Gilles Salles
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Raajit Rampal
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Martin Tallman
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL, USA
| | - Eytan M Stein
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anas Younes
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Oncology R&D, AstraZeneca, New York, NY, USA
| | - Ross L Levine
- Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Miguel-Angel Perales
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Marcel R M van den Brink
- Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ahmet Dogan
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marc Ladanyi
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michael F Berger
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - A Rose Brannon
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ryma Benayed
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Oncology R&D, AstraZeneca, New York, NY, USA
| | - Ahmet Zehir
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Oncology R&D, AstraZeneca, New York, NY, USA.
| | - Maria E Arcila
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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211
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Bedics G, Szőke P, Bátai B, Nagy T, Papp G, Kránitz N, Rajnai H, Reiniger L, Bödör C, Scheich B. Novel, clinically relevant genomic patterns identified by comprehensive genomic profiling in ATRX-deficient IDH-wildtype adult high-grade gliomas. Sci Rep 2023; 13:18436. [PMID: 37891325 PMCID: PMC10611758 DOI: 10.1038/s41598-023-45786-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: 08/23/2023] [Accepted: 10/24/2023] [Indexed: 10/29/2023] Open
Abstract
Glioblastomas are the most common IDH-wildtype adult high-grade gliomas, frequently harboring mutations in the TERT gene promoter (pTERT) and utilizing the subsequent telomerase overexpression for telomere length maintenance. However, some rare cases show loss of ATRX and use alternative mechanisms of telomere lengthening. In this study, we performed the first complex genomic analysis specifically concentrating on the latter subgroup. Comprehensive genomic profiling of 12 ATRX-deficient and 13 ATRX-intact IDH-wildtype adult high-grade gliomas revealed that ATRX and pTERT mutations are mutually exclusive. DNMT3A alterations were confined to ATRX-deficient, while PTEN mutations to ATRX-intact cases. RAS-MAPK pathway alterations, including NF1 mutations, were more characteristic in the ATRX-deficient group. Variants of genes related to homologous recombination repair showed different patterns of affected genes. Two ATRX-deficient tumors with high tumor mutational burden and mismatch repair deficiency were found. One of these contained a novel fusion involving the NTRK2 and LRRFIP2 genes, while the other showed loss of MSH2 and MSH6 without genetic alterations in the encoding genes suggesting an epigenetic background. Genetic characteristics of ATRX-deficient IDH-wildtype adult high-grade gliomas suggest that these tumors are particularly intriguing targets of potential future therapeutic interventions including immunotherapies combined with MAPK pathway inhibition and DNA repair inhibitors.
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Affiliation(s)
- Gábor Bedics
- Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, 1085, Hungary
- HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, 1085, Hungary
| | - Péter Szőke
- Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, 1085, Hungary
| | - Bence Bátai
- Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, 1085, Hungary
- HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, 1085, Hungary
| | - Tibor Nagy
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Egyetem tér 1, Life Science Building, Debrecen, 4032, Hungary
| | - Gergő Papp
- Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, 1085, Hungary
| | - Noémi Kránitz
- Department of Pathology, County Hospital Győr, Petz Aladár Hospital, Vasvári Pál út 2-4, Győr, 9024, Hungary
| | - Hajnalka Rajnai
- Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, 1085, Hungary
| | - Lilla Reiniger
- Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, 1085, Hungary
| | - Csaba Bödör
- Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, 1085, Hungary
- HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, 1085, Hungary
| | - Bálint Scheich
- Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, 1085, Hungary.
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212
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Svoboda M, Lohajova Behulova R, Slamka T, Sebest L, Repiska V. Comprehensive Genomic Profiling in Predictive Testing of Cancer. Physiol Res 2023; 72:S267-S275. [PMID: 37888970 PMCID: PMC10669951 DOI: 10.33549/physiolres.935154] [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: 05/25/2023] [Accepted: 06/07/2023] [Indexed: 12/01/2023] Open
Abstract
Despite the rapid progress in the field of personalized medicine and the efforts to apply specific treatment strategies to patients based on the presence of pathogenic variants in one, two, or three genes, patient response to the treatment in terms of positive benefit and overall survival remains heterogeneous. However, advances in sequencing and bioinformatics technologies have facilitated the simultaneous examination of somatic variants in tens to thousands of genes in tumor tissue, enabling the determination of personalized management based on the patient's comprehensive genomic profile (CGP). CGP has the potential to enhance clinical decision-making and personalize innovative treatments for individual patients, by providing oncologists with a more comprehensive molecular characterization of tumors. This study aimed to highlight the utility of CGP in routine clinical practice. Here we present three patient cases with various advanced cancer indicated for CGP analysis using a combination of SOPHiA Solid Tumor Solution (STS, 42 genes) for DNA and SOPHiA RNAtarget Oncology Solution (ROS, 45 genes and 17 gene fusions with any random partners) for RNA. We were able to identify actionable genomic alterations in all three cases, thereby presenting valuable information for future management of these patients. This approach has the potential to transform clinical practice and greatly improve patient outcomes in the field of oncology.
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Affiliation(s)
- M Svoboda
- Institute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University, Bratislava, Slovak Republic.
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213
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Mock A, Teleanu MV, Kreutzfeldt S, Heilig CE, Hüllein J, Möhrmann L, Jahn A, Hanf D, Kerle IA, Singh HM, Hutter B, Uhrig S, Fröhlich M, Neumann O, Hartig A, Brückmann S, Hirsch S, Grund K, Dikow N, Lipka DB, Renner M, Bhatti IA, Apostolidis L, Schlenk RF, Schaaf CP, Stenzinger A, Schröck E, Hübschmann D, Heining C, Horak P, Glimm H, Fröhling S. NCT/DKFZ MASTER handbook of interpreting whole-genome, transcriptome, and methylome data for precision oncology. NPJ Precis Oncol 2023; 7:109. [PMID: 37884744 PMCID: PMC10603123 DOI: 10.1038/s41698-023-00458-w] [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: 04/02/2023] [Accepted: 09/26/2023] [Indexed: 10/28/2023] Open
Abstract
Analysis of selected cancer genes has become an important tool in precision oncology but cannot fully capture the molecular features and, most importantly, vulnerabilities of individual tumors. Observational and interventional studies have shown that decision-making based on comprehensive molecular characterization adds significant clinical value. However, the complexity and heterogeneity of the resulting data are major challenges for disciplines involved in interpretation and recommendations for individualized care, and limited information exists on how to approach multilayered tumor profiles in clinical routine. We report our experience with the practical use of data from whole-genome or exome and RNA sequencing and DNA methylation profiling within the MASTER (Molecularly Aided Stratification for Tumor Eradication Research) program of the National Center for Tumor Diseases (NCT) Heidelberg and Dresden and the German Cancer Research Center (DKFZ). We cover all relevant steps of an end-to-end precision oncology workflow, from sample collection, molecular analysis, and variant prioritization to assigning treatment recommendations and discussion in the molecular tumor board. To provide insight into our approach to multidimensional tumor profiles and guidance on interpreting their biological impact and diagnostic and therapeutic implications, we present case studies from the NCT/DKFZ molecular tumor board that illustrate our daily practice. This manual is intended to be useful for physicians, biologists, and bioinformaticians involved in the clinical interpretation of genome-wide molecular information.
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Affiliation(s)
- Andreas Mock
- Division of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Institute of Pathology, Ludwig-Maximilians-Universität (LMU) München, Munich, Germany
| | - Maria-Veronica Teleanu
- Division of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Hematology, Oncology and Rheumatology, Heidelberg Unversity Hospital, Heidelberg, Germany
| | - Simon Kreutzfeldt
- Division of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Christoph E Heilig
- Division of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jennifer Hüllein
- Computational Oncology Group, Molecular Precision Oncology Program, NCT Heidelberg and DKFZ, Heidelberg, Germany
| | - Lino Möhrmann
- Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany
- Translational Medical Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Department of Translational Medical Oncology, National Center for Tumor Diseases/University Cancer Center (NCT/UCC) Dresden, Dresden, Germany
- DKFZ, Heidelberg, Germany
| | - Arne Jahn
- Translational Medical Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Institute for Clinical Genetics, University Hospital Carl Gustav Carus, Technische Universität Dresden and Hereditary Cancer Syndrome Center Dresden, Dresden, Germany
| | - Dorothea Hanf
- Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany
- Translational Medical Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Department of Translational Medical Oncology, National Center for Tumor Diseases/University Cancer Center (NCT/UCC) Dresden, Dresden, Germany
- DKFZ, Heidelberg, Germany
| | - Irina A Kerle
- Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany
- Translational Medical Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Department of Translational Medical Oncology, National Center for Tumor Diseases/University Cancer Center (NCT/UCC) Dresden, Dresden, Germany
- DKFZ, Heidelberg, Germany
| | - Hans Martin Singh
- Division of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Medical Oncology, NCT Heidelberg and Heidelberg University Hospital, Heidelberg, Germany
| | - Barbara Hutter
- Computational Oncology Group, Molecular Precision Oncology Program, NCT Heidelberg and DKFZ, Heidelberg, Germany
| | - Sebastian Uhrig
- Computational Oncology Group, Molecular Precision Oncology Program, NCT Heidelberg and DKFZ, Heidelberg, Germany
| | - Martina Fröhlich
- Computational Oncology Group, Molecular Precision Oncology Program, NCT Heidelberg and DKFZ, Heidelberg, Germany
| | - Olaf Neumann
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Andreas Hartig
- Institute of Pathology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Sascha Brückmann
- Institute of Pathology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Steffen Hirsch
- Institute of Human Genetics, Heidelberg University Hospital, Heidelberg, Germany
| | - Kerstin Grund
- Institute of Human Genetics, Heidelberg University Hospital, Heidelberg, Germany
| | - Nicola Dikow
- Institute of Human Genetics, Heidelberg University Hospital, Heidelberg, Germany
| | - Daniel B Lipka
- Division of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Translational Cancer Epigenomics, Division of Translational Medical Oncology, NCT Heidelberg and DKFZ, Heidelberg, Germany
| | - Marcus Renner
- Division of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Irfan Ahmed Bhatti
- Division of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Medical Oncology, NCT Heidelberg and Heidelberg University Hospital, Heidelberg, Germany
| | - Leonidas Apostolidis
- Department of Medical Oncology, NCT Heidelberg and Heidelberg University Hospital, Heidelberg, Germany
| | - Richard F Schlenk
- Department of Hematology, Oncology and Rheumatology, Heidelberg Unversity Hospital, Heidelberg, Germany
- Department of Medical Oncology, NCT Heidelberg and Heidelberg University Hospital, Heidelberg, Germany
- NCT Trial Center, NCT Heidelberg and DKFZ, Heidelberg, Germany
| | - Christian P Schaaf
- Institute of Human Genetics, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Evelin Schröck
- Translational Medical Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Institute for Clinical Genetics, University Hospital Carl Gustav Carus, Technische Universität Dresden and Hereditary Cancer Syndrome Center Dresden, Dresden, Germany
| | - Daniel Hübschmann
- Computational Oncology Group, Molecular Precision Oncology Program, NCT Heidelberg and DKFZ, Heidelberg, Germany
| | - Christoph Heining
- Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany
- Translational Medical Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Department of Translational Medical Oncology, National Center for Tumor Diseases/University Cancer Center (NCT/UCC) Dresden, Dresden, Germany
- DKFZ, Heidelberg, Germany
| | - Peter Horak
- Division of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Hanno Glimm
- Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany
- Translational Medical Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Department of Translational Medical Oncology, National Center for Tumor Diseases/University Cancer Center (NCT/UCC) Dresden, Dresden, Germany
- DKFZ, Heidelberg, Germany
| | - Stefan Fröhling
- Division of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany.
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214
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Zoller J, Trajanova D, Feurstein S. Germline and somatic drivers in inherited hematologic malignancies. Front Oncol 2023; 13:1205855. [PMID: 37904876 PMCID: PMC10613526 DOI: 10.3389/fonc.2023.1205855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 09/15/2023] [Indexed: 11/01/2023] Open
Abstract
Inherited hematologic malignancies are linked to a heterogenous group of genes, knowledge of which is rapidly expanding using panel-based next-generation sequencing (NGS) or whole-exome/whole-genome sequencing. Importantly, the penetrance for these syndromes is incomplete, and disease development, progression or transformation has critical clinical implications. With the earlier detection of healthy carriers and sequential monitoring of these patients, clonal hematopoiesis and somatic driver variants become significant factors in determining disease transformation/progression and timing of (preemptive) hematopoietic stem cell transplant in these patients. In this review, we shed light on the detection of probable germline predisposition alleles based on diagnostic/prognostic 'somatic' NGS panels. A multi-tier approach including variant allele frequency, bi-allelic inactivation, persistence of a variant upon clinical remission and mutational burden can indicate variants with high pre-test probability. We also discuss the shared underlying biology and frequency of germline and somatic variants affecting the same gene, specifically focusing on variants in DDX41, ETV6, GATA2 and RUNX1. Germline variants in these genes are associated with a (specific) pattern or over-/underrepresentation of somatic molecular or cytogenetic alterations that may help identify the underlying germline syndrome and predict the course of disease in these individuals. This review is based on the current knowledge about somatic drivers in these four syndromes by integrating data from all published patients, thereby providing clinicians with valuable and concise information.
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Affiliation(s)
| | | | - Simone Feurstein
- Department of Internal Medicine, Section of Hematology, Oncology & Rheumatology, University Hospital Heidelberg, Heidelberg, Germany
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215
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Chi YI, Jorge SD, Jensen DR, Smith BC, Volkman BF, Mathison AJ, Lomberk G, Zimmermann MT, Urrutia R. A multi-layered computational structural genomics approach enhances domain-specific interpretation of Kleefstra syndrome variants in EHMT1. Comput Struct Biotechnol J 2023; 21:5249-5258. [PMID: 37954151 PMCID: PMC10632586 DOI: 10.1016/j.csbj.2023.10.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 10/06/2023] [Accepted: 10/12/2023] [Indexed: 11/14/2023] Open
Abstract
This study investigates the functional significance of assorted variants of uncertain significance (VUS) in euchromatic histone lysine methyltransferase 1 (EHMT1), which is critical for early development and normal physiology. EHMT1 mutations cause Kleefstra syndrome and are linked to various human cancers. However, accurate functional interpretations of these variants are yet to be made, limiting diagnoses and future research. To overcome this, we integrate conventional tools for variant calling with computational biophysics and biochemistry to conduct multi-layered mechanistic analyses of the SET catalytic domain of EHMT1, which is critical for this protein function. We use molecular mechanics and molecular dynamics (MD)-based metrics to analyze the SET domain structure and functional motions resulting from 97 Kleefstra syndrome missense variants within the domain. Our approach allows us to classify the variants in a mechanistic manner into SV (Structural Variant), DV (Dynamic Variant), SDV (Structural and Dynamic Variant), and VUS (Variant of Uncertain Significance). Our findings reveal that the damaging variants are mostly mapped around the active site, substrate binding site, and pre-SET regions. Overall, we report an improvement for this method over conventional tools for variant interpretation and simultaneously provide a molecular mechanism for variant dysfunction.
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Affiliation(s)
- Young-In Chi
- Linda T. and John A. Mellowes Center for Genomic Sciences and Precision Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
- Division of Research, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Salomão D. Jorge
- Linda T. and John A. Mellowes Center for Genomic Sciences and Precision Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Davin R. Jensen
- Linda T. and John A. Mellowes Center for Genomic Sciences and Precision Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Brian C. Smith
- Linda T. and John A. Mellowes Center for Genomic Sciences and Precision Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Brian F. Volkman
- Linda T. and John A. Mellowes Center for Genomic Sciences and Precision Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Angela J. Mathison
- Linda T. and John A. Mellowes Center for Genomic Sciences and Precision Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
- Division of Research, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Gwen Lomberk
- Linda T. and John A. Mellowes Center for Genomic Sciences and Precision Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
- Division of Research, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Pharmacology and Toxicology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Michael T. Zimmermann
- Linda T. and John A. Mellowes Center for Genomic Sciences and Precision Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, USA
- Clinical and Translational Sciences Institute, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Raul Urrutia
- Linda T. and John A. Mellowes Center for Genomic Sciences and Precision Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
- Division of Research, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, USA
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216
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Xu GJ, Loberg MA, Gallant JN, Sheng Q, Chen SC, Lehmann BD, Shaddy SM, Tigue ML, Phifer CJ, Wang L, Saab-Chalhoub MW, Dehan LM, Wei Q, Chen R, Li B, Kim CY, Ferguson DC, Netterville JL, Rohde SL, Solórzano CC, Bischoff LA, Baregamian N, Shaver AC, Mehrad M, Ely KA, Byrne DW, Stricker TP, Murphy BA, Choe JH, Kagohara LT, Jaffee EM, Huang EC, Ye F, Lee E, Weiss VL. Molecular signature incorporating the immune microenvironment enhances thyroid cancer outcome prediction. CELL GENOMICS 2023; 3:100409. [PMID: 37868034 PMCID: PMC10589635 DOI: 10.1016/j.xgen.2023.100409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 06/03/2023] [Accepted: 08/23/2023] [Indexed: 10/24/2023]
Abstract
Genomic and transcriptomic analysis has furthered our understanding of many tumors. Yet, thyroid cancer management is largely guided by staging and histology, with few molecular prognostic and treatment biomarkers. Here, we utilize a large cohort of 251 patients with 312 samples from two tertiary medical centers and perform DNA/RNA sequencing, spatial transcriptomics, and multiplex immunofluorescence to identify biomarkers of aggressive thyroid malignancy. We identify high-risk mutations and discover a unique molecular signature of aggressive disease, the Molecular Aggression and Prediction (MAP) score, which provides improved prognostication over high-risk mutations alone. The MAP score is enriched for genes involved in epithelial de-differentiation, cellular division, and the tumor microenvironment. The MAP score also identifies aggressive tumors with lymphocyte-rich stroma that may benefit from immunotherapy. Future clinical profiling of the stromal microenvironment of thyroid cancer could improve prognostication, inform immunotherapy, and support development of novel therapeutics for thyroid cancer and other stroma-rich tumors.
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Affiliation(s)
- George J. Xu
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Matthew A. Loberg
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jean-Nicolas Gallant
- Department of Otolaryngology – Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Quanhu Sheng
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sheau-Chiann Chen
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Brian D. Lehmann
- Vanderbilt Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sophia M. Shaddy
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, USA
| | - Megan L. Tigue
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Courtney J. Phifer
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Li Wang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Mario W. Saab-Chalhoub
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lauren M. Dehan
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Qiang Wei
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA
| | - Rui Chen
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA
| | - Bingshan Li
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA
| | - Christine Y. Kim
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Donna C. Ferguson
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - James L. Netterville
- Department of Otolaryngology – Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sarah L. Rohde
- Department of Otolaryngology – Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Carmen C. Solórzano
- Vanderbilt Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lindsay A. Bischoff
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Naira Baregamian
- Vanderbilt Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Aaron C. Shaver
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Mitra Mehrad
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kim A. Ely
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Daniel W. Byrne
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Thomas P. Stricker
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Barbara A. Murphy
- Vanderbilt Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jennifer H. Choe
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Luciane T. Kagohara
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Convergence Institute, Johns Hopkins University, Baltimore, MD, USA
- Bloomberg-Kimmel Immunotherapy Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Elizabeth M. Jaffee
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Convergence Institute, Johns Hopkins University, Baltimore, MD, USA
- Bloomberg-Kimmel Immunotherapy Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Eric C. Huang
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, USA
| | - Fei Ye
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ethan Lee
- Department of Cell and Developmental Biology, Vanderbilt University, Nashville, TN, USA
- Department of Pharmacology, Vanderbilt University, Nashville, TN, USA
- Department of Cancer Biology, Vanderbilt University, Nashville, TN, USA
| | - Vivian L. Weiss
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Pharmacology, Vanderbilt University, Nashville, TN, USA
- Department of Cancer Biology, Vanderbilt University, Nashville, TN, USA
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217
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Guijarro F, López-Guerra M, Morata J, Bataller A, Paz S, Cornet-Masana JM, Banús-Mulet A, Cuesta-Casanovas L, Carbó JM, Castaño-Díez S, Jiménez-Vicente C, Cortés-Bullich A, Triguero A, Martínez-Roca A, Esteban D, Gómez-Hernando M, Álamo Moreno JR, López-Oreja I, Garrote M, Risueño RM, Tonda R, Gut I, Colomer D, Díaz-Beya M, Esteve J. Germ line variants in patients with acute myeloid leukemia without a suspicion of hereditary hematologic malignancy syndrome. Blood Adv 2023; 7:5799-5811. [PMID: 37450374 PMCID: PMC10561046 DOI: 10.1182/bloodadvances.2023009742] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 05/04/2023] [Accepted: 06/19/2023] [Indexed: 07/18/2023] Open
Abstract
Germ line predisposition in acute myeloid leukemia (AML) has gained attention in recent years because of a nonnegligible frequency and an impact on management of patients and their relatives. Risk alleles for AML development may be present in patients without a clinical suspicion of hereditary hematologic malignancy syndrome. In this study we investigated the presence of germ line variants (GVs) in 288 genes related to cancer predisposition in 47 patients with available paired, tumor-normal material, namely bone marrow stroma cells (n = 29), postremission bone marrow (n = 17), and saliva (n = 1). These patients correspond to 2 broad AML categories with heterogeneous genetic background (AML myelodysplasia related and AML defined by differentiation) and none of them had phenotypic abnormalities, previous history of cytopenia, or strong cancer aggregation. We found 11 pathogenic or likely pathogenic variants, 6 affecting genes related to autosomal dominant cancer predisposition syndromes (ATM, DDX41, and CHEK2) and 5 related to autosomal recessive bone marrow failure syndromes (FANCA, FANCM, SBDS, DNAJC21, and CSF3R). We did not find differences in clinical characteristics nor outcome between carriers of GVs vs noncarriers. Further studies in unselected AML cohorts are needed to determine GV incidence and penetrance and, in particular, to clarify the role of ATM nonsense mutations in AML predisposition.
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Affiliation(s)
- Francesca Guijarro
- Pathology Department, Hematopathology Section, Hospital Clínic Barcelona, Barcelona, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Monica López-Guerra
- Pathology Department, Hematopathology Section, Hospital Clínic Barcelona, Barcelona, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, Madrid, Spain
| | - Jordi Morata
- Centro Nacional de Análisis Genómico, Barcelona, Spain
| | - Alex Bataller
- Institut d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Hematology Department, Hospital Clínic Barcelona, Barcelona, Spain
| | - Sara Paz
- Pathology Department, Hematopathology Section, Hospital Clínic Barcelona, Barcelona, Spain
| | | | | | | | | | - Sandra Castaño-Díez
- Institut d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Hematology Department, Hospital Clínic Barcelona, Barcelona, Spain
| | - Carlos Jiménez-Vicente
- Institut d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Hematology Department, Hospital Clínic Barcelona, Barcelona, Spain
| | - Albert Cortés-Bullich
- Institut d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Hematology Department, Hospital Clínic Barcelona, Barcelona, Spain
| | - Ana Triguero
- Institut d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Hematology Department, Hospital Clínic Barcelona, Barcelona, Spain
| | - Alexandra Martínez-Roca
- Institut d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Hematology Department, Hospital Clínic Barcelona, Barcelona, Spain
| | - Daniel Esteban
- Institut d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Hematology Department, Hospital Clínic Barcelona, Barcelona, Spain
| | - Marta Gómez-Hernando
- Pathology Department, Hematopathology Section, Hospital Clínic Barcelona, Barcelona, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
| | | | - Irene López-Oreja
- Pathology Department, Hematopathology Section, Hospital Clínic Barcelona, Barcelona, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Marta Garrote
- Pathology Department, Hematopathology Section, Hospital Clínic Barcelona, Barcelona, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Ruth M. Risueño
- Josep Carreras Leukaemia Research Institute, Barcelona, Spain
| | - Raúl Tonda
- Centro Nacional de Análisis Genómico, Barcelona, Spain
| | - Ivo Gut
- Centro Nacional de Análisis Genómico, Barcelona, Spain
| | - Dolors Colomer
- Pathology Department, Hematopathology Section, Hospital Clínic Barcelona, Barcelona, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, Madrid, Spain
- University of Barcelona, Barcelona, Spain
| | - Marina Díaz-Beya
- Institut d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Hematology Department, Hospital Clínic Barcelona, Barcelona, Spain
- Josep Carreras Leukaemia Research Institute, Barcelona, Spain
- University of Barcelona, Barcelona, Spain
| | - Jordi Esteve
- Institut d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Hematology Department, Hospital Clínic Barcelona, Barcelona, Spain
- Josep Carreras Leukaemia Research Institute, Barcelona, Spain
- University of Barcelona, Barcelona, Spain
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218
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Zhang MC, Tian S, Fu D, Wang L, Cheng S, Yi HM, Jiang XF, Song Q, Zhao Y, He Y, Li JF, Mu RJ, Fang H, Yu H, Xiong H, Li B, Chen SJ, Xu PP, Zhao WL. Genetic subtype-guided immunochemotherapy in diffuse large B cell lymphoma: The randomized GUIDANCE-01 trial. Cancer Cell 2023; 41:1705-1716.e5. [PMID: 37774697 DOI: 10.1016/j.ccell.2023.09.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 06/25/2023] [Accepted: 09/05/2023] [Indexed: 10/01/2023]
Abstract
We report the results of GUIDANCE-01 (NCT04025593), a randomized, phase II trial of R-CHOP alone or combined with targeted agents (R-CHOP-X) guided by genetic subtyping of newly diagnosed, intermediate-risk, or high-risk diffuse large B cell lymphoma (DLBCL). A total of 128 patients were randomized 1:1 to receive R-CHOP-X or R-CHOP. The study achieved the primary endpoint, showing significantly higher complete response rate with R-CHOP-X than R-CHOP (88% vs. 66%, p = 0.003), with overall response rate of 92% vs. 73% (p = 0.005). Two-year progression-free survival rates were 88% vs. 63% (p < 0.001), and 2-year overall survival rates were 94% vs. 77% (p = 0.001). Meanwhile, post hoc RNA-sequencing validated our simplified genetic subtyping algorithm and previously established lymphoma microenvironment subtypes. Our findings highlight the efficacy and safety of R-CHOP-X, a mechanism-based tailored therapy, which dually targeted genetic and microenvironmental alterations in patients with newly diagnosed DLBCL.
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Affiliation(s)
- Mu-Chen Zhang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuang Tian
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Di Fu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li Wang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China; Pôle de Recherches Sino-Français en Science du Vivant et Génomique, Laboratory of Molecular Pathology, Shanghai, China
| | - Shu Cheng
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong-Mei Yi
- Department of Pathology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xu-Feng Jiang
- Department of Nuclear Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qi Song
- Department of Radiology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Zhao
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yang He
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jian-Feng Li
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rong-Ji Mu
- Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hai Fang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hao Yu
- Department of Research and Development, Shanghai Righton Biotechnology Co. Ltd, Shanghai, China
| | - Hui Xiong
- Department of Research and Development, Shanghai Righton Biotechnology Co. Ltd, Shanghai, China
| | - Biao Li
- Department of Nuclear Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Sai-Juan Chen
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Peng-Peng Xu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Wei-Li Zhao
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China; Pôle de Recherches Sino-Français en Science du Vivant et Génomique, Laboratory of Molecular Pathology, Shanghai, China.
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219
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Chen K, Yang F, Shen H, Wang C, Li X, Chervova O, Wu S, Qiu F, Peng D, Zhu X, Chuai S, Beck S, Kanu N, Carbone D, Zhang Z, Wang J. Individualized tumor-informed circulating tumor DNA analysis for postoperative monitoring of non-small cell lung cancer. Cancer Cell 2023; 41:1749-1762.e6. [PMID: 37683638 DOI: 10.1016/j.ccell.2023.08.010] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 06/26/2023] [Accepted: 08/17/2023] [Indexed: 09/10/2023]
Abstract
We report a personalized tumor-informed technology, Patient-specific pROgnostic and Potential tHErapeutic marker Tracking (PROPHET) using deep sequencing of 50 patient-specific variants to detect molecular residual disease (MRD) with a limit of detection of 0.004%. PROPHET and state-of-the-art fixed-panel assays were applied to 760 plasma samples from 181 prospectively enrolled early stage non-small cell lung cancer patients. PROPHET shows higher sensitivity of 45% at baseline with circulating tumor DNA (ctDNA). It outperforms fixed-panel assays in prognostic analysis and demonstrates a median lead-time of 299 days to radiologically confirmed recurrence. Personalized non-canonical variants account for 98.2% with prognostic effects similar to canonical variants. The proposed tumor-node-metastasis-blood (TNMB) classification surpasses TNM staging for prognostic prediction at the decision point of adjuvant treatment. PROPHET shows potential to evaluate the effect of adjuvant therapy and serve as an arbiter of the equivocal radiological diagnosis. These findings highlight the potential advantages of personalized cancer techniques in MRD detection.
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Affiliation(s)
- Kezhong Chen
- Thoracic Oncology Institute, Peking University People's Hospital, Beijing 100044, China; Department of Thoracic Surgery, Peking University People's Hospital, Beijing 100044, China.
| | - Fan Yang
- Thoracic Oncology Institute, Peking University People's Hospital, Beijing 100044, China; Department of Thoracic Surgery, Peking University People's Hospital, Beijing 100044, China
| | - Haifeng Shen
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing 100044, China
| | | | - Xi Li
- Burning Rock Biotech, Guangzhou 510300, China
| | - Olga Chervova
- University College London Cancer Institute, University College London, 72 Huntley St, London WC1E 6DD, UK
| | - Shuailai Wu
- Burning Rock Biotech, Guangzhou 510300, China
| | - Fujun Qiu
- Burning Rock Biotech, Guangzhou 510300, China
| | - Di Peng
- Burning Rock Biotech, Guangzhou 510300, China
| | - Xin Zhu
- Burning Rock Biotech, Guangzhou 510300, China
| | | | - Stephan Beck
- University College London Cancer Institute, University College London, 72 Huntley St, London WC1E 6DD, UK
| | - Nnennaya Kanu
- University College London Cancer Institute, University College London, 72 Huntley St, London WC1E 6DD, UK
| | - David Carbone
- James Thoracic Oncology Center, Ohio State University, Columbus, OH 43026, USA
| | | | - Jun Wang
- Thoracic Oncology Institute, Peking University People's Hospital, Beijing 100044, China; Department of Thoracic Surgery, Peking University People's Hospital, Beijing 100044, China.
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Chin HL, Lam JCM, Christopher D, Michelle PL, Junrong BY. Challenges associated with the identification of germline variants on myeloid malignancy genomic profiling-a Singaporean experience. Front Oncol 2023; 13:1182639. [PMID: 37860182 PMCID: PMC10582742 DOI: 10.3389/fonc.2023.1182639] [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: 03/09/2023] [Accepted: 09/07/2023] [Indexed: 10/21/2023] Open
Abstract
Genomic profiling to identify myeloid-malignancy-related gene mutations is routinely performed for patients with suspected or definite myeloid malignancies. The most common specimen types in our experience are peripheral blood and bone marrow aspirates. Although primarily intended to identify somatic mutations, not infrequently, potentially clinically significant germline variants are also identified. Confirmation of the germline status of these variants is typically performed by hair follicle or skin fibroblast testing. If the germline variant is classified as a pathogenic or likely pathogenic variant and occurs in a gene known to be associated with a disease relevant to the patient's phenotype (for example, the identification of a DDX41 pathogenic variant in an individual with acute myeloid leukemia), the management algorithm is typically quite straightforward. Challenging situations may occur such as when the germline variant is classified as a pathogenic or likely pathogenic variant and occurs in a gene not known to be associated with the patient's phenotype/presenting complaint. We have encountered several such challenging cases in which potentially clinically significant germline variants were identified on the initial genomic profiling of peripheral blood or bone marrow aspirate. In this article, we present these cases and discuss the genetic counseling and management approaches.
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Affiliation(s)
- Hui-Lin Chin
- Khoo Teck Puat National University Children's Medical Institute, Department of Paediatrics, National University Hospital, Singapore, Singapore
- Department of Paediatrics, National University of Singapore, Singapore, Singapore
| | - Joyce Ching Mei Lam
- Children’s Blood and Cancer Centre, KK Women’s and Children’s Hospital, Singapore, Singapore
- Duke-National University of Singapore (NUS) Medical School, Singapore, Singapore
| | - Dheepa Christopher
- Department of Haematology, Tan Tock Seng Hospital, Singapore, Singapore
- Department of Laboratory Medicine, Khoo Teck Puat Hospital, Singapore, Singapore
| | - Poon Limei Michelle
- Department of Haematology-Oncology, National University Cancer Institute, National University Hospital, Singapore, Singapore
| | - Benedict Yan Junrong
- Department of Laboratory Medicine, National University Hospital, Singapore, Singapore
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Li H, Niu E, Fu J, Huang Y, Gao Y, Chai W, Chen J. The Clinical Impact of Metagenomic Next-Generation Sequencing for the Diagnosis of Periprosthetic Joint Infection. Infect Drug Resist 2023; 16:6521-6533. [PMID: 37809036 PMCID: PMC10557970 DOI: 10.2147/idr.s420325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Accepted: 09/21/2023] [Indexed: 10/10/2023] Open
Abstract
Background Synovial fluid metagenomic next-generation sequencing was introduced into the diagnosis of periprosthetic joint infection (PJI) in recent years. However, the clinical impact of mNGS remains unknown. Therefore, we performed a prospective cohort study to evaluate the clinical impact of mNGS for PJI diagnosis. Materials and Methods Between April 2019 and April 2021, a total of 201 patients with suspected PJI were recruited in a high-volume PJI revision center. All patients underwent joint aspiration before surgeries and the obtained synovial fluids were sent to tests for the diagnosis of PJI. Based on the clinical evaluation of these patients, the patients were categorized into three groups: Group A: the mNGS reports were not acted upon. Group B: mNGS confirmed the standard diagnostic tests of PJI and generated identical clinical impact compared to standard diagnostic tests. Group C: mNGS results guided clinical therapy. Then, the concordance between synovial mNGS and cultures was analyzed. After that, multivariate regressions were performed to explore the "targeted populations" of mNGS tests. Results A total of 107 patients were diagnosed with PJI based on the 2014 MSIS criteria and there were 33, 123, 45 patients in the group A, B, C respectively. The predictive factors of mNGS inducing clinical impact compared to standard diagnostic tests were negative culture results (adjusted OR: 5.88), previous history of joint infection (adjusted OR: 5.97), polymicrobial PJI revealed by culture (adjusted OR: 4.39) and PJI identified by MSIS criteria (adjusted OR: 17.06). Conclusion When standard diagnostic tests for PJI were performed, about 22% of synovial fluid mNGS tests can change the treatment protocols built on standard diagnostic tests and affect the clinical practice. Thus, the use of synovial fluid mNGS in some "target" populations is more valuable compared to others such as patients with previous joint infection, polymicrobial PJI, and culture-negative PJI. Evidence Level Level I.
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Affiliation(s)
- Hao Li
- Medical School of Chinese PLA, Chinese PLA General Hospital, Beijing, People’s Republic of China
- Department of Orthopedic, Chinese PLA General Hospital, Beijing, People’s Republic of China
| | - Erlong Niu
- Department of Orthopedics, 305 Hospital of PLA, Beijing, People’s Republic of China
| | - Jun Fu
- Department of Orthopedic, Chinese PLA General Hospital, Beijing, People’s Republic of China
| | - Yinghao Huang
- School of Computer and Information Technology, Beijing Jiaotong University, Beijing, People’s Republic of China
| | - Yang Gao
- Department of Orthopedic, Chinese PLA General Hospital, Beijing, People’s Republic of China
| | - Wei Chai
- Department of Orthopedic, Chinese PLA General Hospital, Beijing, People’s Republic of China
| | - Jiying Chen
- Department of Orthopedic, Chinese PLA General Hospital, Beijing, People’s Republic of China
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Rendon RA, Selvarajah S, Wyatt AW, Kolinsky M, Schrader KA, Fleshner NE, Kinnaird A, Merrimen J, Niazi T, Saad F, Shayegan B, Wood L, Chi KN. 2023 Canadian Urological Association guideline: Genetic testing in prostate cancer. Can Urol Assoc J 2023; 17:314-325. [PMID: 37851913 PMCID: PMC10581723 DOI: 10.5489/cuaj.8588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2023]
Affiliation(s)
| | - Shamini Selvarajah
- Department of Clinical Laboratory Genetics, UHN Laboratory Medicine Program, University of Toronto, Toronto, ON, Canada
| | - Alexander W. Wyatt
- Vancouver Prostate Centre, Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Michael Kolinsky
- Division of Medical Oncology, Cross Cancer Institute, University of Alberta, Edmonton, AB, Canada
| | | | - Neil E. Fleshner
- Division of Urology, Department of Surgery, University of Toronto, Toronto, ON, Canada
| | - Adam Kinnaird
- Divison of Urology, Department of Surgery, University of Alberta, Edmonton, AB, Canada
| | | | - Tamim Niazi
- Division of Radiation Oncology, Department of Oncology, McGill University, Montreal, QC, Canada
| | - Fred Saad
- Division of Urology, Department of Surgery, Université de Montréal, Montreal, QC, Canada
| | - Bobby Shayegan
- Division of Urology, Department of Surgery, McMaster University, Hamilton, ON, Canada
| | - Lori Wood
- Division of Medical Oncology, Queen Elizabeth II Health Sciences Centre, Halifax, NS, Canada
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Breinholt MF, Schejbel L, Gang AO, Nielsen TH, Pedersen LM, Høgdall E, Nørgaard P. Next generation sequencing in routine diagnostics of mature non-Hodgkin's B-cell lymphomas. Eur J Haematol 2023; 111:583-591. [PMID: 37452559 DOI: 10.1111/ejh.14048] [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: 04/21/2023] [Revised: 07/04/2023] [Accepted: 07/05/2023] [Indexed: 07/18/2023]
Abstract
INTRODUCTION Integration of molecular characterization of lymphomas in clinical diagnostics may improve subclassification and risk-stratification, and we implemented a next generation sequencing (NGS) analysis as part of routine diagnostic work-up of all mature B-cell non-Hodgkin's lymphoma (B-NHL). Here, we present data of mutational profiles with potential complementary diagnostic, prognostic, and predictive value detected in our consecutive non-selected cohort of B-NHL patients. METHODS NGS results from 298 patients with both newly diagnosed and relapsed/refractory disease were included as a single center study. NGS was performed as routine analysis together with standard diagnostic work-up using a custom-made amplicon PCR-based multiplex NGS panel covering all coding exons and consensus splice sites in 59 genes. RESULTS Mutations were detected in 94% of the 298 samples. Most lymphomas could be classified definitively, but 24 cases were classified as small B-cell lymphomas without defining characteristics. Of these, 50% (12/24 cases) could retrospectively be assigned a likely diagnostic subtype according to mutational findings. CONCLUSION Implementation of a 59 gene exome sequencing panel added diagnostic value to 50% of unclassified cases and provided in 94% of the cases possible biomarkers for disease monitoring as well as potential diagnostic, prognostic, and predictive markers for future studies.
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Affiliation(s)
| | - Lone Schejbel
- Department of Pathology, Herlev-Gentofte Hospital, Herlev, Denmark
| | - Anne Ortved Gang
- Department of Hematology, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Torsten Holm Nielsen
- Department of Hematology, Rigshospitalet, Copenhagen, Denmark
- Danish Medicines Agency, Copenhagen, Denmark
| | - Lars Møller Pedersen
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Hematology, Zealand University Hospital, Roskilde, Denmark
| | - Estrid Høgdall
- Department of Pathology, Herlev-Gentofte Hospital, Herlev, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Peter Nørgaard
- Department of Pathology, Herlev-Gentofte Hospital, Herlev, Denmark
- Department of Pathology, Hvidovre Hospital, Hvidovre, Denmark
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Hui C, Mendoza MG, von Eyben R, Dorigo O, Litkouhi B, Renz M, Karam A, Hammer PM, Howitt BE, Kidd E. Does lymph node assessment change the prognostic significance of substantial LVSI and p53 status in endometrial endometrioid carcinoma? Gynecol Oncol 2023; 177:150-156. [PMID: 37696217 DOI: 10.1016/j.ygyno.2023.09.001] [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: 03/16/2023] [Revised: 09/01/2023] [Accepted: 09/04/2023] [Indexed: 09/13/2023]
Abstract
OBJECTIVE The PORTEC-2 update suggested that substantial lymphovascular space invasion (LVSI) and abnormal p53 expression (p53abnl) predict for poorer outcomes and that these patients should be treated with external beam radiation therapy (EBRT). We aim to determine if patients with these risk factors who undergo a lymph node (LN) assessment show similar outcomes. METHODS We retrospectively reviewed 126 patients with FIGO 2009 stage IA grade 3, stage IB grade 1-2, and stage IIIC (positive LN but no other stage II/III risk factors) endometrioid endometrial cancer who underwent LN assessment. Local (LR), regional recurrences (RR), and distant metastases were analyzed using competing risk methods, and overall survival (OS) was analyzed using Kaplan-Meier. RESULTS Median follow-up time was 37.2 months. OS was significantly different between patients with and without p53abnl expression (16.7% versus 3.1% deceased), and between patients with and without LVSI (11.1% versus 1.5% deceased; p < 0.01 for both). The 2-year cumulative incidence of LR for patients with p53abnl versus wild type p53 and LVSI versus no LVSI was 11.1% (95% CI 0-25.6) versus 2.2% (95% CI 0-5.25; p = 0.04), and 11.4% (95% CI 2.0-20.9) versus 0%, respectively (p < 0.01). The 2-year cumulative RR in patients with LVSI versus no LVSI was 6.9% (95% CI 0-14.4) versus 0% (p = 0.05). No patients who completed pelvic RT experienced an in-field recurrence. CONCLUSIONS Despite LN assessment, patients with high-intermediate risk early-stage or stage IIIC (with positive lymph nodes only but no other stage II or III risk factors) endometrial cancer with p53abnl expression and/or LVSI have worse outcomes. These patients may derive benefit from intensification with EBRT to improve local and pelvic control.
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Affiliation(s)
- Caressa Hui
- Department of Radiation Oncology, Stanford University, USA
| | | | - Rie von Eyben
- Department of Radiation Oncology, Stanford University, USA
| | - Oliver Dorigo
- Division Gynecologic Oncology, Stanford Department of Obstetrics and Gynecology, Stanford Women's Cancer Center and Stanford Cancer Institute, USA
| | - Babak Litkouhi
- Division Gynecologic Oncology, Stanford Department of Obstetrics and Gynecology, Stanford Women's Cancer Center and Stanford Cancer Institute, USA
| | - Malte Renz
- Division Gynecologic Oncology, Stanford Department of Obstetrics and Gynecology, Stanford Women's Cancer Center and Stanford Cancer Institute, USA
| | - Amer Karam
- Division Gynecologic Oncology, Stanford Department of Obstetrics and Gynecology, Stanford Women's Cancer Center and Stanford Cancer Institute, USA
| | | | | | - Elizabeth Kidd
- Department of Radiation Oncology, Stanford University, USA.
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Lin X, Zong C, Zhang Z, Fang W, Xu P. Progresses in biomarkers for cancer immunotherapy. MedComm (Beijing) 2023; 4:e387. [PMID: 37799808 PMCID: PMC10547938 DOI: 10.1002/mco2.387] [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: 04/07/2023] [Revised: 09/02/2023] [Accepted: 09/08/2023] [Indexed: 10/07/2023] Open
Abstract
Currently, checkpoint inhibitor-based immunotherapy has emerged as prevailing treatment modality for diverse cancers. However, immunotherapy as a first-line therapy has not consistently yielded durable responses. Moreover, the risk of immune-related adverse events increases with combination regimens. Thus, the development of predictive biomarkers is needed to optimize individuals benefit, minimize risk of toxicities, and guide combination approaches. The greatest focus has been on tumor programmed cell death-ligand 1 (PD-L1), microsatellite instability (MSI), and tumor mutational burden (TMB). However, there remains a subject of debate due to thresholds variability and significant heterogeneity. Major unmet challenges in immunotherapy are the discovery and validation of predictive biomarkers. Here, we show the status of tumor PD-L1, MSI, TMB, and emerging data on novel biomarker strategies with oncogenic signaling and epigenetic regulation. Considering the exploration of peripheral and intestinal immunity has served as noninvasive alternative in predicting immunotherapy, this review also summarizes current data in systemic immunity, encompassing solute PD-L1 and TMB, circulating tumor DNA and infiltrating lymphocytes, routine emerging inflammatory markers and cytokines, as well as gut microbiota. This review provides up-to-date information on the evolving field of currently available biomarkers in predicting immunotherapy. Future exploration of novel biomarkers is warranted.
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Affiliation(s)
- Xuwen Lin
- Department of Pulmonary and Critical Care MedicinePeking University Shenzhen HospitalShenzhenGuangdong ProvinceChina
- Department of Internal MedicineShantou University Medical CollegeShantouGuangdong ProvinceChina
| | - Chenyu Zong
- Department of Pulmonary and Critical Care MedicinePeking University Shenzhen HospitalShenzhenGuangdong ProvinceChina
- Department of Internal MedicineZunyi Medical UniversityZunyiGuizhou ProvinceChina
| | - Zhihan Zhang
- Department of Pulmonary and Critical Care MedicinePeking University Shenzhen HospitalShenzhenGuangdong ProvinceChina
| | - Weiyi Fang
- Cancer Research InstituteSchool of Basic Medical ScienceSouthern Medical UniversityGuangzhouGuangdong ProvinceChina
- Cancer CenterIntegrated Hospital of Traditional Chinese MedicineSouthern Medical UniversityGuangzhouGuangdong ProvinceChina
| | - Ping Xu
- Department of Pulmonary and Critical Care MedicinePeking University Shenzhen HospitalShenzhenGuangdong ProvinceChina
- Department of Internal MedicineZunyi Medical UniversityZunyiGuizhou ProvinceChina
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226
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Goetsch Weisman A, Weiss McQuaid S, Radtke HB, Stoll J, Brown B, Gomes A. Neurofibromatosis- and schwannomatosis-associated tumors: Approaches to genetic testing and counseling considerations. Am J Med Genet A 2023; 191:2467-2481. [PMID: 37485904 DOI: 10.1002/ajmg.a.63346] [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: 03/25/2023] [Revised: 05/26/2023] [Accepted: 06/24/2023] [Indexed: 07/25/2023]
Abstract
Neurofibromatosis (NF) and schwannomatosis (SWN) are genetic conditions characterized by the risk of developing nervous system tumors. Recently revised diagnostic criteria include the addition of genetic testing to confirm a pathogenic variant, as well as to detect the presence of mosaicism. Therefore, the use and interpretation of both germline and tumor-based testing have increasing importance in the diagnostic approach, treatment decisions, and risk stratification of these conditions. This focused review discusses approaches to genetic testing of NF- and SWN-related tumor types, which are somewhat rare and perhaps lesser known to non-specialized clinicians. These include gastrointestinal stromal tumors, breast cancer, plexiform neurofibromas with or without transformation to malignant peripheral nerve sheath tumors, gliomas, and schwannomas, and emphasizes the need for inclusion of genetic providers in patient care and appropriate pre- and post-test education, genetic counseling, and focused evaluation by a medical geneticist or other healthcare provider familiar with clinical manifestations of these disorders.
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Affiliation(s)
- Allison Goetsch Weisman
- Division of Genetics, Genomics and Metabolism, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Shelly Weiss McQuaid
- Division of Genetics, Genomics and Metabolism, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Division of Oncology, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
| | - Heather B Radtke
- Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Children's Tumor Foundation, New York, New York, USA
| | | | - Bryce Brown
- Medical Genomics Laboratory, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Alicia Gomes
- Medical Genomics Laboratory, University of Alabama at Birmingham, Birmingham, Alabama, USA
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Crowley HM, Georgantzoglou N, Tse JY, Williams EA, Mata DA, Martin SS, Guitart J, Bridge JA, Linos K. Expanding Our Knowledge of Molecular Pathogenesis in Histiocytoses: Solitary Soft Tissue Histiocytomas in Children With a Novel CLTC::SYK Fusion. Am J Surg Pathol 2023; 47:1108-1115. [PMID: 37522373 DOI: 10.1097/pas.0000000000002102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/01/2023]
Abstract
The histiocytoses comprise a histopathologically and clinically diverse group of disorders bearing recurrent genomic alterations, commonly involving the BRAF gene and mitogen-activated protein kinase pathway. In the current study, a novel CLTC :: SYK fusion in 3 cases of a histopathologically distinct histiocytic neoplasm arising as solitary soft tissue lesions in children identified by next-generation sequencing and fluorescence in situ hybridization is described. Morphologically, all 3 neoplasms were composed of sheets of cells with round-oval nuclei and vacuolated eosinophilic cytoplasm but, in contrast to classic juvenile xanthogranuloma (JXG), Touton giant cells were absent. A separate cohort of classic JXG cases subsequently profiled by fluorescence in situ hybridization were negative for the presence of a CLTC::SYK fusion suggesting that CLTC::SYK fusion-positive histiocytoma is genetically and histologically distinct from JXG. We postulate that the CLTC::SYK fusion leads to aberrant activation of the SYK kinase, which is involved in variable pathways, including mitogen-activated protein kinase. The identification of a novel CLTC::SYK fusion may pave the way for the development of targeted therapeutic options for aggressive disease.
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Affiliation(s)
- Helena M Crowley
- Division of Pediatric Surgery and Urology, University of Maryland Children's Hospital
| | - Natalia Georgantzoglou
- Department of Pathology and Laboratory Medicine, Dartmouth Hitchcock Medical Center, Lebanon, NH
| | | | | | | | - Stuart S Martin
- Department of Pharmacology and Physiology, University of Maryland School of Medicine, Baltimore, MD
| | - Joan Guitart
- Department of Dermatology, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Julia A Bridge
- Division of Molecular Pathology, ProPath, Dallas, TX
- Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE
| | - Konstantinos Linos
- Department of Pathology & Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
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Zhu JW, Wong F, Szymiczek A, Ene GEV, Zhang S, May T, Narod SA, Kotsopoulos J, Akbari MR. Evaluating the Utility of ctDNA in Detecting Residual Cancer and Predicting Recurrence in Patients with Serous Ovarian Cancer. Int J Mol Sci 2023; 24:14388. [PMID: 37762691 PMCID: PMC10532395 DOI: 10.3390/ijms241814388] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 09/11/2023] [Accepted: 09/18/2023] [Indexed: 09/29/2023] Open
Abstract
Ovarian cancer has a high case fatality rate, but patients who have no visible residual disease after surgery have a relatively good prognosis. The presence of any cancer cells left in the peritoneal cavity after treatment may precipitate a cancer recurrence. In many cases, these cells are occult and are not visible to the surgeon. Analysis of circulating tumour DNA in the blood (ctDNA) may offer a sensitive method to predict the presence of occult (non-visible) residual disease after surgery and may help predict disease recurrence. We assessed 48 women diagnosed with serous ovarian cancer (47 high-grade and 1 low-grade) for visible residual disease and for ctDNA. Plasma, formalin-fixed paraffin-embedded (FFPE) tumour tissue and white blood cells were used to extract circulating free DNA (cfDNA), tumour DNA and germline DNA, respectively. We sequenced DNA samples for 59 breast and ovarian cancer driver genes. The plasma sample was collected after surgery and before initiating chemotherapy. We compared survival in women with no residual disease, with and without a positive plasma ctDNA test. We found tumour-specific variants (TSVs) in cancer cells from 47 patients, and these variants were sought in ctDNA in their post-surgery plasma. Fifteen (31.9%) of the 47 patients had visible residual disease; of these, all 15 had detectable ctDNA. Thirty-one patients (65.9%) had no visible residual disease; of these, 24 (77.4%) patients had detectable ctDNA. Of the patients with no visible residual disease, those patients with detectable ctDNA had higher mortality (20 of 27 died) than those without detectable ctDNA (3 of 7 died) (HR 2.32; 95% CI: 0.67-8.05), although this difference was not statistically significant (p = 0.18). ctDNA in post-surgical serum samples may predict the presence of microscopic residual disease and may be a predictor of recurrence among women with ovarian cancer. Larger studies are necessary to validate these findings.
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Affiliation(s)
- Jie Wei Zhu
- Women’s College Research Institute, Women’s College Hospital, University of Toronto, Toronto, ON M5S 1B2, Canada
- Department of Medicine, McMaster University, Hamilton, ON L8P 1H6, Canada
| | - Fabian Wong
- Women’s College Research Institute, Women’s College Hospital, University of Toronto, Toronto, ON M5S 1B2, Canada
- Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Agata Szymiczek
- Women’s College Research Institute, Women’s College Hospital, University of Toronto, Toronto, ON M5S 1B2, Canada
| | - Gabrielle E. V. Ene
- Division of Gynecologic Oncology, Department of Surgical Oncology, Princess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2M9, Canada
| | - Shiyu Zhang
- Women’s College Research Institute, Women’s College Hospital, University of Toronto, Toronto, ON M5S 1B2, Canada
| | - Taymaa May
- Division of Gynecologic Oncology, Department of Surgical Oncology, Princess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2M9, Canada
- Division of Gynecologic Oncology, Department of Obstetric and Gynecology, University of Toronto, Toronto, ON M5G 2C4, Canada
| | - Steven A. Narod
- Women’s College Research Institute, Women’s College Hospital, University of Toronto, Toronto, ON M5S 1B2, Canada
- Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada
| | - Joanne Kotsopoulos
- Women’s College Research Institute, Women’s College Hospital, University of Toronto, Toronto, ON M5S 1B2, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada
| | - Mohammad R. Akbari
- Women’s College Research Institute, Women’s College Hospital, University of Toronto, Toronto, ON M5S 1B2, Canada
- Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada
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Mroczkowska-Bękarciak A, Wróbel T. BCR::ABL1-negative myeloproliferative neoplasms in the era of next-generation sequencing. Front Genet 2023; 14:1241912. [PMID: 37745842 PMCID: PMC10514516 DOI: 10.3389/fgene.2023.1241912] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Accepted: 08/22/2023] [Indexed: 09/26/2023] Open
Abstract
The classical BCR::ABL1-negative myeloproliferative neoplasms such as polycythemia vera (PV), essential thrombocythemia (ET), and myelofibrosis (MF) are clonal diseases with the presence of characteristic "driver mutations" in one of the genes: JAK2, CALR, or MPL. The search for mutations in these three genes is required for the diagnosis of MPNs. Nevertheless, the progress that has been made in the field of molecular genetics has opened a new era in medicine. The search for additional mutations in MPNs is helpful in assessing the risk stratification, disease progression, transformation to acute myeloid leukemia (AML), or choosing the right treatment. In some cases, advanced technologies are needed to find a clonal marker of the disease and establish a diagnosis. This review focuses on how the use of new technologies like next-generation sequencing (NGS) helps in the diagnosis of BCR::ABL1-negative myeloproliferative neoplasms.
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Chi YI, Jorge SD, Jensen DR, Smith BC, Volkman BF, Mathison AJ, Lomberk G, Zimmermann MT, Urrutia R. A Multi-Layered Computational Structural Genomics Approach Enhances Domain-Specific Interpretation of Kleefstra Syndrome Variants in EHMT1. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.06.556558. [PMID: 37786696 PMCID: PMC10541560 DOI: 10.1101/2023.09.06.556558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
This study investigates the functional significance of assorted variants of uncertain significance (VUS) in euchromatic histone lysine methyltransferase 1 (EHMT1), which is critical for early development and normal physiology. EHMT1 mutations cause Kleefstra syndrome and are linked to various human cancers. However, accurate functional interpretation of these variants are yet to be made, limiting diagnoses and future research. To overcome this, we integrate conventional tools for variant calling with computational biophysics and biochemistry to conduct multi-layered mechanistic analyses of the SET catalytic domain of EHMT1, which is critical for this protein function. We use molecular mechanics and molecular dynamics (MD)-based metrics to analyze the SET domain structure and functional motions resulting from 97 Kleefstra syndrome missense variants within this domain. Our approach allows us to classify the variants in a mechanistic manner into SV (Structural Variant), DV (Dynamic Variant), SDV (Structural and Dynamic Variant), and VUS (Variant of Uncertain Significance). Our findings reveal that the damaging variants are mostly mapped around the active site, substrate binding site, and pre-SET regions. Overall, we report an improvement for this method over conventional tools for variant interpretation and simultaneously provide a molecular mechanism of variant dysfunction.
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Bukłaho PA, Kiśluk J, Nikliński J. Diagnostics and treatment of ovarian cancer in the era of precision medicine - opportunities and challenges. Front Oncol 2023; 13:1227657. [PMID: 37746296 PMCID: PMC10516548 DOI: 10.3389/fonc.2023.1227657] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 08/21/2023] [Indexed: 09/26/2023] Open
Abstract
Due to predictions of increasing incidences and deaths from ovarian cancer, this neoplasm is a challenge for modern health care. The advent of NGS technology has made it possible to understand the molecular characteristics of many cancers, including ovarian cancer. The data obtained in research became the basis for the development of molecularly targeted therapies thus leading to the entry of NGS analysis into the diagnostic process of oncological patients. This review presents targeted therapies currently in preclinical or clinical trials, whose promising results offer hope for their use in clinical practice in the future. As more therapeutic options emerge, it will be necessary to modify molecular diagnostic regimens to select the best treatment for a given patient. New biomarkers are needed to predict the success of planned therapy. An important aspect of public health is molecular testing in women with a familial predisposition to ovarian cancer enabling patients to be included in prevention programs. NGS technology, despite its high throughput, poses many challenges, from the quality of the diagnostic material used for testing to the interpretation of results and classification of sequence variants. The article highlights the role of molecular testing in ongoing research and also its role in the diagnostic and therapeutic process in the era of personalized medicine. The spread of genetic testing in high-risk groups, the introduction of more targeted therapies and also the possibility of agnostic therapies could significantly improve the health situation for many women worldwide.
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Affiliation(s)
- Patrycja Aleksandra Bukłaho
- Department of Clinical Molecular Biology, Medical University of Bialystok, Bialystok, Poland
- Doctoral School, Medical University of Bialystok, Bialystok, Poland
| | - Joanna Kiśluk
- Department of Clinical Molecular Biology, Medical University of Bialystok, Bialystok, Poland
| | - Jacek Nikliński
- Department of Clinical Molecular Biology, Medical University of Bialystok, Bialystok, Poland
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Schieffer KM, Moccia A, Bucknor BA, Stonerock E, Jayaraman V, Jenkins H, McKinney A, Koo SC, Mathew MT, Mardis ER, Lee K, Reshmi SC, Cottrell CE. Expanding the Clinical Utility of Targeted RNA Sequencing Panels beyond Gene Fusions to Complex, Intragenic Structural Rearrangements. Cancers (Basel) 2023; 15:4394. [PMID: 37686670 PMCID: PMC10486946 DOI: 10.3390/cancers15174394] [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: 07/31/2023] [Revised: 08/29/2023] [Accepted: 08/31/2023] [Indexed: 09/10/2023] Open
Abstract
Gene fusions are a form of structural rearrangement well established as driver events in pediatric and adult cancers. The identification of such events holds clinical significance in the refinement, prognostication, and provision of treatment in cancer. Structural rearrangements also extend beyond fusions to include intragenic rearrangements, such as internal tandem duplications (ITDs) or exon-level deletions. These intragenic events have been increasingly implicated as cancer-promoting events. However, the detection of intragenic rearrangements may be challenging to resolve bioinformatically with short-read sequencing technologies and therefore may not be routinely assessed in panel-based testing. Within an academic clinical laboratory, over three years, a total of 608 disease-involved samples (522 hematologic malignancy, 86 solid tumors) underwent clinical testing using Anchored Multiplex PCR (AMP)-based RNA sequencing. Hematologic malignancies were evaluated using a custom Pan-Heme 154 gene panel, while solid tumors were assessed using a custom Pan-Solid 115 gene panel. Gene fusions, ITDs, and intragenic deletions were assessed for diagnostic, prognostic, or therapeutic significance. When considering gene fusions alone, we report an overall diagnostic yield of 36% (37% hematologic malignancy, 41% solid tumors). When including intragenic structural rearrangements, the overall diagnostic yield increased to 48% (48% hematologic malignancy, 45% solid tumor). We demonstrate the clinical utility of reporting structural rearrangements, including gene fusions and intragenic structural rearrangements, using an AMP-based RNA sequencing panel.
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Affiliation(s)
- Kathleen M. Schieffer
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH 43215, USA
- Department of Pathology, The Ohio State University, Columbus, OH 43210, USA
- Department of Pediatrics, The Ohio State University, Columbus, OH 43210, USA
| | - Amanda Moccia
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH 43215, USA
| | - Brianna A. Bucknor
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH 43215, USA
| | - Eileen Stonerock
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH 43215, USA
| | - Vijayakumar Jayaraman
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH 43215, USA
| | - Heather Jenkins
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH 43215, USA
| | - Aimee McKinney
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH 43215, USA
| | - Selene C. Koo
- Department of Pathology, The Ohio State University, Columbus, OH 43210, USA
- Department of Pathology and Laboratory Medicine, Nationwide Children’s Hospital, Columbus, OH 43205, USA
| | - Mariam T. Mathew
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH 43215, USA
- Department of Pathology, The Ohio State University, Columbus, OH 43210, USA
- Department of Pediatrics, The Ohio State University, Columbus, OH 43210, USA
| | - Elaine R. Mardis
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH 43215, USA
- Department of Pediatrics, The Ohio State University, Columbus, OH 43210, USA
| | - Kristy Lee
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH 43215, USA
- Department of Pathology, The Ohio State University, Columbus, OH 43210, USA
- Department of Pediatrics, The Ohio State University, Columbus, OH 43210, USA
| | - Shalini C. Reshmi
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH 43215, USA
- Department of Pathology, The Ohio State University, Columbus, OH 43210, USA
- Department of Pediatrics, The Ohio State University, Columbus, OH 43210, USA
| | - Catherine E. Cottrell
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH 43215, USA
- Department of Pathology, The Ohio State University, Columbus, OH 43210, USA
- Department of Pediatrics, The Ohio State University, Columbus, OH 43210, USA
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233
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Shanmuganathan N, Wadham C, Shahrin N, Feng J, Thomson D, Wang P, Saunders V, Kok CH, King RM, Kenyon RR, Lin M, Pagani IS, Ross DM, Yong ASM, Grigg AP, Mills AK, Schwarer AP, Braley J, Altamura H, Yeung DT, Scott HS, Schreiber AW, Hughes TP, Branford S. Impact of additional genetic abnormalities at diagnosis of chronic myeloid leukemia for first-line imatinib-treated patients receiving proactive treatment intervention. Haematologica 2023; 108:2380-2395. [PMID: 36951160 PMCID: PMC10483360 DOI: 10.3324/haematol.2022.282184] [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: 10/06/2022] [Accepted: 03/16/2023] [Indexed: 03/24/2023] Open
Abstract
The BCR::ABL1 gene fusion initiates chronic myeloid leukemia (CML); however, evidence has accumulated from studies of highly selected cohorts that variants in other cancer-related genes are associated with treatment failure. Nevertheless, the true incidence and impact of additional genetic abnormalities (AGA) at diagnosis of chronic phase (CP)-CML is unknown. We sought to determine whether AGA at diagnosis in a consecutive imatinib-treated cohort of 210 patients enrolled in the TIDEL-II trial influenced outcome despite a highly proactive treatment intervention strategy. Survival outcomes including overall survival, progression-free survival, failure-free survival, and BCR::ABL1 kinase domain mutation acquisition were evaluated. Molecular outcomes were measured at a central laboratory and included major molecular response (MMR, BCR::ABL1 ≤0.1%IS), MR4 (BCR::ABL1 ≤0.01%IS), and MR4.5 (BCR::ABL1 ≤0.0032%IS). AGA included variants in known cancer genes and novel rearrangements involving the formation of the Philadelphia chromosome. Clinical outcomes and molecular response were assessed based on the patient's genetic profile and other baseline factors. AGA were identified in 31% of patients. Potentially pathogenic variants in cancer-related genes were detected in 16% of patients at diagnosis (including gene fusions and deletions) and structural rearrangements involving the Philadelphia chromosome (Ph-associated rearrangements) were detected in 18%. Multivariable analysis demonstrated that the combined genetic abnormalities plus the EUTOS long-term survival clinical risk score were independent predictors of lower molecular response rates and higher treatment failure. Despite a highly proactive treatment intervention strategy, first-line imatinib-treated patients with AGA had poorer response rates. These data provide evidence for the incorporation of genomically-based risk assessment for CML.
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MESH Headings
- Humans
- Imatinib Mesylate/therapeutic use
- Antineoplastic Agents/therapeutic use
- Philadelphia Chromosome
- Fusion Proteins, bcr-abl/genetics
- Fusion Proteins, bcr-abl/metabolism
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/diagnosis
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/genetics
- Leukemia, Myeloid, Chronic-Phase/drug therapy
- Protein Kinase Inhibitors/therapeutic use
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Affiliation(s)
- Naranie Shanmuganathan
- Department of Hematology, Royal Adelaide Hospital and SA Pathology, Adelaide, Australia; Department of Genetics and Molecular Pathology, SA Pathology, Adelaide, Australia; Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, Australia; Precision Cancer Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia; Clinical and Health Sciences, University of South Australia, Adelaide, Australia; Adelaide Medical School, University of Adelaide, Adelaide, Australia; Australasian Leukemia and Lymphoma Group (ALLG).
| | - Carol Wadham
- Department of Genetics and Molecular Pathology, SA Pathology, Adelaide, Australia; Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, Australia; Clinical and Health Sciences, University of South Australia, Adelaide
| | - NurHezrin Shahrin
- Department of Genetics and Molecular Pathology, SA Pathology, Adelaide, Australia; Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide
| | - Jinghua Feng
- Clinical and Health Sciences, University of South Australia, Adelaide, Australia; Australian Cancer Research Foundation Genomics Facility, Centre for Cancer Biology, SA Pathology, Adelaide
| | - Daniel Thomson
- Department of Genetics and Molecular Pathology, SA Pathology, Adelaide, Australia; Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide
| | - Paul Wang
- Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, Australia; Australian Cancer Research Foundation Genomics Facility, Centre for Cancer Biology, SA Pathology, Adelaide
| | - Verity Saunders
- Precision Cancer Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide
| | - Chung Hoow Kok
- Precision Cancer Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia; Clinical and Health Sciences, University of South Australia, Adelaide, Australia; Adelaide Medical School, University of Adelaide, Adelaide
| | - Rob M King
- Australian Cancer Research Foundation Genomics Facility, Centre for Cancer Biology, SA Pathology, Adelaide
| | - Rosalie R Kenyon
- Australian Cancer Research Foundation Genomics Facility, Centre for Cancer Biology, SA Pathology, Adelaide
| | - Ming Lin
- Australian Cancer Research Foundation Genomics Facility, Centre for Cancer Biology, SA Pathology, Adelaide
| | - Ilaria S Pagani
- Precision Cancer Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia; Adelaide Medical School, University of Adelaide, Adelaide, Australia; Australasian Leukemia and Lymphoma Group (ALLG)
| | - David M Ross
- Department of Hematology, Royal Adelaide Hospital and SA Pathology, Adelaide, Australia; Department of Genetics and Molecular Pathology, SA Pathology, Adelaide, Australia; Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, Australia; Precision Cancer Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia; Australasian Leukemia and Lymphoma Group (ALLG); Department of Hematology, Flinders University and Medical Centre, Adelaide
| | - Agnes S M Yong
- Precision Cancer Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia; Adelaide Medical School, University of Adelaide, Adelaide, Australia; Australasian Leukemia and Lymphoma Group (ALLG); The University of Western Australia Medical School, Western Australia
| | - Andrew P Grigg
- Australasian Leukemia and Lymphoma Group (ALLG); Department of Clinical Hematology, Austin Hospital and University of Melbourne, Melbourne
| | - Anthony K Mills
- Australasian Leukemia and Lymphoma Group (ALLG); Department of Hematology, Princess Alexandra Hospital, Brisbane
| | - Anthony P Schwarer
- Australasian Leukemia and Lymphoma Group (ALLG); Department of Hematology, Box Hill Hospital, Melbourne
| | - Jodi Braley
- Department of Genetics and Molecular Pathology, SA Pathology, Adelaide
| | - Haley Altamura
- Department of Genetics and Molecular Pathology, SA Pathology, Adelaide
| | - David T Yeung
- Department of Hematology, Royal Adelaide Hospital and SA Pathology, Adelaide, Australia; Precision Cancer Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia; Clinical and Health Sciences, University of South Australia, Adelaide, Australia; Adelaide Medical School, University of Adelaide, Adelaide, Australia; Australasian Leukemia and Lymphoma Group (ALLG)
| | - Hamish S Scott
- Department of Genetics and Molecular Pathology, SA Pathology, Adelaide, Australia; Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, Australia; Clinical and Health Sciences, University of South Australia, Adelaide, Australia; Adelaide Medical School, University of Adelaide, Adelaide, Australia; Australian Cancer Research Foundation Genomics Facility, Centre for Cancer Biology, SA Pathology, Adelaide
| | - Andreas W Schreiber
- Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, Australia; Australian Cancer Research Foundation Genomics Facility, Centre for Cancer Biology, SA Pathology, Adelaide, Australia; School of Biological Sciences, University of Adelaide, Adelaide
| | - Timothy P Hughes
- Department of Hematology, Royal Adelaide Hospital and SA Pathology, Adelaide, Australia; Precision Cancer Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia; Adelaide Medical School, University of Adelaide, Adelaide, Australia; Australasian Leukemia and Lymphoma Group (ALLG)
| | - Susan Branford
- Department of Genetics and Molecular Pathology, SA Pathology, Adelaide, Australia; Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, Australia; Precision Cancer Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia; Clinical and Health Sciences, University of South Australia, Adelaide, Australia; Adelaide Medical School, University of Adelaide, Adelaide
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234
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Cufer T, Kosty MP. ESMO/ASCO Recommendations for a Global Curriculum in Medical Oncology Edition 2023. JCO Glob Oncol 2023; 9:e2300277. [PMID: 37867478 PMCID: PMC10664856 DOI: 10.1200/go.23.00277] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 08/24/2023] [Indexed: 10/24/2023] Open
Abstract
The European Society for Medical Oncology (ESMO) and ASCO are publishing a new edition of the ESMO/ASCO Global Curriculum (GC) with contributions from more than 150 authors. The purpose of the GC is to provide recommendations for the training of physicians in medical oncology and to establish a set of educational standards for trainees to qualify as medical oncologists. This edition builds on prior ones in 2004, 2010, and 2016 and incorporates scientific advances and input from an ESMO ASCO survey on GC adoption conducted in 2019, which revealed that GC has been adopted or adapted in as many as two thirds of the countries surveyed. To make GC even more useful and applicable, certain subchapters were rearranged into stand-alone chapters, that is, cancer epidemiology, diagnostics, and research. In line with recent progress in the field of multidisciplinary cancer care new (sub)chapters, such as image-guided therapy, cell-based therapy, and nutritional support, were added. Moreover, this edition includes an entirely new chapter dedicated to cancer control principles, aiming to ensure that medical oncologists are able to identify and implement sustainable and equitable cancer care, tailored to local needs and resources. Besides content renewal, modern didactic principles were introduced. GC content is presented using two chapter templates (cancer-specific and non-cancer-specific), with three didactic points (objectives, key concepts, and skills). The next step is promoting GC as a contemporary and comprehensive document applicable all over the world, particularly due to its capacity to harmonize education in medical oncology and, in so doing, help to reduce global disparities in cancer care.
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Affiliation(s)
- Tanja Cufer
- Medical Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Michael P. Kosty
- Division of Hematology and Oncology, Scripps MD Anderson Cancer Center, La Jolla, CA
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235
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Hersby DS, Schejbel L, Breinholt MF, Høgdall E, Nørgaard P, Dencker D, Nielsen TH, Pedersen LM, Gang AO. Multi-site pre-therapeutic biopsies demonstrate genetic heterogeneity in patients with newly diagnosed diffuse large B-cell lymphoma. Leuk Lymphoma 2023; 64:1527-1535. [PMID: 37328933 DOI: 10.1080/10428194.2023.2220454] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 05/23/2023] [Accepted: 05/26/2023] [Indexed: 06/18/2023]
Abstract
Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease, both regarding clinical presentation, response to treatment and outcome. Recently, subclassification of DLBCL based on mutational profile has been suggested, and next generation sequencing (NGS) analysis may be relevant as part of the diagnostic workflow. This will, however, often be based on analysis of one tumor biopsy. Here, we present a prospective study where multi-site sampling was performed prior to treatment in patients with newly diagnosed DLBCL. Two spatially different biopsies from 16 patients were analyzed using NGS with an in-house 59-gene lymphoma panel. In 8/16 (50%) patients, mutational differences were found between the two biopsy sites, including differences in TP53 mutational status. Our data indicate that a biopsy from the extra-nodal site may represent the most advanced clone, and an extra-nodal biopsy should be preferred for analysis, if safely accessible. This will help ensure a standardized stratification and treatment decision.
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Affiliation(s)
| | - Lone Schejbel
- Department of Pathology, Herlev Hospital, Copenhagen University Hospital, Herlev, Denmark
| | | | - Estrid Høgdall
- Department of Pathology, Herlev Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Peter Nørgaard
- Department of Pathology, Hvidovre Hospitalet, Hvidovre, Denmark
| | - Ditte Dencker
- Department of Radiology, Rigshospitalet, Copenhagen, Denmark
| | - Torsten Holm Nielsen
- Department of Hematology, Rigshospitalet, Copenhagen, Denmark
- Danish Medicines Agency, Copenhagen, Denmark
| | - Lars Møller Pedersen
- Department of Hematology, Zealand Hospital, Roskilde, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Anne Ortved Gang
- Department of Hematology, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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236
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Rao X, Chen Y, Beyrer J, Nash Smyth E, Morato Guimaraes C, Litchfield LM, Bowman L, Lawrence GW, Aggarwal A, Andre F. Clinical and Genomic Characteristics of Patients with Hormone Receptor-Positive, Human Epidermal Growth Factor Receptor 2-Negative Metastatic Breast Cancer Following Progression on Cyclin-Dependent Kinase 4 and 6 Inhibitors. Clin Cancer Res 2023; 29:3372-3383. [PMID: 37289194 PMCID: PMC10472108 DOI: 10.1158/1078-0432.ccr-22-3843] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 03/14/2023] [Accepted: 06/06/2023] [Indexed: 06/09/2023]
Abstract
PURPOSE We explored the clinical and genomic characteristics of hormone receptor-positive (HR+), HER2-negative (HER2-) metastatic breast cancer (MBC) after progression on cyclin-dependent kinase 4 and 6 inhibitors (CDK4 and 6i) ± endocrine therapy (ET) to understand potential resistance mechanisms that may aid in identifying treatment options. EXPERIMENTAL DESIGN Patients in the United States with HR+, HER2- MBC had tumor biopsies collected from a metastatic site during routine care following progression on a CDK4 and 6i ± ET (CohortPost) or prior to initiating CDK4 and 6i treatment (CohortPre) and analyzed using a targeted mutation panel and RNA-sequencing. Clinical and genomic characteristics were described. RESULTS The mean age at MBC diagnosis was 59 years in CohortPre (n = 133) and 56 years in CohortPost (n = 223); 14% and 45% of patients had prior chemotherapy/ET, and 35% and 26% had de novo stage IV MBC, respectively. The most common biopsy site was liver (CohortPre, 23%; CohortPost, 56%). CohortPost had significantly higher tumor mutational burden (TMB; median 3.16 vs. 1.67 Mut/Mb, P < 0.0001), ESR1 alteration frequency (mutations: 37% vs. 10%, FDR < 0.0001; fusions: 9% vs. 2%, P = 0.0176), and higher copy-number amplification of genes on chr12q15, including MDM2, FRS2, and YEATS4 versus patients in the CohortPre group. In addition, CDK4 copy-number gain on chr12q13 was significantly higher in CohortPost versus CohortPre (27% vs. 11%, P = 0.0005). CONCLUSIONS Distinct mechanisms potentially associated with resistance to CDK4 and 6i ± ET, including alterations in ESR1 and amplification of chr12q15 and CDK4 copy-number gain, were identified.
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Affiliation(s)
- Xi Rao
- Eli Lilly and Company, Indianapolis, Indiana
| | | | | | | | | | | | - Lee Bowman
- Eli Lilly and Company, Indianapolis, Indiana
| | | | | | - Fabrice Andre
- Université Paris Sud, Orsay, France
- Inserm, Gustave Roussy Cancer Campus, UMR981, Villejuif, France
- Department of Medical Oncology, Gustave Roussy, Villejuif, France
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237
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Shin M, Ahn S, Jung J, Hyung S, Kim K, Kim ST, Kang WK, Lee J. Impact of programmed death-ligand 1 (PD-L1) positivity on clinical and molecular features of patients with metastatic gastric cancer. Cancer Med 2023; 12:18633-18642. [PMID: 37654198 PMCID: PMC10557860 DOI: 10.1002/cam4.6472] [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: 04/14/2023] [Revised: 07/13/2023] [Accepted: 08/11/2023] [Indexed: 09/02/2023] Open
Abstract
BACKGROUND Programmed death-ligand 1 (PD-L1) is an important screening biomarker to select patients with gastric cancer (GC) for optimized treatment, including immune checkpoint inhibitors (ICI). METHODS In this single-institution retrospective cohort study, patients with metastatic GC with available PD-L1 results between October 2019 and September 2021 were identified by reviewing their electronic medical records. Genomic data were obtained from the Samsung Medical Center Clinical Sequencing Platform. RESULTS Among the 399 patients, 276 (69%) had a PD-L1 combined positive score (CPS) ≥1, 155 (39%) had a CPS between 1 and 5, and 121 (30%) had a CPS ≥5. Of the 121 patients with CPS ≥5, 28 (23%) had a known etiology for "inflamed tumor," with Epstein-Barr virus (EBV) positivity (N = 11) or high tumor mutational burden (TMB) (N = 17), which included microsatellite instability (MSI) (N = 9). PD-L1 CPS ≥5 was observed in 11/11 (100%) patients with EBV positivity, 9/12 (75%) patients with MSI, and 17/33 (52%) patients with high TMB. For the 108 patients who received ICI therapy, CPS ≥5 was the only predictor significantly associated with survival in multivariable analyses, including TMB, MSI, or EBV. Objective response rate (ORR) was 49% in patients with CPS ≥5, 30% in patients with 1 ≤ CPS <5, and 19% in patients with CPS <1. Among the 31 responders to ICI therapy, 27 (87%) had a CPS of ≥1. Mutations in TET2, IRS2, DOT1L, PTPRT, and LRP1B were associated with a higher ORR (63%-100%), whereas MDC1 mutations were associated with a low ORR (22%). CONCLUSIONS PD-L1 expression is an independent and sensitive biomarker for ICI therapy. Considering its significant association with several gene alterations, including PIK3CA mutations and MET amplification, combining ICI therapy with other targeted agents may be a promising therapeutic strategy for GC.
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Affiliation(s)
- Minkyue Shin
- Division of Hematology‐Oncology, Department of MedicineSungkyunkwan University School of Medicine, Samsung Medical CenterSeoulSouth Korea
| | - Soomin Ahn
- Department of Pathology and Translational GenomicsSungkyunkwan University School of Medicine, Samsung Medical CenterSeoulSouth Korea
| | - Jaeyun Jung
- Innovative Institute for Precision Medicine, Samsung Medical CenterSeoulSouth Korea
| | - Sujin Hyung
- Innovative Institute for Precision Medicine, Samsung Medical CenterSeoulSouth Korea
| | - Kyoung‐Mee Kim
- Department of Pathology and Translational GenomicsSungkyunkwan University School of Medicine, Samsung Medical CenterSeoulSouth Korea
| | - Seung Tae Kim
- Division of Hematology‐Oncology, Department of MedicineSungkyunkwan University School of Medicine, Samsung Medical CenterSeoulSouth Korea
| | - Won Ki Kang
- Division of Hematology‐Oncology, Department of MedicineSungkyunkwan University School of Medicine, Samsung Medical CenterSeoulSouth Korea
| | - Jeeyun Lee
- Division of Hematology‐Oncology, Department of MedicineSungkyunkwan University School of Medicine, Samsung Medical CenterSeoulSouth Korea
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238
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Doroshow DB, Wei W, Mehrotra M, Sia D, Eder JP, Bindra R, Houldsworth J, LoRusso P, Walther Z. Platinum Sensitivity in IDH1/2 Mutated Intrahepatic Cholangiocarcinoma: Not All "BRCAness" Is Created Equal. Cancer Invest 2023; 41:646-655. [PMID: 37505929 DOI: 10.1080/07357907.2023.2242957] [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: 04/09/2023] [Revised: 05/22/2023] [Accepted: 07/27/2023] [Indexed: 07/30/2023]
Abstract
Preclinical data suggest that IDH1/2 mutations result in defective homologous recombination repair (HRR). We hypothesized that patients with IDH1/2mt intrahepatic cholangiocarcinoma (IHCC) would benefit more from 1 L platinum chemotherapy than patients with wildtype (WT) tumors. We performed a multicenter retrospective study of 81 patients with unresectable IHCC treated with 1 L platinum with a primary endpoint of clinical benefit rate (CBR). Patients with IDH1/2mt tumors had a similar CBR and objective response rate compared to those with IDH WT disease (59 versus 54%; p = 0.803), suggesting that a relationship between platinum sensitivity and HRR gene defects may be specific to tumor context.
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Affiliation(s)
| | - Wei Wei
- Yale School of Public Health, New Haven, CT, USA
| | | | - Daniella Sia
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Joseph Paul Eder
- Yale School of Medicine, New Haven, CT, USA
- Yale Cancer Center, New Haven, CT, USA
| | | | | | - Patricia LoRusso
- Yale School of Medicine, New Haven, CT, USA
- Yale Cancer Center, New Haven, CT, USA
| | - Zenta Walther
- Yale School of Medicine, New Haven, CT, USA
- Yale Cancer Center, New Haven, CT, USA
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239
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Al-Kafaji G, Jassim G, AlHajeri A, Alawadhi AMT, Fida M, Sahin I, Alali F, Fadel E. Investigation of germline variants in Bahraini women with breast cancer using next-generation sequencing based-multigene panel. PLoS One 2023; 18:e0291015. [PMID: 37656691 PMCID: PMC10473515 DOI: 10.1371/journal.pone.0291015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 08/20/2023] [Indexed: 09/03/2023] Open
Abstract
Germline variants in BRCA1 and BRCA2 (BRCA1/2) genes are the most common cause of hereditary breast cancer. However, a significant number of cases are not linked to these two genes and additional high-, moderate- and low-penetrance genes have been identified in breast cancer. The advent of next-generation sequencing (NGS) allowed simultaneous sequencing of multiple cancer-susceptibility genes and prompted research in this field. So far, cancer-predisposition genes other than BRCA1/2 have not been studied in the population of Bahrain. We performed a targeted NGS using a multi-panel covering 180 genes associated with cancer predisposition to investigate the spectrum and frequency of germline variants in 54 women with a positive personal and/or family history of breast cancer. Sequencing analysis revealed germline variants in 29 (53.7%) patients. Five pathogenic/likely pathogenic variants in four DNA repair pathway-related genes were identified in five unrelated patients (9.3%). Two BRCA1 variants, namely the missense variant c.287A>G (p.Asp96Gly) and the truncating variant c.1066C>T (p.Gln356Ter), were detected in two patients (3.7%). Three variants in non-BRCA1/2 genes were detected in three patients (1.85% each) with a strong family history of breast cancer. These included a monoallelic missense variant c.1187G>A (p.Gly396Asp) in MUTYH gene, and two truncating variants namely c.3343C>T (p.Arg1115Ter) in MLH3 gene and c.1826G>A (p.Trp609Ter) in PMS1 gene. Other variants of uncertain significance (VUS) were also detected, and some of them were found together with the deleterious variants. In this first application of NGS-based multigene testing in Bahraini women with breast cancer, we show that multigene testing can yield additional genomic information on low-penetrance genes, although the clinical significance of these genes has not been fully appreciated yet. Our findings also provide valuable epidemiological information for future studies and highlight the importance of genetic testing, and an NGS-based multigene analysis may be applied supplementary to traditional genetic counseling.
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Affiliation(s)
- Ghada Al-Kafaji
- Department of Molecular Medicine and Al-Jawhara Centre for Molecular Medicine, Genetics, and Inherited Disorders, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Kingdom of Bahrain
| | - Ghufran Jassim
- Department of Family Medicine, Royal College of Surgeons in Ireland-Bahrain, Manama, Kingdom of Bahrain
| | - Amani AlHajeri
- Department of Genetics, Salmaniya Medical Complex, Manama, Kingdom of Bahrain
| | | | - Mariam Fida
- Bahrain Oncology Center, King Hamad University Hospital, Manama, Kingdom of Bahrain
| | - Ibrahim Sahin
- Department of Molecular Medicine and Al-Jawhara Centre for Molecular Medicine, Genetics, and Inherited Disorders, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Kingdom of Bahrain
| | - Faisal Alali
- North western Hospital, Chicago Medical School, North Chicago, Illinois, United States of America
| | - Elias Fadel
- Bahrain Oncology Center, King Hamad University Hospital, Manama, Kingdom of Bahrain
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Lin Y, Luo S, Luo M, Lu X, Li Q, Xie M, Huang Y, Liao X, Zhang Y, Li Y, Liang R. Homologous recombination repair gene mutations in colorectal cancer favors treatment of immune checkpoint inhibitors. Mol Carcinog 2023; 62:1271-1283. [PMID: 37232365 DOI: 10.1002/mc.23562] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 05/03/2023] [Accepted: 05/06/2023] [Indexed: 05/27/2023]
Abstract
Immune checkpoint inhibitor (ICI) therapy is insensitive for Colorectal cancer (CRC) patients with microsatellite stable (MSS). Genomic data of three CRC cohort, n = 35), and the Cancer Genome Atlas (TCGA CRC cohort, n = 377), were analyzed. A cohort treated with ICIs from Memorial Sloan Kettering Cancer Center (MSKCC CRC cohort, n = 110) and two cases from the local hospital were characterized the impact of the HRR mutation on prognosis of CRC. Homologous recombination repair (HRR) gene mutations were more common in CN and HL cohorts (27.85%; 48.57%) than in TCGA CRC cohort (15.92%), especially in the MSS populations, the frequencies of HRR mutation were higher in CN and HL cohort (27.45%, 51.72%) than in TCGA cohort (6.85%). HRR mutations were associated with high tumor mutational burden (TMB-H). Although HRR mutation uncorrelated with an improved overall survival in the MSKCC CRC cohort (p = 0.97), HRR mutated patients had a significantly improved OS compared to the HRR wildtype population particularly in MSS subgroups (p = 0.0407) under ICI treatment. It probably contributed by a higher neoantigen and increased CD4+ T cell infiltration which found in the TCGA MSS HRR mutated CRC cohort. The similar phenomenon on cases was observed that MSS metastatic CRC patient with HRR mutation seemed more sensitive to ICI after multi-line chemotherapy in clinical practice than HRR wildtype. This finding suggests the feasibility of HRR mutation as an immunotherapy response predictor in MSS CRC, which highlights a potential therapeutic approach for these patients.
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Affiliation(s)
- Yan Lin
- Department of Medical Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China
| | - Shanshan Luo
- Department of Gastrointestinal Gland Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China
| | - Min Luo
- Department of Medical Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China
| | - Xuerou Lu
- Department of Medical Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China
| | - Qian Li
- Department of Medical Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China
| | - Mingzhi Xie
- Department of Medical Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China
| | - Yu Huang
- Department of Medical Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China
| | - Xiaoli Liao
- Department of Medical Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China
| | - Yumei Zhang
- Department of Medical Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China
| | - Yongqiang Li
- Department of Medical Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China
| | - Rong Liang
- Department of Medical Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China
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Saldivar JS, Harris J, Ayash E, Hong M, Tandon P, Sinha S, Hebron PM, Houghton EE, Thorne K, Goodman LJ, Li C, Marfatia TR, Anderson J, Morra M, Lyle J, Bartha G, Chen R. Analytic validation of NeXT Dx™, a comprehensive genomic profiling assay. Oncotarget 2023; 14:789-806. [PMID: 37646774 PMCID: PMC10467627 DOI: 10.18632/oncotarget.28490] [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: 05/31/2023] [Accepted: 08/19/2023] [Indexed: 09/01/2023] Open
Abstract
We describe the analytic validation of NeXT Dx, a comprehensive genomic profiling assay to aid therapy and clinical trial selection for patients diagnosed with solid tumor cancers. Proprietary methods were utilized to perform whole exome and whole transcriptome sequencing for detection of single nucleotide variants (SNVs), insertions/deletions (indels), copy number alterations (CNAs), and gene fusions, and determination of tumor mutation burden and microsatellite instability. Variant calling is enhanced by sequencing a patient-specific normal sample from, for example, a blood specimen. This provides highly accurate somatic variant calls as well as the incidental reporting of pathogenic and likely pathogenic germline alterations. Fusion detection via RNA sequencing provides more extensive and accurate fusion calling compared to DNA-based tests. NeXT Dx features the proprietary Accuracy and Content Enhanced technology, developed to optimize sequencing and provide more uniform coverage across the exome. The exome was validated at a median sequencing depth of >500x. While variants from 401 cancer-associated genes are currently reported from the assay, the exome/transcriptome assay is broadly validated to enable reporting of additional variants as they become clinically relevant. NeXT Dx demonstrated analytic sensitivities as follows: SNVs (99.4%), indels (98.2%), CNAs (98.0%), and fusions (95.8%). The overall analytic specificity was >99.0%.
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Affiliation(s)
| | - Jason Harris
- Personalis, Inc., Fremont, CA 94555, USA
- These authors contributed equally to this work
| | - Erin Ayash
- Personalis, Inc., Fremont, CA 94555, USA
| | | | | | | | | | | | | | | | - Conan Li
- Personalis, Inc., Fremont, CA 94555, USA
| | | | | | | | - John Lyle
- Personalis, Inc., Fremont, CA 94555, USA
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Dolin RH, Gupta R, Newsom K, Heale BS, Gothi S, Starostik P, Chamala S. Automated HL7v2 LRI informatics framework for streamlining genomics-EHR data integration. J Pathol Inform 2023; 14:100330. [PMID: 37719179 PMCID: PMC10504540 DOI: 10.1016/j.jpi.2023.100330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 07/08/2023] [Accepted: 08/09/2023] [Indexed: 09/19/2023] Open
Abstract
While VCF formatted files are the lingua franca of next-generation sequencing, most EHRs do not provide native VCF support. As a result, labs often must send non-structured PDF reports to the EHR. On the other hand, while FHIR adoption is growing, most EHRs support HL7 interoperability standards, particularly those based on the HL7 Version 2 (HL7v2) standard. The HL7 Version 2 genomics component of the HL7 Laboratory Results Interface (HL7v2 LRI) standard specifies a formalism for the structured communication of genomic data from lab to EHR. We previously described an open-source tool (vcf2fhir) that converts VCF files into HL7 FHIR format. In this report, we describe how the utility has been extended to output HL7v2 LRI data that contains both variants and variant annotations (e.g., predicted phenotypes and therapeutic implications). Using this HL7v2 converter, we implemented an automated pipeline for moving structured genomic data from the clinical laboratory to EHR. We developed an open source hl7v2GenomicsExtractor that converts genomic interpretation report files into a series of HL7v2 observations conformant to HL7v2 LRI. We further enhanced the converter to produce output conformant to Epic's genomic import specification and to support alternative input formats. An automated pipeline for pushing standards-based structured genomic data directly into the EHR was successfully implemented, where genetic variant data and the clinical annotations are now both available to be viewed in the EHR through Epic's genomics module. Issues encountered in the development and deployment of the HL7v2 converter primarily revolved around data variability issues, primarily lack of a standardized representation of data elements within various genomic interpretation report files. The technical implementation of a HL7v2 message transformation to feed genomic variant and clinical annotation data into an EHR has been successful. In addition to genetic variant data, the implementation described here releases the valuable asset of clinically relevant genomic annotations provided by labs from static PDFs to calculable, structured data in EHR systems.
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Affiliation(s)
| | - Rohan Gupta
- Elimu Informatics, Inc, Richmond, CA, USA
- Department of Computer Science, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India
| | - Kimberly Newsom
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, USA
| | | | - Shailesh Gothi
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, USA
| | - Petr Starostik
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, USA
| | - Srikar Chamala
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, USA
- Department of Pathology and Laboratory Medicine, Children’s Hospital Los Angeles, CA, USA
- Department of Pathology, University of Southern California, CA, USA
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Bang S, Won D, Shin S, Cho KS, Park JW, Lee J, Choi YD, Kang S, Lee ST, Choi JR, Han H. Circulating Tumor DNA Analysis on Metastatic Prostate Cancer with Disease Progression. Cancers (Basel) 2023; 15:3998. [PMID: 37568814 PMCID: PMC10416850 DOI: 10.3390/cancers15153998] [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: 06/02/2023] [Revised: 07/26/2023] [Accepted: 08/02/2023] [Indexed: 08/13/2023] Open
Abstract
The positivity rate of circulating tumor DNA (ctDNA) next-generation sequencing (NGS) varies among patients with metastatic prostate cancer (mPC), complicating its incorporation into regular practice. This retrospective study analyzed the ctDNA sequencing results of 100 mPC patients from May 2021 to March 2023 to identify the factors associated with positive ctDNA. Three custom gene panels were used for sequencing. Overall, 63% of the patients exhibited tier I/II somatic alterations, while 12% had pathogenic/likely pathogenic germline alterations. The key genes that were altered included AR, TP53, RB1, PTEN, and APC. Mutations in BRCA1/2, either germline or somatic, were observed in 21% of the patients. Among the metastatic castration-resistant prostate cancer (mCRPC) patients, the ctDNA-positive samples generally showed higher median prostate-specific antigen (PSA) levels and were more likely to be at the radiographic and clinical progressive disease stages, although they were not significantly associated with PSA progression. Our results suggest that ctDNA analysis could detect meaningful genetic changes in mPC patients, especially during disease progression.
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Affiliation(s)
- Sungun Bang
- Department of Urology, Severance Hospital, Urological Science Institute, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; (S.B.); (J.L.); (Y.D.C.)
- Department of Urology, National Health Insurance Service Ilsan Hospital, Goyang 10444, Republic of Korea;
| | - Dongju Won
- Department of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; (S.S.); (S.-T.L.); (J.R.C.)
| | - Saeam Shin
- Department of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; (S.S.); (S.-T.L.); (J.R.C.)
| | - Kang Su Cho
- Department of Urology, Prostate Cancer Center, Gangnam Severance Hospital, Urological Science Institute, Yonsei University College of Medicine, Seoul 03722, Republic of Korea;
| | - Jae Won Park
- Department of Urology, National Health Insurance Service Ilsan Hospital, Goyang 10444, Republic of Korea;
| | - Jongsoo Lee
- Department of Urology, Severance Hospital, Urological Science Institute, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; (S.B.); (J.L.); (Y.D.C.)
| | - Young Deuk Choi
- Department of Urology, Severance Hospital, Urological Science Institute, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; (S.B.); (J.L.); (Y.D.C.)
| | - Suwan Kang
- Department of Urology, Severance Hospital, Urological Science Institute, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; (S.B.); (J.L.); (Y.D.C.)
| | - Seung-Tae Lee
- Department of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; (S.S.); (S.-T.L.); (J.R.C.)
| | - Jong Rak Choi
- Department of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; (S.S.); (S.-T.L.); (J.R.C.)
| | - Hyunho Han
- Department of Urology, Severance Hospital, Urological Science Institute, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; (S.B.); (J.L.); (Y.D.C.)
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Mu Y, Chen Y, Meng Y, Chen T, Fan X, Yuan J, Lin J, Pan J, Li G, Feng J, Diao K, Li Y, Yu S, Liu L. Machine learning models-based on integration of next-generation sequencing testing and tumor cell sizes improve subtype classification of mature B-cell neoplasms. Front Oncol 2023; 13:1160383. [PMID: 37601650 PMCID: PMC10436202 DOI: 10.3389/fonc.2023.1160383] [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: 02/07/2023] [Accepted: 07/03/2023] [Indexed: 08/22/2023] Open
Abstract
Background Next-generation sequencing (NGS) panels for mature B-cell neoplasms (MBNs) are widely applied clinically but have yet to be routinely used in a manner that is suitable for subtype differential diagnosis. This study retrospectively investigated newly diagnosed cases of MBNs from our laboratory to investigate mutation landscapes in Chinese patients with MBNs and to combine mutational information and machine learning (ML) into clinical applications for MBNs, especially for subtype classification. Methods Samples from the Catalogue Of Somatic Mutations In Cancer (COSMIC) database were collected for ML model construction and cases from our laboratory were used for ML model validation. Five repeats of 10-fold cross-validation Random Forest algorithm was used for ML model construction. Mutation detection was performed by NGS and tumor cell size was confirmed by cell morphology and/or flow cytometry in our laboratory. Results Totally 849 newly diagnosed MBN cases from our laboratory were retrospectively identified and included in mutational landscape analyses. Patterns of gene mutations in a variety of MBN subtypes were found, important to investigate tumorigenesis in MBNs. A long list of novel mutations was revealed, valuable to both functional studies and clinical applications. By combining gene mutation information revealed by NGS and ML, we established ML models that provide valuable information for MBN subtype classification. In total, 8895 cases of 8 subtypes of MBNs in the COSMIC database were collected and utilized for ML model construction, and the models were validated on the 849 MBN cases from our laboratory. A series of ML models was constructed in this study, and the most efficient model, with an accuracy of 0.87, was based on integration of NGS testing and tumor cell sizes. Conclusions The ML models were of great significance in the differential diagnosis of all cases and different MBN subtypes. Additionally, using NGS results to assist in subtype classification of MBNs by method of ML has positive clinical potential.
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Affiliation(s)
- Yafei Mu
- Department of Hematology, The Third Affiliated Hospital of Sun Yat‐sen University and Sun Yat‐sen Institute of Hematology, Guangzhou, China
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
- Guangzhou KingMed Transformative Medicine Institute Co., Ltd., Guangzhou, China
| | - Yuxin Chen
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
- Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, China
- Guangzhou KingMed Diagnostics Group Co., Ltd., Guangzhou, China
| | - Yuhuan Meng
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
- Guangzhou KingMed Transformative Medicine Institute Co., Ltd., Guangzhou, China
- Guangzhou KingMed Diagnostics Group Co., Ltd., Guangzhou, China
| | - Tao Chen
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
- Guangzhou KingMed Transformative Medicine Institute Co., Ltd., Guangzhou, China
| | - Xijie Fan
- Guangzhou KingMed Transformative Medicine Institute Co., Ltd., Guangzhou, China
| | - Jiecheng Yuan
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
- Guangzhou KingMed Transformative Medicine Institute Co., Ltd., Guangzhou, China
| | - Junwei Lin
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
- Guangzhou KingMed Transformative Medicine Institute Co., Ltd., Guangzhou, China
| | - Jianhua Pan
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
- Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, China
- Guangzhou KingMed Diagnostics Group Co., Ltd., Guangzhou, China
| | - Guibin Li
- Guangzhou KingMed Transformative Medicine Institute Co., Ltd., Guangzhou, China
| | - Jinghua Feng
- Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, China
| | - Kaiyuan Diao
- Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, China
| | - Yinghua Li
- Guangzhou KingMed Diagnostics Group Co., Ltd., Guangzhou, China
| | - Shihui Yu
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
- Guangzhou KingMed Transformative Medicine Institute Co., Ltd., Guangzhou, China
- Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, China
- Guangzhou KingMed Diagnostics Group Co., Ltd., Guangzhou, China
| | - Lingling Liu
- Department of Hematology, The Third Affiliated Hospital of Sun Yat‐sen University and Sun Yat‐sen Institute of Hematology, Guangzhou, China
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Zhang C, Zhu D, Qu Y, Shi M, Ma J, Peng Y, Zhu B, Tao H, Ma T, Hou T. Profiling of the genetic features of Chinese patients with gastric cancer with HRD germline mutations in a large-scale retrospective study. J Med Genet 2023; 60:760-768. [PMID: 36627197 PMCID: PMC10423538 DOI: 10.1136/jmg-2022-108816] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Accepted: 12/03/2022] [Indexed: 01/11/2023]
Abstract
BACKGROUND Approximately 10% of gastric cancers (GCs) are associated with strong familial clustering and can be attributed to genetic predisposition. Homologous recombination deficiency (HRD) leads to genomic instability and accumulation of genetic variations, playing an important role in the development and progression of cancer. We aimed to delineate the germline mutation characteristics of patients with HRD-mut GC in Chinese. METHODS We retrospectively reviewed the genomic sequencing data of 1135 patients with Chinese GC. Patients harbouring at least one loss of function (LoF) germline mutations in BRCA1, BRCA2, ATM, PALB2, BRIP1, CHEK1, CHEK2, FANCA and FANCL were selected for analysis. RESULTS 89 patients were identified with LoF germline mutations of HRD gene. Germline mutations occurred most commonly in ATM (30.33%), followed by BRIP1 (17.98%), BRCA2 (14.61%), BRCA1 (12.36%), FANCA (10.11%), PALB2 (10.11%), FANCL (6.74%), CHEK1 (3.37%) and CHEK2 (3.37%). 14 out of 89 patients with HRD-mut harboured double mutations in HRD and MMR genes, with the median age of 51.5 years. The decreasing median age would be attributed to five patients with HRD+MMR double-muts harbouring mutations in both HRD and MMR genes. The median age of onset of patients with HRD+MMR double-muts is 47, which is significantly earlier than that of Chinese patients with GC (p=0.0235). CONCLUSION Our data suggest that carrying both HRD and MMR gene LoF germline mutations may cause early-onset GC. Germline mutations in the HRD gene should be of concern in the study of hereditary GC.
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Affiliation(s)
- Chenghai Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery IV, Peking University Cancer Hospital, Beijing, China
| | - Dandan Zhu
- Guangdong Center for Clinical Laboratory, Guangdong Provincial People's Hospital(Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Yurong Qu
- Department of Translational Medicine, Hangzhou Jichenjunchuang Medical Laboratory, Co., Ltd, Hangzhou, China
| | - Min Shi
- Department of Translational Medicine, Hangzhou Jichenjunchuang Medical Laboratory, Co., Ltd, Hangzhou, China
| | - Jingjiao Ma
- Department of Bioinformatics, Hangzhou Jichenjunchuang Medical Laboratory, Co., Ltd, Hangzhou, China
| | - Yebo Peng
- Department of Bioinformatics, Hangzhou Jichenjunchuang Medical Laboratory, Co., Ltd, Hangzhou, China
| | - Bowen Zhu
- Department of Translational Medicine, Hangzhou Jichenjunchuang Medical Laboratory, Co., Ltd, Hangzhou, China
| | - Houquan Tao
- Key Laboratory of Gastroenterology of Zhejiang Province, Zhejiang Provincial People's Hospital, Hangzhou, Zhejiang, China
| | - Tonghui Ma
- Department of Translational Medicine, Hangzhou Jichenjunchuang Medical Laboratory, Co., Ltd, Hangzhou, China
| | - TieYing Hou
- Guangdong Center for Clinical Laboratory, Guangdong Provincial People's Hospital(Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China
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Wang N, Khan S, Elo LL. VarSCAT: A computational tool for sequence context annotations of genomic variants. PLoS Comput Biol 2023; 19:e1010727. [PMID: 37566612 PMCID: PMC10446208 DOI: 10.1371/journal.pcbi.1010727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 08/23/2023] [Accepted: 07/20/2023] [Indexed: 08/13/2023] Open
Abstract
The sequence contexts of genomic variants play important roles in understanding biological significances of variants and potential sequencing related variant calling issues. However, methods for assessing the diverse sequence contexts of genomic variants such as tandem repeats and unambiguous annotations have been limited. Herein, we describe the Variant Sequence Context Annotation Tool (VarSCAT) for annotating the sequence contexts of genomic variants, including breakpoint ambiguities, flanking bases of variants, wildtype/mutated DNA sequences, variant nomenclatures, distances between adjacent variants, tandem repeat regions, and custom annotation with user customizable options. Our analyses demonstrate that VarSCAT is more versatile and customizable than the currently available methods or strategies for annotating variants in short tandem repeat (STR) regions or insertions and deletions (indels) with breakpoint ambiguity. Variant sequence context annotations of high-confidence human variant sets with VarSCAT revealed that more than 75% of all human individual germline and clinically relevant indels have breakpoint ambiguities. Moreover, we illustrate that more than 80% of human individual germline small variants in STR regions are indels and that the sizes of these indels correlated with STR motif sizes. VarSCAT is available from https://github.com/elolab/VarSCAT.
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Affiliation(s)
- Ning Wang
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
- InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - Sofia Khan
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
| | - Laura L. Elo
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
- InFLAMES Research Flagship Center, University of Turku, Turku, Finland
- Institute of Biomedicine, University of Turku, Turku, Finland
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Yang Y, Liu C, Zhuo ZL, Xie F, Wang K, Wang S, Zhao XT. Germline Mutations in 32 Cancer Susceptibility Genes by Next-Generation Sequencing among Breast Cancer Patients. Oncology 2023; 102:206-216. [PMID: 37517399 DOI: 10.1159/000532095] [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: 01/07/2023] [Accepted: 07/17/2023] [Indexed: 08/01/2023]
Abstract
INTRODUCTION BRCA1/2 germline mutations are the most well-known genetic determinants for breast cancer. However, the distribution of germline mutations in non-BRCA1/2 cancer susceptibility genes in Chinese breast cancer patients is unclear. The association between clinical characteristics and germline mutations remains to be explored. METHODS Consecutive breast cancer patients from Peking University People's Hospital were enrolled. Clinical characteristics were collected, and next-generation sequencing was performed using blood samples of participants to identify pathogenic/likely pathogenic (P/LP) germline mutations in 32 cancer susceptibility genes including homologous recombination repair (HRR) genes. RESULTS A total of 885 breast cancer patients underwent the detection of germline mutations. 107 P/LP germline mutations of 17 genes were identified in 116 breast cancer patients including 79 (8.9%) in BRCA1/2 and 40 (4.5%) in 15 non-BRCA1/2 genes. PALB2 was the most frequently mutated gene other than BRCA1/2 but still relatively rare (1.1%). There were 38 novel P/LP germline variants detected. P/LP germline mutations in BRCA1/2 were significantly associated with onset age (p < 0.001), the family history of breast/ovarian cancer (p = 0.010), and molecular subtype (p < 0.001), while being correlated with onset age (p < 0.001), site of breast tumor (p = 0.028), and molecular subtype (p < 0.001) in HRR genes. CONCLUSIONS The multiple-gene panel prominently increased the detection rate of P/LP germline mutations in 32 cancer susceptibility genes compared to BRCA1/2 alone. Onset younger than or equal to 45 years of age, bilateral and triple-negative breast cancer patients may be more likely to be recommended for detecting P/LP germline mutations in HRR genes.
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Affiliation(s)
- Yu Yang
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Chang Liu
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Zhong-Ling Zhuo
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Fei Xie
- Breast Center, Peking University People's Hospital, Beijing, China
| | - Ke Wang
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Shu Wang
- Breast Center, Peking University People's Hospital, Beijing, China
| | - Xiao-Tao Zhao
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
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Lee PWP, Strum SW, Tsvetkova E. It Is All in the Genes: A Story of Unexpected Survival in a 67-Year-Old Male with Metastatic Pancreatic Cancer. Case Rep Oncol Med 2023; 2023:8751205. [PMID: 37547629 PMCID: PMC10400294 DOI: 10.1155/2023/8751205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 07/07/2023] [Indexed: 08/08/2023] Open
Abstract
Background We describe a case report of a 67-year-old male with PDAC who experienced an exceptional survival outcome during systemic therapy and its implications in precision medicine. We hypothesize that his outcomes are attributable, in part, to a germline BRCA2 deletion and somatic GNAS substitution. Methods Retrospective single-patient chart review was performed at the London Regional Cancer Program, as well as a structured literature search spanning all years in PubMed of BRCA and GNAS mutations in pancreatic cancer. Results The case described herein represents a 67-year-old male who survived over 27 months after third-line treatment with gemcitabine, docetaxel, and capecitabine (GTX) chemotherapy for metastatic PDAC after progression on gemcitabine and Abraxane and then on FOLFIRINOX. His survival far exceeded the median overall survival metrics. Genetic testing revealed a pathogenic heterozygous germline BRCA2 6643delT p.(Tyr2215Thrfs∗14) frameshift mutation and somatic GNAS 2531G > A p.(Arg844His) mutation. Conclusions This case highlights the urgent need to expand our knowledge of cancer biology to advance personalized cancer treatment and therapy development.
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Affiliation(s)
- Patsy W. P. Lee
- Department of Internal Medicine, Schulich School of Medicine and Dentistry, Western University, Canada
| | - Scott W. Strum
- Department of Medical Oncology, London Regional Cancer Program, Western University, Canada
| | - Elena Tsvetkova
- Department of Medical Oncology, London Regional Cancer Program, Western University, Canada
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249
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Fountzilas E, Kouspou M, Eliades A, Papadopoulou K, Bournakis E, Goussia A, Tsiatas M, Achilleos A, Tsangaras K, Billioud G, Loizides C, Lemesios C, Kypri E, Ioannides M, Koumbaris G, Levva S, Vakalopoulos I, Paliouras A, Pervana S, Koinis F, Bumci R, Christopoulou A, Meditskou S, Psyrri A, Boukovinas I, Visvikis A, Karavasilis V, Koukoulis GK, Kotsakis A, Giannakis D, Fountzilas G, Patsalis PC. Investigation of Clinically Significant Molecular Aberrations in Patients with Prostate Cancer: Implications for Personalized Treatment, Prognosis and Genetic Testing. Int J Mol Sci 2023; 24:11834. [PMID: 37511593 PMCID: PMC10380890 DOI: 10.3390/ijms241411834] [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: 06/12/2023] [Revised: 07/10/2023] [Accepted: 07/12/2023] [Indexed: 07/30/2023] Open
Abstract
The data on tumor molecular profiling of European patients with prostate cancer is limited. Our aim was to evaluate the prevalence and prognostic and predictive values of gene alterations in unselected patients with prostate cancer. The presence of gene alterations was assessed in patients with histologically confirmed prostate cancer using the ForeSENTIA® Prostate panel (Medicover Genetics), targeting 36 clinically relevant genes and microsatellite instability testing. The primary endpoint was the prevalence of gene alterations in homologous recombination repair (HRR) genes. Overall, 196 patients with prostate cancer were evaluated (median age 72.2 years, metastatic disease in 141 (71.9%) patients). Gene alterations were identified in 120 (61%) patients, while alteration in HRR genes were identified in 34 (17.3%) patients. The most commonly mutated HRR genes were ATM (17, 8.7%), BRCA2 (9, 4.6%) and BRCA1 (4, 2%). The presence of HRR gene alterations was not associated with advanced stage (p = 0.21), age at diagnosis (p = 0.28), Gleason score (p = 0.17) or overall survival (HR 0.72; 95% CI: 0.41-1.26; p = 0.251). We identified clinically relevant somatic gene alterations in European patients with prostate cancer. These molecular alterations have prognostic significance and therapeutic implications and/or may trigger genetic testing in selected patients. In the era of precision medicine, prospective research on the predictive role of these alterations for innovative treatments or their combinations is warranted.
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Affiliation(s)
- Elena Fountzilas
- Department of Medical Oncology, St. Lukes's Hospital, 55236 Thessaloniki, Greece
- Medical Oncology, German Oncology Center, European University Cyprus, Limassol 3036, Cyprus
| | - Maria Kouspou
- Department of Basic and Clinical Sciences, University of Nicosia Medical School, Nicosia 2417, Cyprus
| | | | - Kyriaki Papadopoulou
- Laboratory of Molecular Oncology, Hellenic Foundation for Cancer Research/Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Evangelos Bournakis
- Oncology Unit, 2nd Department of Surgery, Aretaieio Hospital, Medical School, National and Kapodistrian University of Athens, 11528 Athens, Greece
- Oncologic Clinical Trials and Research Clinic, Metropolitan General Hospital, 15562 Athens, Greece
| | - Anna Goussia
- Department of Pathology, Faculty of Medicine, Ioannina University Hospital, 45500 Ioannina, Greece
- Department of Pathology, German Oncology Center, Limassol 4108, Cyprus
| | - Marinos Tsiatas
- Department of Oncology, Athens Medical Center, 15125 Marousi, Greece
| | | | | | | | | | | | | | | | | | - Sofia Levva
- Medical Oncology, Bioclinic of Thessaloniki, 54622 Thessaloniki, Greece
| | - Ioannis Vakalopoulos
- First Department of Urology, School of Medicine, Aristotle University of Thessaloniki, "G. Gennimatas" General Hospital, 54124 Thessaloniki, Greece
| | | | - Stavroula Pervana
- Department of Pathology, Papageorgiou Hospital, 56429 Thessaloniki, Greece
| | - Filippos Koinis
- Department of Medical Oncology, University General Hospital of Larissa, 41110 Larissa, Greece
| | - Redi Bumci
- Department of Pathology, Faculty of Medicine, Ioannina University Hospital, 45500 Ioannina, Greece
| | | | - Soultana Meditskou
- Department of Histology-Embryology, School of Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Amanda Psyrri
- Section of Medical Oncology, Department of Internal Medicine, Attikon University Hospital, Faculty of Medicine, National and Kapodistrian University of Athens School of Medicine, 12462 Athens, Greece
| | | | - Anastasios Visvikis
- Third Department of Medical Oncology, Agii Anargiri Cancer Hospital, 14564 Athens, Greece
| | | | - George K Koukoulis
- Department of Pathology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41100 Larissa, Greece
| | - Athanasios Kotsakis
- Department of Medical Oncology, University General Hospital of Larissa, 41110 Larissa, Greece
| | - Dimitrios Giannakis
- Department of Urology, Faculty of Medicine, University of Ioannina, 45110 Ioannina, Greece
| | - George Fountzilas
- Laboratory of Molecular Oncology, Hellenic Foundation for Cancer Research/Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
- Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
- Department of Medical Oncology, German Oncology Center, Limassol 4108, Cyprus
| | - Philippos C Patsalis
- Department of Basic and Clinical Sciences, University of Nicosia Medical School, Nicosia 2417, Cyprus
- Medicover Genetics, Nicosia 2409, Cyprus
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250
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Ren B, Chen Y, Bai X, Zheng J, Chang J, Jiang X, Xia Q, Zhang H. Case report: Clinicopathological and molecular characteristics of pediatric-type follicular lymphoma. Front Pediatr 2023; 11:1205384. [PMID: 37539011 PMCID: PMC10394512 DOI: 10.3389/fped.2023.1205384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 06/30/2023] [Indexed: 08/05/2023] Open
Abstract
Pediatric-type follicular lymphoma (PTFL) is a rare pediatric-type indolent B-cell lymphoma that clinicopathologically differs from adult lymphoma. Accurate diagnosis of PTFL, which is often challenging, is essential to avoid missed diagnosis, misdiagnosis, and overtreatment. To improve our understanding of PTFL, clinicopathological features, differential diagnosis, and molecular mutation characteristics of four patients of PTFL were analyzed using hematoxylin and eosin staining, immunohistochemistry, polymerase chain reaction, fluorescence in situ hybridization (FISH), and next-generation sequencing (NGS). A relevant literature review was also performed. All four PTFL patients were male, with ages of 6, 18, 13, and 15 years, and had St. Jude stage I or III. Microscopic results showed that the structure of the lymph nodes was destroyed; the tumor follicles were enlarged and irregular; medium-large blastoid cells with a consistent shape were visible in tumor follicles, and the nucleus was round or oval; and the "starry sky" pattern was easily observed. Tumor cells expressed CD20, PAX-5, BCL6, and CD10. None of the tumor cells expressed BCL2, CD3, CD5, MUM1, and CyclinD1. CD21 showed dilated growth of a follicular dendritic cell network in tumor follicles. EBER genes were negative in all cases. FISH testing also showed negative BCL2 gene breaks and IRF4 gene breaks in all cases. NGS detected 12 related mutant genes, including KMT2D, CD79B, GNA13, MYD88, PCLO, TCF3, IRF8, MAP2K1, FOXO1, POLE, INPP5D, and FAT4. Two of the four patients had an IRF8 gene mutation, and one patient had a dual mutation of the MAP2K1 gene. Our study revealed the unique clinicopathological features and molecular mutational characteristics of PTFL, consolidated our understanding of PTFL, and identified other rare mutant genes, which may further contribute to the study of the molecular mechanism and differential diagnosis of PTFL.
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Affiliation(s)
- Beibei Ren
- Department of Pathology, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
- Henan Medical Key Laboratory of Tumor Pathology and Artificial Intelligence Diagnosis, Zhengzhou, China
- Pathological Diagnostic Antibody Engineering Research Center of Henan Province, Zhengzhou, China
| | - Yu Chen
- Department of Pathology, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
- Henan Medical Key Laboratory of Tumor Pathology and Artificial Intelligence Diagnosis, Zhengzhou, China
- Pathological Diagnostic Antibody Engineering Research Center of Henan Province, Zhengzhou, China
| | - Xuanye Bai
- Department of Pathology, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
- Henan Medical Key Laboratory of Tumor Pathology and Artificial Intelligence Diagnosis, Zhengzhou, China
- Pathological Diagnostic Antibody Engineering Research Center of Henan Province, Zhengzhou, China
| | - Jiawen Zheng
- Department of Molecular Pathology, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Jing Chang
- Medical Service Office, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiangnan Jiang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Qingxin Xia
- Department of Pathology, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
- Henan Medical Key Laboratory of Tumor Pathology and Artificial Intelligence Diagnosis, Zhengzhou, China
- Pathological Diagnostic Antibody Engineering Research Center of Henan Province, Zhengzhou, China
| | - He Zhang
- Department of Pathology, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
- Henan Medical Key Laboratory of Tumor Pathology and Artificial Intelligence Diagnosis, Zhengzhou, China
- Pathological Diagnostic Antibody Engineering Research Center of Henan Province, Zhengzhou, China
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