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Shahrouzi P, Forouz F, Mathelier A, Kristensen VN, Duijf PHG. Copy number alterations: a catastrophic orchestration of the breast cancer genome. Trends Mol Med 2024; 30:750-764. [PMID: 38772764 DOI: 10.1016/j.molmed.2024.04.017] [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: 02/26/2024] [Revised: 04/12/2024] [Accepted: 04/26/2024] [Indexed: 05/23/2024]
Abstract
Breast cancer (BCa) is a prevalent malignancy that predominantly affects women around the world. Somatic copy number alterations (CNAs) are tumor-specific amplifications or deletions of DNA segments that often drive BCa development and therapy resistance. Hence, the complex patterns of CNAs complement BCa classification systems. In addition, understanding the precise contributions of CNAs is essential for tailoring personalized treatment approaches. This review highlights how tumor evolution drives the acquisition of CNAs, which in turn shape the genomic landscapes of BCas. It also discusses advanced methodologies for identifying recurrent CNAs, studying CNAs in BCa and their clinical impact.
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Affiliation(s)
- Parastoo Shahrouzi
- Department of Medical Genetics, Institute of Basic Medical Science, Faculty of Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway.
| | - Farzaneh Forouz
- School of Pharmacy, University of Queensland, Woolloongabba, Brisbane, Australia
| | - Anthony Mathelier
- Centre for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo, 0318 Oslo, Norway; Center for Bioinformatics, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway; Department of Medical Genetics, Institute of Clinical Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Vessela N Kristensen
- Department of Medical Genetics, Institute of Clinical Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway; Division of Medicine, Department of Clinical Molecular Biology and Laboratory Science (EpiGen), Akershus University Hospital, Lørenskog, Norway; Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Pascal H G Duijf
- Department of Medical Genetics, Institute of Clinical Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway; Centre for Cancer Biology, UniSA Clinical and Health Sciences, University of South Australia and SA Pathology, Adelaide, Australia.
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2
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Marlin R, Loger JS, Joachim C, Ebring C, Robert-Siegwald G, Pennont S, Rose M, Raguette K, Suez-Panama V, Ulric-Gervaise S, Lusbec S, Bera O, Vallard A, Aline-Fardin A, Colomba E, Jean-Laurent M. Copy number signatures and CCNE1 amplification reveal the involvement of replication stress in high-grade endometrial tumors oncogenesis. Cell Oncol (Dordr) 2024; 47:1441-1457. [PMID: 38564163 PMCID: PMC11322381 DOI: 10.1007/s13402-024-00942-w] [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] [Accepted: 03/17/2024] [Indexed: 04/04/2024] Open
Abstract
PURPOSE Managing high-grade endometrial cancer in Martinique poses significant challenges. The diversity of copy number alterations in high-grade endometrial tumors, often associated with a TP53 mutation, is a key factor complicating treatment. Due to the high incidence of high-grade tumors with poor prognosis, our study aimed to characterize the molecular signature of these tumors within a cohort of 25 high-grade endometrial cases. METHODS We conducted a comprehensive pangenomic analysis to categorize the copy number alterations involved in these tumors. Whole-Exome Sequencing (WES) and Homologous Recombination (HR) analysis were performed. The alterations obtained from the WES were classified into various signatures using the Copy Number Signatures tool available in COSMIC. RESULTS We identified several signatures that correlated with tumor stage and disctinct prognoses. These signatures all seem to be linked to replication stress, with CCNE1 amplification identified as the primary driver of oncogenesis in over 70% of tumors analyzed. CONCLUSION The identification of CCNE1 amplification, which is currently being explored as a therapeutic target in clinical trials, suggests new treatment strategies for high-grade endometrial cancer. This finding holds particular significance for Martinique, where access to care is challenging.
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Affiliation(s)
- Regine Marlin
- Department of Cancer Molecular Genetics, University Hospital of Martinique, Fort-de-France, Martinique.
| | - Jean-Samuel Loger
- Department of Cancer Molecular Genetics, University Hospital of Martinique, Fort-de-France, Martinique
| | - Clarisse Joachim
- General Cancer Registry of Martinique, University Hospital of Martinique, Fort-de-France, Martinique
| | - Coralie Ebring
- Department of Gynecological and Breast Surgery, University Hospital of Martinique, Fort-de-France, Martinique
| | - Guillaume Robert-Siegwald
- MitoVasc Unit, SFR ICAT, Mitolab Team, UMR CNRS 6015 INSERM U1083, University of Angers, Angers, France
| | - Sabrina Pennont
- Department of Cancer Molecular Genetics, University Hospital of Martinique, Fort-de-France, Martinique
| | - Mickaelle Rose
- Martinique Regional Oncology Platform, University Hospital of Martinique, Fort-de-France, Martinique
| | - Kevin Raguette
- Department of Cancer Molecular Genetics, University Hospital of Martinique, Fort-de-France, Martinique
| | - Valerie Suez-Panama
- Biological Resource Center, University Hospital of Martinique, Fort-de-France, Martinique
| | - Sylviane Ulric-Gervaise
- Department of Cancer Molecular Genetics, University Hospital of Martinique, Fort-de-France, Martinique
| | - Sylvie Lusbec
- Department of Gynecological and Breast Surgery, University Hospital of Martinique, Fort-de-France, Martinique
| | - Odile Bera
- Department of Cancer Molecular Genetics, University Hospital of Martinique, Fort-de-France, Martinique
| | - Alexis Vallard
- Department of Oncology Hematology Urology, University Hospital of Martinique, Fort-de-France, Martinique
| | | | - Emeline Colomba
- Department of Cancer Medicine, Institut Gustave Roussy, University of Paris Saclay, Gif-sur-Yvette, France
| | - Mehdi Jean-Laurent
- Department of Gynecological and Breast Surgery, University Hospital of Martinique, Fort-de-France, Martinique
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Patwardhan RS, Rai A, Sharma D, Sandur SK, Patwardhan S. Txnrd1 as a prognosticator for recurrence, metastasis and response to neoadjuvant chemotherapy and radiotherapy in breast cancer patients. Heliyon 2024; 10:e27011. [PMID: 38524569 PMCID: PMC10958228 DOI: 10.1016/j.heliyon.2024.e27011] [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: 08/17/2023] [Revised: 01/17/2024] [Accepted: 02/22/2024] [Indexed: 03/26/2024] Open
Abstract
Thioredoxin reductase 1 (Txnrd1) is known to have prognostic significance in a subset of breast cancer patients. Despite the pivotal role of Txnrd1 in regulating several cellular and physiological processes in cancer progression and metastasis, its clinical significance is largely unrecognized. Here, we undertook a retrospective comprehensive meta-analysis of 13,322 breast cancer patients from 43 independent cohorts to assess prognostic and predictive roles of Txnrd1. We observed that Txnrd1 has a positive correlation with tumor grade and size and it is over-expressed in higher-grade and larger tumors. Further, hormone receptor-negative and HER2-positive tumors exhibit elevated Txnrd1 gene expression. Patients with elevated Txnrd1 expression exhibit significant hazards for shorter disease-specific and overall survival. While Txnrd1 has a positive correlation with tumor recurrence and metastasis, it has a negative correlation with time to recurrence and metastasis. Txnrd1High patients exhibit 2.5 years early recurrence and 1.3 years early metastasis as compared to Txnrd1Low cohort. Interestingly, patients with high Txnrd1 gene expression exhibit a pathologic complete response (pCR) to neoadjuvant chemotherapy, but they experience early recurrence after radiotherapy. Txnrd1High MDA-MB-231 cells exhibit significant ROS generation and reduced viability after doxorubicin treatment compared to Txnrd1Low MCF7 cells. Corroborating with findings from meta-analysis, Txnrd1 depletion leads to decreased survival, enhanced sensitivity to radiation induced killing, poor scratch-wound healing, and reduced invasion potential in MDA-MB-231 cells. Thus, Txnrd1 appears to be a potential predictor of recurrence, metastasis and therapy response in breast cancer patients.
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Affiliation(s)
- Raghavendra S. Patwardhan
- Radiation Biology & Health Sciences Division, Bhabha Atomic Research Centre, Trombay, Mumbai, 400085, India
| | - Archita Rai
- Radiation Biology & Health Sciences Division, Bhabha Atomic Research Centre, Trombay, Mumbai, 400085, India
- Homi Bhabha National Institute, Mumbai, 400094, India
| | - Deepak Sharma
- Radiation Biology & Health Sciences Division, Bhabha Atomic Research Centre, Trombay, Mumbai, 400085, India
- Homi Bhabha National Institute, Mumbai, 400094, India
| | - Santosh K. Sandur
- Radiation Biology & Health Sciences Division, Bhabha Atomic Research Centre, Trombay, Mumbai, 400085, India
- Homi Bhabha National Institute, Mumbai, 400094, India
| | - Sejal Patwardhan
- Homi Bhabha National Institute, Mumbai, 400094, India
- Patwardhan Lab, Advanced Centre for Treatment Research & Education in Cancer, (ACTREC), Tata Memorial Centre (TMC), Kharghar, Navi Mumbai, 410210, India
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4
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Moore JA, Chen KT, Madison R, Newberg JY, Fleischmann Z, Wang S, Sharaf R, Murugesan K, Fendler BJ, Hughes J, Schrock AB, Hegde PS, Oxnard GR, Fabrizio D, Frampton GM, Antonarakis ES, Sokol ES, Jin DX. Pan-Cancer Analysis of Copy-Number Features Identifies Recurrent Signatures and a Homologous Recombination Deficiency Biomarker to Predict Poly (ADP-Ribose) Polymerase Inhibitor Response. JCO Precis Oncol 2023; 7:e2300093. [PMID: 37769224 DOI: 10.1200/po.23.00093] [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: 02/24/2023] [Revised: 06/21/2023] [Accepted: 07/21/2023] [Indexed: 09/30/2023] Open
Abstract
PURPOSE Copy-number (CN) features reveal the molecular state of cancers and may have predictive and prognostic value in the treatment of cancer. We sought to apply published CN analysis methods to a large pan-cancer data set and characterize ubiquitous CN signatures across tumor types, including potential utility for treatment selection. METHODS We analyzed the landscape of CN features in 260,333 pan-cancer samples. We examined the association of 10 signatures with genomic alterations and clinical characteristics and trained a machine learning classifier using CN and insertion and deletion features to detect homologous recombination deficiency signature (HRDsig) positivity. Clinical outcomes were assessed using a real-world clinicogenomic database (CGDB) of comprehensive genomic profiling linked to deidentified, electronic health record-derived clinical data. RESULTS CN signatures were prevalent across cancer types and associated with diverse processes including focal tandem duplications, seismic amplifications, genome-wide loss of heterozygosity (gLOH), and HRD. Our novel HRDsig outperformed gLOH in predicting BRCAness and effectively distinguished biallelic BRCA and homologous recombination-repair wild-type (HRRwt) samples pan-tumor, demonstrating high sensitivity to detect biallelic BRCA in ovarian (93%) and other HRD-associated cancers (80%-87%). Pan-tumor prevalence of HRDsig was 6.4%. HRRwt cases represented a significant fraction of the HRDsig-positive cohort, likely reflecting a population with nongenomic mechanisms of HRD. In ovarian and prostate CGDBs, HRDsig identified more patients than gLOH and had predictive value for poly (ADP-ribose) polymerase inhibitor (PARPi) benefit. CONCLUSION Tumor CN profiles are informative, revealing diverse processes active in cancer. We describe the landscape of 10 CN signatures in a large pan-cancer cohort, including two associated with HRD. We trained a machine learning-based HRDsig that robustly identified BRCAness and associated with biallelic BRCA pan-tumor, and was predictive of PARPi benefit in real-world ovarian and prostate data sets.
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Newell F, Johansson PA, Wilmott JS, Nones K, Lakis V, Pritchard AL, Lo SN, Rawson RV, Kazakoff SH, Colebatch AJ, Koufariotis LT, Ferguson PM, Wood S, Leonard C, Law MH, Brooks KM, Broit N, Palmer JM, Couts KL, Vergara IA, Long GV, Barbour AP, Nieweg OE, Shivalingam B, Robinson WA, Stretch JR, Spillane AJ, Saw RP, Shannon KF, Thompson JF, Mann GJ, Pearson JV, Scolyer RA, Waddell N, Hayward NK. Comparative Genomics Provides Etiologic and Biological Insight into Melanoma Subtypes. Cancer Discov 2022; 12:2856-2879. [PMID: 36098958 PMCID: PMC9716259 DOI: 10.1158/2159-8290.cd-22-0603] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 08/01/2022] [Accepted: 09/02/2022] [Indexed: 01/12/2023]
Abstract
Melanoma is a cancer of melanocytes, with multiple subtypes based on body site location. Cutaneous melanoma is associated with skin exposed to ultraviolet radiation; uveal melanoma occurs in the eyes; mucosal melanoma occurs in internal mucous membranes; and acral melanoma occurs on the palms, soles, and nail beds. Here, we present the largest whole-genome sequencing study of melanoma to date, with 570 tumors profiled, as well as methylation and RNA sequencing for subsets of tumors. Uveal melanoma is genomically distinct from other melanoma subtypes, harboring the lowest tumor mutation burden and with significantly mutated genes in the G-protein signaling pathway. Most cutaneous, acral, and mucosal melanomas share alterations in components of the MAPK, PI3K, p53, p16, and telomere pathways. However, the mechanism by which these pathways are activated or inactivated varies between melanoma subtypes. Additionally, we identify potential novel germline predisposition genes for some of the less common melanoma subtypes. SIGNIFICANCE This is the largest whole-genome analysis of melanoma to date, comprehensively comparing the genomics of the four major melanoma subtypes. This study highlights both similarities and differences between the subtypes, providing insights into the etiology and biology of melanoma. This article is highlighted in the In This Issue feature, p. 2711.
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Affiliation(s)
- Felicity Newell
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.,Corresponding Authors: Felicity Newell, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, QLD 4006, Australia. Phone: 61-7-3845-3965; E-mail: ; Richard A. Scolyer, Melanoma Institute Australia, 40 Rockland Road, Wollstonecraft, Sydney, NSW 2065, Australia. Phone: 61-2-9515-7011; E-mail: ; and Nicola Waddell, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, QLD 4006, Australia. Phone: 61-7-3845-3538;
| | - Peter A. Johansson
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - James S. Wilmott
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia.,Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.,Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Katia Nones
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Vanessa Lakis
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Antonia L. Pritchard
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.,Department of Genetics and Immunology, Division of Biomedical Science, University of the Highlands and Islands, Inverness, Scotland, United Kingdom
| | - Serigne N. Lo
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
| | - Robert V. Rawson
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia.,Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.,Department of Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital and NSW Health Pathology, Sydney, New South Wales, Australia
| | | | - Andrew J. Colebatch
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia.,Department of Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital and NSW Health Pathology, Sydney, New South Wales, Australia
| | | | - Peter M. Ferguson
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia.,Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.,Department of Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital and NSW Health Pathology, Sydney, New South Wales, Australia
| | - Scott Wood
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Conrad Leonard
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Matthew H. Law
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.,Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Kelly M. Brooks
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Natasa Broit
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.,Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.,Q-Gen Cell Therapeutics, Brisbane, Queensland, Australia
| | - Jane M. Palmer
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Kasey L. Couts
- Center for Rare Melanomas, University of Colorado Cancer Center, Aurora, Colorado
| | - Ismael A. Vergara
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia.,Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.,Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Georgina V. Long
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia.,Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.,Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.,Mater Hospital, North Sydney, New South Wales, Australia.,Royal North Shore Hospital, St Leonards, New South Wales, Australia
| | - Andrew P. Barbour
- Diamantina Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Omgo E. Nieweg
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia.,Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Brindha Shivalingam
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia.,Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.,Mater Hospital, North Sydney, New South Wales, Australia.,Department of Neurosurgery, Chris O'Brien Lifehouse, Camperdown, New South Wales, Australia.,Department of Neurosurgery, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
| | - William A. Robinson
- Center for Rare Melanomas, University of Colorado Cancer Center, Aurora, Colorado
| | - Jonathan R. Stretch
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia.,Mater Hospital, North Sydney, New South Wales, Australia.,Department of Melanoma and Surgical Oncology, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
| | - Andrew J. Spillane
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia.,Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.,Mater Hospital, North Sydney, New South Wales, Australia.,Royal North Shore Hospital, St Leonards, New South Wales, Australia
| | - Robyn P.M. Saw
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia.,Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.,Mater Hospital, North Sydney, New South Wales, Australia.,Department of Melanoma and Surgical Oncology, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
| | - Kerwin F. Shannon
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia.,Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.,Department of Melanoma and Surgical Oncology, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
| | - John F. Thompson
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia.,Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.,Mater Hospital, North Sydney, New South Wales, Australia.,Department of Melanoma and Surgical Oncology, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
| | - Graham J. Mann
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia.,Centre for Cancer Research, Westmead Institute for Medical Research, The University of Sydney, Westmead, New South Wales, Australia.,John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia
| | - John V. Pearson
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Richard A. Scolyer
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia.,Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.,Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.,Department of Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital and NSW Health Pathology, Sydney, New South Wales, Australia.,Corresponding Authors: Felicity Newell, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, QLD 4006, Australia. Phone: 61-7-3845-3965; E-mail: ; Richard A. Scolyer, Melanoma Institute Australia, 40 Rockland Road, Wollstonecraft, Sydney, NSW 2065, Australia. Phone: 61-2-9515-7011; E-mail: ; and Nicola Waddell, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, QLD 4006, Australia. Phone: 61-7-3845-3538;
| | - Nicola Waddell
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.,Corresponding Authors: Felicity Newell, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, QLD 4006, Australia. Phone: 61-7-3845-3965; E-mail: ; Richard A. Scolyer, Melanoma Institute Australia, 40 Rockland Road, Wollstonecraft, Sydney, NSW 2065, Australia. Phone: 61-2-9515-7011; E-mail: ; and Nicola Waddell, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, QLD 4006, Australia. Phone: 61-7-3845-3538;
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Integrated Tissue and Blood miRNA Expression Profiles Identify Novel Biomarkers for Accurate Non-Invasive Diagnosis of Breast Cancer: Preliminary Results and Future Clinical Implications. Genes (Basel) 2022; 13:genes13111931. [DOI: 10.3390/genes13111931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 10/10/2022] [Accepted: 10/18/2022] [Indexed: 11/16/2022] Open
Abstract
We aimed to identify miRNAs that were closely related to breast cancer (BRCA). By integrating several methods including significance analysis of microarrays, fold change, Pearson’s correlation analysis, t test, and receiver operating characteristic analysis, we developed a decision-tree-based scoring algorithm, called Optimized Scoring Mechanism for Primary Synergy MicroRNAs (O-PSM). Five synergy miRNAs (hsa-miR-139-5p, hsa-miR-331-3p, hsa-miR-342-5p, hsa-miR-486-5p, and hsa-miR-654-3p) were identified using O-PSM, which were used to distinguish normal samples from pathological ones, and showed good results in blood data and in multiple sets of tissue data. These five miRNAs showed accurate categorization efficiency in BRCA typing and staging and had better categorization efficiency than experimentally verified miRNAs. In the Protein-Protein Interaction (PPI) network, the target genes of hsa-miR-342-5p have the most regulatory relationships, which regulate carcinogenesis proliferation and metastasis by regulating Glycosaminoglycan biosynthesis and the Rap1 signaling pathway. Moreover, hsa-miR-342-5p showed potential clinical application in survival analysis. We also used O-PSM to generate an R package uploaded on github (SuFei-lab/OPSM accessed on 22 October 2021). We believe that miRNAs included in O-PSM could have clinical implications for diagnosis, prognostic stratification and treatment of BRCA, proposing potential significant biomarkers that could be utilized to design personalized treatment plans in BRCA patients in the future.
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7
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Wang D, Gao S, Qian H, Yuan P, Zhang B. Prognostic Value of Copy Number Alteration Burden in Early-Stage Breast Cancer and the Construction of an 11-Gene Copy Number Alteration Model. Cancers (Basel) 2022; 14:4145. [PMID: 36077687 PMCID: PMC9454926 DOI: 10.3390/cancers14174145] [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: 07/23/2022] [Revised: 08/20/2022] [Accepted: 08/23/2022] [Indexed: 11/16/2022] Open
Abstract
The increasing burden of breast cancer has prompted a wide range of researchers to search for new prognostic markers. Considering that tumor mutation burden (TMB) is low and copy number alteration burden (CNAB) is high in breast cancer, we built a CNAB-based model using a public database and validated it with a Chinese population. We collected formalin-fixed, paraffin-embedded (FFPE) tissue samples from 31 breast cancer patients who were treated between 2010 and 2014 at the National Cancer Center (CICAMS). METABRIC and TCGA data were downloaded via cBioPortal. In total, 2295 patients with early-stage breast cancer were enrolled in the study, including 1427 in the METABRIC cohort, 837 in the TCGA cohort, and 31 in the CICAMS cohort. Based on the ROC curve, we consider 2.2 CNA/MBp as the threshold for the CNAB-high and CNAB-low groupings. In both the TCGA cohort and the CICAMS cohort, CNAB-high had a worse prognosis than CNAB-low. We further simplified this model by establishing a prognostic nomogram for early breast cancer patients by 11 core genes, and this nomogram was highly effective in both the TCGA cohort and the CICAMS cohort. We hope that this model will subsequently help clinicians with prognostic assessments.
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Affiliation(s)
- Dingyuan Wang
- Department of Breast Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Songlin Gao
- Department of VIP Medical Services, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Haili Qian
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Peng Yuan
- Department of VIP Medical Services, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Bailin Zhang
- Department of Breast Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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8
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Bjaanæs MM, Nilsen G, Halvorsen AR, Russnes HG, Solberg S, Jørgensen L, Brustugun OT, Lingjærde OC, Helland Å. Whole genome copy number analyses reveal a highly aberrant genome in TP53 mutant lung adenocarcinoma tumors. BMC Cancer 2021; 21:1089. [PMID: 34625038 PMCID: PMC8501630 DOI: 10.1186/s12885-021-08811-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 09/23/2021] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Genetic alterations are common in non-small cell lung cancer (NSCLC), and DNA mutations and translocations are targets for therapy. Copy number aberrations occur frequently in NSCLC tumors and may influence gene expression and further alter signaling pathways. In this study we aimed to characterize the genomic architecture of NSCLC tumors and to identify genomic differences between tumors stratified by histology and mutation status. Furthermore, we sought to integrate DNA copy number data with mRNA expression to find genes with expression putatively regulated by copy number aberrations and the oncogenic pathways associated with these affected genes. METHODS Copy number data were obtained from 190 resected early-stage NSCLC tumors and gene expression data were available from 113 of the adenocarcinomas. Clinical and histopathological data were known, and EGFR-, KRAS- and TP53 mutation status was determined. Allele-specific copy number profiles were calculated using ASCAT, and regional copy number aberration were subsequently obtained and analyzed jointly with the gene expression data. RESULTS The NSCLC tumors tissue displayed overall complex DNA copy number profiles with numerous recurrent aberrations. Despite histological differences, tissue samples from squamous cell carcinomas and adenocarcinomas had remarkably similar copy number patterns. The TP53-mutated lung adenocarcinomas displayed a highly aberrant genome, with significantly altered copy number profiles including gains, losses and focal complex events. The EGFR-mutant lung adenocarcinomas had specific arm-wise aberrations particularly at chromosome7p and 9q. A large number of genes displayed correlation between copy number and expression level, and the PI(3)K-mTOR pathway was highly enriched for such genes. CONCLUSIONS The genomic architecture in NSCLC tumors is complex, and particularly TP53-mutated lung adenocarcinomas displayed highly aberrant copy number profiles. We suggest to always include TP53-mutation status when studying copy number aberrations in NSCLC tumors. Copy number may further impact gene expression and alter cellular signaling pathways.
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MESH Headings
- Adenocarcinoma of Lung/genetics
- Adenocarcinoma of Lung/pathology
- Alleles
- Carcinoma, Non-Small-Cell Lung/genetics
- Carcinoma, Non-Small-Cell Lung/pathology
- Chromosomes, Human, Pair 7
- Chromosomes, Human, Pair 9
- Class I Phosphatidylinositol 3-Kinases/genetics
- DNA Copy Number Variations
- Ex-Smokers
- Female
- Gene Dosage
- Gene Expression
- Genes, erbB-1/genetics
- Genes, p53
- Genes, ras/genetics
- Humans
- Lung Neoplasms/genetics
- Lung Neoplasms/pathology
- Male
- Non-Smokers
- Polymorphism, Single Nucleotide
- Signal Transduction/genetics
- Smokers
- TOR Serine-Threonine Kinases/genetics
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Affiliation(s)
- Maria Moksnes Bjaanæs
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital-The Norwegian Radium Hospital, Oslo, Norway
- Department of Oncology, Oslo University Hospital, 4950 Nydalen Oslo, Norway
| | - Gro Nilsen
- Department of Computer Science, University of Oslo, Oslo, Norway
- Centre for Cancer Biomedicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Ann Rita Halvorsen
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital-The Norwegian Radium Hospital, Oslo, Norway
| | - Hege G. Russnes
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital-The Norwegian Radium Hospital, Oslo, Norway
- Department of Pathology, Oslo University Hospital, Oslo, Norway
| | - Steinar Solberg
- Department of Cardiothoracic Surgery, Oslo University Hospital, Oslo, Norway
| | - Lars Jørgensen
- Department of Cardiothoracic Surgery, Oslo University Hospital, Oslo, Norway
| | - Odd Terje Brustugun
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital-The Norwegian Radium Hospital, Oslo, Norway
- Section of Oncology, Vestre Viken Hospital, Drammen, Norway
| | - Ole Christian Lingjærde
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital-The Norwegian Radium Hospital, Oslo, Norway
- Department of Computer Science, University of Oslo, Oslo, Norway
- Centre for Cancer Biomedicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Åslaug Helland
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital-The Norwegian Radium Hospital, Oslo, Norway
- Department of Oncology, Oslo University Hospital, 4950 Nydalen Oslo, Norway
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9
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Dasari K, Somarelli JA, Kumar S, Townsend JP. The somatic molecular evolution of cancer: Mutation, selection, and epistasis. PROGRESS IN BIOPHYSICS AND MOLECULAR BIOLOGY 2021; 165:56-65. [PMID: 34364910 DOI: 10.1016/j.pbiomolbio.2021.08.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 07/30/2021] [Accepted: 08/03/2021] [Indexed: 12/17/2022]
Abstract
Cancer progression has been attributed to somatic changes in single-nucleotide variants, copy-number aberrations, loss of heterozygosity, chromosomal instability, epistatic interactions, and the tumor microenvironment. It is not entirely clear which of these changes are essential and which are ancillary to cancer. The dynamic nature of cancer evolution in a patient can be illuminated using several concepts and tools from classical evolutionary biology. Neutral mutation rates in cancer cells are calculable from genomic data such as synonymous mutations, and selective pressures are calculable from rates of fixation occurring beyond the expectation by neutral mutation and drift. However, these cancer effect sizes of mutations are complicated by epistatic interactions that can determine the likely sequence of gene mutations. In turn, longitudinal phylogenetic analyses of somatic cancer progression offer an opportunity to identify key moments in cancer evolution, relating the timing of driver mutations to corresponding landmarks in the clinical timeline. These analyses reveal temporal aspects of genetic and phenotypic change during tumorigenesis and across clinical timescales. Using a related framework, clonal deconvolution, physical locations of clones, and their phylogenetic relations can be used to infer tumor migration histories. Additionally, genetic interactions with the tumor microenvironment can be analyzed with longstanding approaches applied to organismal genotype-by-environment interactions. Fitness landscapes for cancer evolution relating to genotype, phenotype, and environment could enable more accurate, personalized therapeutic strategies. An understanding of the trajectories underlying the evolution of neoplasms, primary, and metastatic tumors promises fundamental advances toward accurate and personalized predictions of therapeutic response.
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Affiliation(s)
| | | | - Sudhir Kumar
- Institute for Genomics and Evolutionary Medicine, and Department of Biology, Temple University, Philadelphia, PA, 19122, USA
| | - Jeffrey P Townsend
- Yale College, New Haven, CT, USA; Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA; Yale Cancer Center, Yale University, New Haven, CT, USA; Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
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10
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Cava C, Sabetian S, Castiglioni I. Patient-Specific Network for Personalized Breast Cancer Therapy with Multi-Omics Data. ENTROPY 2021; 23:e23020225. [PMID: 33670375 PMCID: PMC7918754 DOI: 10.3390/e23020225] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 02/04/2021] [Accepted: 02/09/2021] [Indexed: 01/06/2023]
Abstract
The development of new computational approaches that are able to design the correct personalized drugs is the crucial therapeutic issue in cancer research. However, tumor heterogeneity is the main obstacle to developing patient-specific single drugs or combinations of drugs that already exist in clinics. In this study, we developed a computational approach that integrates copy number alteration, gene expression, and a protein interaction network of 73 basal breast cancer samples. 2509 prognostic genes harboring a copy number alteration were identified using survival analysis, and a protein–protein interaction network considering the direct interactions was created. Each patient was described by a specific combination of seven altered hub proteins that fully characterize the 73 basal breast cancer patients. We suggested the optimal combination therapy for each patient considering drug–protein interactions. Our approach is able to confirm well-known cancer related genes and suggest novel potential drug target genes. In conclusion, we presented a new computational approach in breast cancer to deal with the intra-tumor heterogeneity towards personalized cancer therapy.
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Affiliation(s)
- Claudia Cava
- Institute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), Via F.Cervi 93, Segrate, 20090 Milan, Italy
- Correspondence:
| | - Soudabeh Sabetian
- Infertility Research Center, Shiraz University of Medical Sciences, Shiraz, Iran;
| | - Isabella Castiglioni
- Department of Physics “Giuseppe Occhialini”, University of Milan-Bicocca Piazza dell’Ateneo Nuovo, 20126 Milan, Italy;
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11
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Ülgen E, Karacan S, Gerlevik U, Can Ö, Bilguvar K, Oktay Y, B. Akyerli C, K. Yüksel Ş, E. Danyeli A, Tihan T, Sezerman OU, Yakıcıer MC, Pamir MN, Özduman K. Mutations and Copy Number Alterations in IDH Wild-Type Glioblastomas Are Shaped by Different Oncogenic Mechanisms. Biomedicines 2020; 8:E574. [PMID: 33297360 PMCID: PMC7762325 DOI: 10.3390/biomedicines8120574] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 10/27/2020] [Accepted: 11/03/2020] [Indexed: 12/29/2022] Open
Abstract
Little is known about the mutational processes that shape the genetic landscape of gliomas. Numerous mutational processes leave marks on the genome in the form of mutations, copy number alterations, rearrangements or their combinations. To explore gliomagenesis, we hypothesized that gliomas with different underlying oncogenic mechanisms would have differences in the burden of various forms of these genomic alterations. This was an analysis on adult diffuse gliomas, but IDH-mutant gliomas as well as diffuse midline gliomas H3-K27M were excluded to search for the possible presence of new entities among the very heterogenous group of IDH-WT glioblastomas. The cohort was divided into two molecular subsets: (1) Molecularly-defined GBM (mGBM) as those that carried molecular features of glioblastomas (including TERT promoter mutations, 7/10 pattern, or EGFR-amplification), and (2) those who did not (others). Whole exome sequencing was performed for 37 primary tumors and matched blood samples as well as 8 recurrences. Single nucleotide variations (SNV), short insertion or deletions (indels) and copy number alterations (CNA) were quantified using 5 quantitative metrics (SNV burden, indel burden, copy number alteration frequency-wGII, chromosomal arm event ratio-CAER, copy number amplitude) as well as 4 parameters that explored underlying oncogenic mechanisms (chromothripsis, double minutes, microsatellite instability and mutational signatures). Findings were validated in the TCGA pan-glioma cohort. mGBM and "Others" differed significantly in their SNV (only in the TCGA cohort) and CNA metrics but not indel burden. SNV burden increased with increasing age at diagnosis and at recurrences and was driven by mismatch repair deficiency. On the contrary, indel and CNA metrics remained stable over increasing age at diagnosis and with recurrences. Copy number alteration frequency (wGII) correlated significantly with chromothripsis while CAER and CN amplitude correlated significantly with the presence of double minutes, suggesting separate underlying mechanisms for different forms of CNA.
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Affiliation(s)
- Ege Ülgen
- Department of Biostatistics and Medical Informatics, School of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul 34752, Turkey; (E.Ü.); (S.K.); (U.G.); (O.U.S.)
| | - Sıla Karacan
- Department of Biostatistics and Medical Informatics, School of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul 34752, Turkey; (E.Ü.); (S.K.); (U.G.); (O.U.S.)
| | - Umut Gerlevik
- Department of Biostatistics and Medical Informatics, School of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul 34752, Turkey; (E.Ü.); (S.K.); (U.G.); (O.U.S.)
| | - Özge Can
- Department of Medical Engineering, Faculty of Engineering, Acibadem Mehmet Ali Aydinlar University, Istanbul 34752, Turkey;
| | - Kaya Bilguvar
- Department of Genetics, School of Medicine, Yale University, New Haven, CT 06520, USA;
- Yale Center for Genome Analysis, West Haven, CT 06516, USA
| | - Yavuz Oktay
- Izmir Biomedicine and Genome Center (IBG), Izmir 35340, Turkey;
- Department of Medical Biology, Faculty of Medicine, Dokuz Eylül University, Izmir 35340, Turkey
| | - Cemaliye B. Akyerli
- Department of Medical Biology, School of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul 34752, Turkey; (C.B.A.); (Ş.K.Y.)
| | - Şirin K. Yüksel
- Department of Medical Biology, School of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul 34752, Turkey; (C.B.A.); (Ş.K.Y.)
| | - Ayça E. Danyeli
- Department of Pathology, School of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul 34752, Turkey;
| | - Tarık Tihan
- Neuropathology Division, Department of Pathology, School of Medicine, University of California San Fransisco (UCSF), San Francisco, CA 94143, USA;
| | - O. Uğur Sezerman
- Department of Biostatistics and Medical Informatics, School of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul 34752, Turkey; (E.Ü.); (S.K.); (U.G.); (O.U.S.)
| | - M. Cengiz Yakıcıer
- Department of Molecular Biology, School of Arts and Sciences, Acibadem Mehmet Ali Aydinlar University, Istanbul 34752, Turkey;
| | - M. Necmettin Pamir
- Department of Neurosurgery, School of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul 34752, Turkey;
| | - Koray Özduman
- Department of Neurosurgery, School of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul 34752, Turkey;
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