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James N, Owusu E, Rivera G, Bandyopadhyay D. Small Molecule Therapeutics in the Pipeline Targeting for Triple-Negative Breast Cancer: Origin, Challenges, Opportunities, and Mechanisms of Action. Int J Mol Sci 2024; 25:6285. [PMID: 38892472 PMCID: PMC11172743 DOI: 10.3390/ijms25116285] [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: 05/03/2024] [Revised: 05/31/2024] [Accepted: 06/03/2024] [Indexed: 06/21/2024] Open
Abstract
Triple-negative breast cancer (TNBC) cells are devoid of estrogen receptors (ERs), progesterone receptor (PRs), and human epidermal growth factor receptor 2 (HER2), and it (TNBC) counts for about 10-15% of all breast cancers. TNBC is highly invasive, having a faster growth rate and a higher risk of metastasis and recurrence. Still, chemotherapy is one of the widely used options for treating TNBC. This study reviewed the histological and molecular characterization of TNBC subtypes, signaling pathways that are aberrantly expressed, and small molecules targeting these pathways, as either single agents or in combination with other therapeutic agents like chemotherapeutics, immunotherapeutics, and antibody-drug conjugates; their mechanisms of action, challenges, and future perspectives were also reviewed. A detailed analytical review was carried out using the literature collected from the SciFinder, PubMed, ScienceDirect, Google Scholar, ACS, Springer, and Wiley databases. Several small molecule inhibitors were found to be therapeutics for treating TNBC. The mechanism of action and the different signaling pathways through which the small molecules exert their effects were studied, including clinical trials, if reported. These small molecule inhibitors include buparlisib, everolimus, vandetanib, apatinib, olaparib, salidroside, etc. Some of the signaling pathways involved in TNBC, including the VEGF, PARP, STAT3, MAPK, EGFR, P13K, and SRC pathways, were discussed. Due to the absence of these biomarkers, drug development for treating TNBC is challenging, with chemotherapy being the main therapeutic agent. However, chemotherapy is associated with chemoresistance and a high toxicity to healthy cells as side effects. Hence, there is a continuous demand for small-molecule inhibitors that specifically target several signaling pathways that are abnormally expressed in TNBC. We attempted to include all the recent developments in this field. Any omission is truly unintentional.
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Affiliation(s)
- Nneoma James
- School of Integrative Biological and Chemical Sciences, The University of Texas Rio Grande Valley, 1201 West University Drive, Edinburg, TX 78539, USA; (N.J.); (E.O.)
| | - Esther Owusu
- School of Integrative Biological and Chemical Sciences, The University of Texas Rio Grande Valley, 1201 West University Drive, Edinburg, TX 78539, USA; (N.J.); (E.O.)
| | - Gildardo Rivera
- Laboratorio de Biotecnología Farmacéutica, Centro de Biotecnología Genómica, Instituto Politécnico Nacional, Reynosa 88710, Mexico;
| | - Debasish Bandyopadhyay
- School of Integrative Biological and Chemical Sciences, The University of Texas Rio Grande Valley, 1201 West University Drive, Edinburg, TX 78539, USA; (N.J.); (E.O.)
- School of Earth Environment & Marine Sciences (SEEMS), The University of Texas Rio Grande Valley, 1201 West University Drive, Edinburg, TX 78539, USA
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Bar Y, Keenan JC, Niemierko A, Medford AJ, Isakoff SJ, Ellisen LW, Bardia A, Vidula N. Genomic spectrum of actionable alterations in serial cell free DNA (cfDNA) analysis of patients with metastatic breast cancer. NPJ Breast Cancer 2024; 10:27. [PMID: 38605020 PMCID: PMC11009384 DOI: 10.1038/s41523-024-00633-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 03/25/2024] [Indexed: 04/13/2024] Open
Abstract
We aimed to study the incidence and genomic spectrum of actionable alterations (AA) detected in serial cfDNA collections from patients with metastatic breast cancer (MBC). Patients with MBC who underwent plasma-based cfDNA testing (Guardant360®) between 2015 and 2021 at an academic institution were included. For patients with serial draws, new pathogenic alterations in each draw were classified as actionable alterations (AA) if they met ESCAT I or II criteria of the ESMO Scale for Clinical Actionability of Molecular Targets (ESCAT). A total of 344 patients with hormone receptor-positive (HR+)/HER2-negative (HER2-) MBC, 95 patients with triple-negative (TN) MBC and 42 patients with HER2-positive (HER2 + ) MBC had a baseline (BL) cfDNA draw. Of these, 139 HR+/HER2-, 33 TN and 13 HER2+ patients underwent subsequent cfDNA draws. In the HR+/HER2- cohort, the proportion of patients with new AA decreased from 63% at BL to 27-33% in the 2nd-4th draws (p < 0.0001). While some of the new AA in subsequent draws from patients with HR+/HER2- MBC were new actionable variants in the same genes that were known to be altered in previous draws, 10-24% of patients had new AA in previously unaltered genes. The incidence of new AA also decreased with subsequent draws in the TN and HER2+ cohorts (TN: 25% to 0-9%, HER2 + : 38% to 14-15%). While the incidence of new AA in serial cfDNA decreased with subsequent draws across all MBC subtypes, new alterations with a potential impact on treatment selection continued to emerge, particularly for patients with HR+/HER2- MBC.
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Affiliation(s)
- Yael Bar
- Massachusetts General Hospital Cancer Center, Boston, MA, USA.
- Tel Aviv Sourasky Medical Center and The Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
| | | | | | - Arielle J Medford
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Steven J Isakoff
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Leif W Ellisen
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Aditya Bardia
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Neelima Vidula
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
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Chi Y, Su M, Zhou D, Zheng F, Zhang B, Qiang L, Ren G, Song L, Bu B, Fang S, Yu B, Zhou J, Yu J, Li H. Dynamic analysis of circulating tumor DNA to predict the prognosis and monitor the treatment response of patients with metastatic triple-negative breast cancer: A prospective study. eLife 2023; 12:e90198. [PMID: 37929934 PMCID: PMC10627511 DOI: 10.7554/elife.90198] [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: 06/19/2023] [Accepted: 10/22/2023] [Indexed: 11/07/2023] Open
Abstract
Background Limited data are available on applying circulating tumor DNA (ctDNA) in metastatic triple-negative breast cancer (mTNBC) patients. Here, we investigated the value of ctDNA for predicting the prognosis and monitoring the treatment response in mTNBC patients. Methods We prospectively enrolled 70 Chinese patients with mTNBC who had progressed after ≤2 lines of chemotherapy and collected blood samples to extract ctDNA for 457-gene targeted panel sequencing. Results Patients with ctDNA+, defined by 12 prognosis-relevant mutated genes, had a shorter progression-free survival (PFS) than ctDNA- patients (5.16 months vs. 9.05 months, p=0.001), and ctDNA +was independently associated with a shorter PFS (HR, 95% CI: 2.67, 1.2-5.96; p=0.016) by multivariable analyses. Patients with a higher mutant-allele tumor heterogeneity (MATH) score (≥6.316) or a higher ctDNA fraction (ctDNA%≥0.05) had a significantly shorter PFS than patients with a lower MATH score (5.67 months vs.11.27 months, p=0.007) and patients with a lower ctDNA% (5.45 months vs. 12.17 months, p<0.001), respectively. Positive correlations with treatment response were observed for MATH score (R=0.24, p=0.014) and ctDNA% (R=0.3, p=0.002), but not the CEA, CA125, or CA153. Moreover, patients who remained ctDNA +during dynamic monitoring tended to have a shorter PFS than those who did not (3.90 months vs. 6.10 months, p=0.135). Conclusions ctDNA profiling provides insight into the mutational landscape of mTNBC and may reliably predict the prognosis and treatment response of mTNBC patients. Funding This work was supported by the National Natural Science Foundation of China (Grant No. 81902713), Natural Science Foundation of Shandong Province (Grant No. ZR2019LZL018), Breast Disease Research Fund of Shandong Provincial Medical Association (Grant No. YXH2020ZX066), the Start-up Fund of Shandong Cancer Hospital (Grant No. 2020-PYB10), Beijing Science and Technology Innovation Fund (Grant No. KC2021-ZZ-0010-1).
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Affiliation(s)
- Yajing Chi
- Department of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesJinanChina
- School of Medicine, Nankai UniversityTianjinChina
| | - Mu Su
- Department of Bioinformatics, Berry Oncology CorporationBeijingChina
| | - Dongdong Zhou
- Department of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Fangchao Zheng
- Department of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Baoxuan Zhang
- Department of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Ling Qiang
- Department of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Guohua Ren
- Department of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Lihua Song
- Department of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Bing Bu
- Department of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Shu Fang
- Department of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Bo Yu
- Department of Bioinformatics, Berry Oncology CorporationBeijingChina
| | - Jinxing Zhou
- Department of Bioinformatics, Berry Oncology CorporationBeijingChina
| | - Jinming Yu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Huihui Li
- Department of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesJinanChina
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Tierno D, Grassi G, Scomersi S, Bortul M, Generali D, Zanconati F, Scaggiante B. Next-Generation Sequencing and Triple-Negative Breast Cancer: Insights and Applications. Int J Mol Sci 2023; 24:ijms24119688. [PMID: 37298642 DOI: 10.3390/ijms24119688] [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: 04/29/2023] [Revised: 05/29/2023] [Accepted: 06/01/2023] [Indexed: 06/12/2023] Open
Abstract
The poor survival of triple-negative breast cancer (TNBC) is due to its aggressive behavior, large heterogeneity, and high risk of recurrence. A comprehensive molecular investigation of this type of breast cancer using high-throughput next-generation sequencing (NGS) methods may help to elucidate its potential progression and discover biomarkers related to patient survival. In this review, the NGS applications in TNBC research are described. Many NGS studies point to TP53 mutations, immunocheckpoint response genes, and aberrations in the PIK3CA and DNA repair pathways as recurrent pathogenic alterations in TNBC. Beyond their diagnostic and predictive/prognostic value, these findings suggest potential personalized treatments in PD -L1-positive TNBC or in TNBC with a homologous recombination deficit. Moreover, the comprehensive sequencing of large genomes with NGS has enabled the identification of novel markers with clinical value in TNBC, such as AURKA, MYC, and JARID2 mutations. In addition, NGS investigations to explore ethnicity-specific alterations have pointed to EZH2 overexpression, BRCA1 alterations, and a BRCA2-delaAAGA mutation as possible molecular signatures of African and African American TNBC. Finally, the development of long-read sequencing methods and their combination with optimized short-read techniques promise to improve the efficiency of NGS approaches for future massive clinical use.
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Affiliation(s)
- Domenico Tierno
- Department of Life Sciences, University of Trieste, 34127 Trieste, Italy
| | - Gabriele Grassi
- Department of Life Sciences, University of Trieste, 34127 Trieste, Italy
| | - Serena Scomersi
- Breast Unit-Azienda Sanitaria Universitaria Integrata Giuliano Isontina ASUGI, University of Trieste, 34149 Trieste, Italy
| | - Marina Bortul
- Department of Medical, Surgical and Health Sciences, University of Trieste, 34149 Trieste, Italy
| | - Daniele Generali
- Department of Medical, Surgical and Health Sciences, University of Trieste, 34149 Trieste, Italy
- Azienda Socio-Sanitaria Territoriale di Cremona-ASST, Breast Cancer Unit and Translational Research Unit, 26100 Cremona, Italy
| | - Fabrizio Zanconati
- Department of Medical, Surgical and Health Sciences, University of Trieste, 34149 Trieste, Italy
| | - Bruna Scaggiante
- Department of Life Sciences, University of Trieste, 34127 Trieste, Italy
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Tan Q, Chi Y, Su M, Zhou J, Zhou D, Zheng F, Man X, Sun S, Huang J, Li H. Potential predictive value of circulating tumor DNA (ctDNA) mutations for the efficacy of immune checkpoint inhibitors in advanced triple-negative breast cancer. Front Genet 2023; 14:1125970. [PMID: 37007962 PMCID: PMC10060982 DOI: 10.3389/fgene.2023.1125970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 02/27/2023] [Indexed: 03/17/2023] Open
Abstract
Background: In recent years, tumor immunotherapy has become a viable treatment option for triple negative breast cancer (TNBC). Among these, immune checkpoint inhibitors (ICIs) have demonstrated good efficacy in advanced TNBC patients with programmed death-ligand 1 (PD-L1) positive expression. However, only 63% of PD-L1-positive individuals showed any benefit from ICIs. Therefore, finding new predictive biomarkers will aid in identifying patients who are likely to benefit from ICIs. In this study, we used liquid biopsies and next-generation sequencing (NGS) to dynamically detect changes in circulating tumor DNA (ctDNA) in the blood of patients with advanced TNBC treated with ICIs and focused on its potential predictive value.Methods: From May 2018 to October 2020, patients with advanced TNBC treated with ICIs at Shandong Cancer Hospital were included prospectively. Patient blood samples were obtained at the pretreatment baseline, first response evaluation, and disease progression timepoints. Furthermore, 457 cancer-related genes were evaluated by NGS, and patients’ ctDNA mutations, gene mutation rates, and other indicators were determined and coupled with clinical data for statistical analysis.Results: A total of 11 TNBC patients were included in this study. The overall objective response rate (ORR) was 27.3%, with a 6.1-month median progression-free survival (PFS) (95% confidence interval: 3.877–8.323 months). Of the 11 baseline blood samples, 48 mutations were found, with the most common mutation types being frame shift indels, synonymous single-nucleotide variations (SNVs), frame indel missenses, splicing, and stop gains. Additionally, univariate Cox regression analysis revealed that advanced TNBC patients with one of 12 mutant genes (CYP2D6 deletion and GNAS, BCL2L1, H3F3C, LAG3, FGF23, CCND2, SESN1, SNHG16, MYC, HLA-E, and MCL1 gain) had a shorter PFS with ICI treatment (p < 0.05). To some extent, dynamic changes of ctDNA might indicate the efficacy of ICIs.Conclusion: Our data indicate that ICI efficacy in patients with advanced TNBC may be predicted by 12 mutant ctDNA genes. Additionally, dynamic alterations in peripheral blood ctDNA might be used to track the effectiveness of ICI therapy in those with advanced TNBC.
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Affiliation(s)
- Qiaorui Tan
- Department of Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Yajing Chi
- Department of Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
- School of Medicine, Nankai University, Tianjin, China
| | - Mu Su
- Berry Oncology Corporation, Beijing, China
| | | | - Dongdong Zhou
- Department of Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Fangchao Zheng
- Department of Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Xiaochu Man
- Department of Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Shujuan Sun
- Department of Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Jie Huang
- Department of Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Huihui Li
- Department of Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
- *Correspondence: Huihui Li,
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An Overview of Circulating Cell-Free Nucleic Acids in Diagnosis and Prognosis of Triple-Negative Breast Cancer. Int J Mol Sci 2023; 24:ijms24021799. [PMID: 36675313 PMCID: PMC9864244 DOI: 10.3390/ijms24021799] [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: 01/04/2023] [Revised: 01/13/2023] [Accepted: 01/14/2023] [Indexed: 01/19/2023] Open
Abstract
Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer due to its molecular heterogeneity and poor clinical outcomes. Analysis of circulating cell-free tumor nucleic acids (ctNAs) can improve our understanding of TNBC and provide efficient and non-invasive clinical biomarkers that may be representative of tumor heterogeneity. In this review, we summarize the potential of ctNAs to aid TNBC diagnosis and prognosis. For example, tumor fraction of circulating cell-free DNA (TFx) may be useful for molecular prognosis of TNBC: high TFx levels after neoadjuvant chemotherapy have been associated with shorter progression-free survival and relapse-free survival. Mutations and copy number variations of TP53 and PIK3CA/AKT genes in plasma may be important markers of TNBC onset, progression, metastasis, and for clinical follow-up. In contrast, the expression profile of circulating cell-free tumor non-coding RNAs (ctncRNAs) can be predictive of molecular subtypes of breast cancer and thus aid in the identification of TBNC. Finally, dysregulation of some circulating cell-free tumor miRNAs (miR17, miR19a, miR19b, miR25, miR93, miR105, miR199a) may have a predictive value for chemotherapy resistance. In conclusion, a growing number of efforts are highlighting the potential of ctNAs for future clinical applications in the diagnosis, prognosis, and follow-up of TNBC.
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Savas P, Lo LL, Luen SJ, Blackley EF, Callahan J, Moodie K, van Geelen CT, Ko YA, Weng CF, Wein L, Silva MJ, Zivanovic Bujak A, Yeung MM, Ftouni S, Hicks RJ, Francis PA, Lee CK, Dawson SJ, Loi S. Alpelisib monotherapy for PI3K-altered, pre-treated advanced breast cancer: a phase 2 study. Cancer Discov 2022; 12:2058-2073. [PMID: 35771551 DOI: 10.1158/2159-8290.cd-21-1696] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 05/12/2022] [Accepted: 06/26/2022] [Indexed: 11/16/2022]
Abstract
There is limited knowledge on the benefit of the α-subunit specific PI3K inhibitor alpelisib in later lines of therapy for advanced ER+HER2- and triple negative breast cancer (TNBC). We conducted a phase 2 multi-cohort study of alpelisib monotherapy in patients with advanced PI3K pathway mutant ER+HER2- and TNBC. In the intention to treat ER+ cohort, the overall response rate was 30% and the clinical benefit rate was 36%. Decline in PI3K pathway mutant ctDNA levels from baseline to week 8 while on therapy was significantly associated with a partial response, clinical benefit and improved progression free-survival (HR 0.24 95% CI 0.083 - 0.67, P = 0.0065). Detection of ESR1 mutations at baseline in plasma was also associated with clinical benefit and improved progression free survival (HR 0.22 95% CI 0.078 - 0.60, P = 0.003).
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Affiliation(s)
- Peter Savas
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Louisa L Lo
- Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Stephen J Luen
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | | | | | - Kate Moodie
- Peter MacCallum Cancer Centre, Melbourne, Australia
| | | | - Yi-An Ko
- Peter MacCallum Cancer Centre, Australia
| | | | - Lironne Wein
- Peter MacCallum Cancer Centre, Melbourne, Australia
| | | | | | | | - Sarah Ftouni
- Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia
| | | | | | - Chee Khoon Lee
- University of Sydney, Sydney, New South Wales, Australia
| | | | - Sherene Loi
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
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Tang Y, Wang H, He Q, Chen Y, Wang J. Bioinformatics Method Was Used to Analyze the Highly Expressed Gene FAM83A of Breast Cancer in Young Women. Appl Bionics Biomech 2022; 2022:5358030. [PMID: 35392358 PMCID: PMC8983250 DOI: 10.1155/2022/5358030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 03/05/2022] [Accepted: 03/08/2022] [Indexed: 11/29/2022] Open
Abstract
Objectives Preliminary analysis of breast cancer related to unknown functional gene FAM83A through bioinformatics knowledge to inform further experimental studies. Select high expression genes for breast cancer and use bioinformatics methods to predict the biological function of FAM83A. Methods Genes with significant differences in expression between breast tumors and normal breast tissue libraries were selected from CGAP's SAGE Digital Gene Expression Displayer (DGED) database. An unknown functional gene, FAM83A, which is highly expressed in breast cancer, was screened. We performed an analysis of the gene structure, subcellular localization, physicochemical properties of the encoding products, functional sites, protein structure, and functional domains. Results Through SAGE DGED, a total of 185 genes with expression differences were found. The structure and function of FAM83A have ideal predictions, and it is generally determined that this gene encodes a nuclear protein with a nucleoprotein. The active site of PLDc and the functional domain of DUF1669 can be involved in signal transduction and gene expression regulation in tumorigenesis and metastasis. Digital gene representation of the Tumor Genome Project Data Library was used to select differentially expressed genes in breast cancer tissue and breast benign tumor tissue. Conclusion Studies show that FAM83A is a potential research target associated with tumorigenesis and metastasis. Initial tests confirmed the expression of this gene. Lay a solid foundation for further research learning. FAM83A is a highly expressed gene in breast cancer and can serve as a target for studying molecular mechanisms in breast cancer.
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Affiliation(s)
- Yongzhe Tang
- The International Peace Maternal and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Hao Wang
- Teaching Center of Experimental Medicine, Shanghai Medical College, Fudan University, 138 Yixueyuan Rd, Shanghai 200032, China
| | - Qi He
- The International Peace Maternal and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Yuanyuan Chen
- The International Peace Maternal and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Jie Wang
- The International Peace Maternal and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
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9
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Sabatier R, Vicier C, Garnier S, Guille A, Carbuccia N, Isambert N, Dalenc F, Robert M, Levy C, Pakradouni J, Adelaïde J, Chaffanet M, Sfumato P, Mamessier E, Bertucci F, Goncalves A. Circulating tumor DNA predicts efficacy of a dual AKT/p70S6K inhibitor (LY2780301) plus paclitaxel in metastatic breast cancer: plasma analysis of the TAKTIC phase IB/II study. Mol Oncol 2022; 16:2057-2070. [PMID: 35122700 PMCID: PMC9120890 DOI: 10.1002/1878-0261.13188] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 01/07/2022] [Accepted: 02/03/2022] [Indexed: 11/10/2022] Open
Abstract
The phosphatidylinositol-3-kinase (PI3K)/AKT/mammalian target of rapamycin (mTOR) pathway is frequently activated in HER2-negative breast cancer and may play a role in taxane resistance. The phase IB/II TAKTIC trial (NCT01980277) has shown that combining a dual AKT and p70 ribosomal protein S6 kinase (p70S6K) inhibitor (LY2780301) taken orally with weekly paclitaxel in HER2-negative advanced breast cancer is feasible, with preliminary evidence of efficacy. We wanted to explore whether circulating tumor DNA (ctDNA) may be a surrogate marker of treatment efficacy in this setting. Serial plasma samples were collected and cell-free DNA was sequenced using low-coverage whole-genome sequencing, and analysis was completed with droplet digital PCR for some patients with driver mutations. Baseline tumor fraction (TF) and TF after 7 weeks on treatment were compared to progression-free survival (PFS) and overall response rate. We also explored circulating copy number alterations associated with treatment failure. Of the 51 patients enrolled in the TAKTIC trial, at least one plasma sample was available for 44 cases (96 time points). All patients with tumor TP53, PI3KCA or AKT1 mutations harbored at least one of these alterations in plasma. TF at inclusion was correlated to PFS (6m-PFS was 92% for ctDNAneg patients vs 68% for ctDNApos cases; HR=3.45, 95%CI [1.34-8.90], p=0.007). ctDNA status at week 7 was not correlated to prognosis. Even though most circulating copy number alterations were conserved at disease progression, some genomic regions of interest were altered in post-progression samples. In conclusions, ctDNA detection at baseline was associated with shorter PFS in patients included in the TAKTIC trial. Plasma-based copy number analysis may help to identify alterations involved in resistance to treatment.
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Affiliation(s)
- Renaud Sabatier
- Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, CRCM-Predictive Oncology laboratory, Marseille, France.,Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, Department of Medical Oncology, Marseille, France
| | - Cécile Vicier
- Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, Department of Medical Oncology, Marseille, France
| | - Séverine Garnier
- Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, CRCM-Predictive Oncology laboratory, Marseille, France
| | - Arnaud Guille
- Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, CRCM-Predictive Oncology laboratory, Marseille, France
| | - Nadine Carbuccia
- Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, CRCM-Predictive Oncology laboratory, Marseille, France
| | - Nicolas Isambert
- Drug Development Department, Centre Georges François Leclerc, Dijon, France
| | - Florence Dalenc
- Department of Medical Oncology, Institut Claudius Regaud, IUCT-Oncopole, CRCT, Inserm, Toulouse, France
| | - Marie Robert
- Institut de Cancérologie de l'Ouest-René Gauducheau, Saint-Herblain, France
| | - Christelle Levy
- Centre François Baclesse, Department of Medical Oncology, Caen, France
| | - Jihane Pakradouni
- Depatment of Clinical Research and Innovation, Institut Paoli-Calmettes, Marseille, France
| | - José Adelaïde
- Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, CRCM-Predictive Oncology laboratory, Marseille, France
| | - Max Chaffanet
- Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, CRCM-Predictive Oncology laboratory, Marseille, France
| | - Patrick Sfumato
- Depatment of Clinical Research and Innovation, Institut Paoli-Calmettes, Marseille, France
| | - Emilie Mamessier
- Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, Department of Medical Oncology, Marseille, France
| | - François Bertucci
- Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, CRCM-Predictive Oncology laboratory, Marseille, France.,Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, Department of Medical Oncology, Marseille, France
| | - Anthony Goncalves
- Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, CRCM-Predictive Oncology laboratory, Marseille, France.,Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, Department of Medical Oncology, Marseille, France
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10
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Sant M, Bernat-Peguera A, Felip E, Margelí M. Role of ctDNA in Breast Cancer. Cancers (Basel) 2022; 14:310. [PMID: 35053474 PMCID: PMC8773730 DOI: 10.3390/cancers14020310] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 01/01/2022] [Accepted: 01/06/2022] [Indexed: 12/16/2022] Open
Abstract
Breast cancer is currently classified by immunohistochemistry. However, technological advances in the detection of circulating tumor DNA (ctDNA) have made new options available for diagnosis, classification, biological knowledge, and treatment selection. Breast cancer is a heterogeneous disease and ctDNA can accurately reflect this heterogeneity, allowing us to detect, monitor, and understand the evolution of the disease. Breast cancer patients have higher levels of circulating DNA than healthy subjects, and ctDNA can be used for different objectives at different timepoints of the disease, ranging from screening and early detection to monitoring for resistance mutations in advanced disease. In early breast cancer, ctDNA clearance has been associated with higher rates of complete pathological response after neoadjuvant treatment and with fewer recurrences after radical treatments. In metastatic disease, ctDNA can help select the optimal sequencing of treatments. In the future, thanks to new bioinformatics tools, the use of ctDNA in breast cancer will become more frequent, enhancing our knowledge of the biology of tumors. Moreover, deep learning algorithms may also be able to predict breast cancer evolution or treatment sensitivity. In the coming years, continued research and the improvement of liquid biopsy techniques will be key to the implementation of ctDNA analysis in routine clinical practice.
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Affiliation(s)
- Marta Sant
- Medical Oncology Department, Catalan Institute of Oncology-Badalona, Hospital Germans Trias i Pujol (HGTiP), 08916 Badalona, Spain
| | - Adrià Bernat-Peguera
- Badalona Applied Research Group in Oncology (B-ARGO), Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP), Universitat Autònoma de Barcelona, 08916 Badalona, Spain
| | - Eudald Felip
- Medical Oncology Department, Catalan Institute of Oncology-Badalona, Hospital Germans Trias i Pujol (HGTiP), 08916 Badalona, Spain
- Badalona Applied Research Group in Oncology (B-ARGO), Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP), Universitat Autònoma de Barcelona, 08916 Badalona, Spain
| | - Mireia Margelí
- Medical Oncology Department, Catalan Institute of Oncology-Badalona, Hospital Germans Trias i Pujol (HGTiP), 08916 Badalona, Spain
- Badalona Applied Research Group in Oncology (B-ARGO), Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP), Universitat Autònoma de Barcelona, 08916 Badalona, Spain
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11
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Dent R, Oliveira M, Isakoff SJ, Im SA, Espié M, Blau S, Tan AR, Saura C, Wongchenko MJ, Xu N, Bradley D, Reilly SJ, Mani A, Kim SB. Final results of the double-blind placebo-controlled randomized phase 2 LOTUS trial of first-line ipatasertib plus paclitaxel for inoperable locally advanced/metastatic triple-negative breast cancer. Breast Cancer Res Treat 2021; 189:377-386. [PMID: 34264439 DOI: 10.1007/s10549-021-06143-5] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 02/08/2021] [Indexed: 11/26/2022]
Abstract
PURPOSE In LOTUS (NCT02162719), adding the oral AKT inhibitor ipatasertib to first-line paclitaxel for locally advanced/metastatic triple-negative breast cancer (aTNBC) improved progression-free survival (PFS; primary endpoint), with an enhanced effect in patients with PIK3CA/AKT1/PTEN-altered tumors (FoundationOne next-generation sequencing [NGS] assay). We report final overall survival (OS) results. METHODS Eligible patients had measurable previously untreated aTNBC. Patients were stratified by prior (neo)adjuvant therapy, chemotherapy-free interval, and tumor immunohistochemistry PTEN status, and were randomized 1:1 to paclitaxel 80 mg/m2 (days 1, 8, 15) plus ipatasertib 400 mg or placebo (days 1-21) every 28 days until disease progression or unacceptable toxicity. OS (intent-to-treat [ITT], immunohistochemistry PTEN-low, and PI3K/AKT pathway-activated [NGS PIK3CA/AKT1/PTEN-altered] populations) was a secondary endpoint. RESULTS Median follow-up was 19.0 versus 16.0 months in the ipatasertib-paclitaxel versus placebo-paclitaxel arms, respectively. In the ITT population (n = 124), median OS was numerically longer with ipatasertib-paclitaxel than placebo-paclitaxel (hazard ratio 0.80, 95% CI 0.50-1.28; median 25.8 vs 16.9 months, respectively; 1-year OS 83% vs 68%). Likewise, median OS favored ipatasertib-paclitaxel in the PTEN-low (n = 48; 23.1 vs 15.8 months; hazard ratio 0.83) and PIK3CA/AKT1/PTEN-altered (n = 42; 25.8 vs 22.1 months; hazard ratio 1.13) subgroups. The ipatasertib-paclitaxel safety profile was unchanged. CONCLUSIONS Final OS results show a numerical trend favoring ipatasertib-paclitaxel and median OS exceeding 2 years with ipatasertib-paclitaxel. Overall, results are consistent with the reported PFS benefit; interpretation within biomarker-defined subgroups is complicated by small sample sizes and TNBC heterogeneity.
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Affiliation(s)
- Rebecca Dent
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore.
- Duke-NUS Medical School, 11 Hospital Crescent, Singapore, Singapore.
| | - Mafalda Oliveira
- Medical Oncology Department, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Steven J Isakoff
- Division of Hematology and Oncology, Massachusetts General Hospital, Boston, MA, USA
| | - Seock-Ah Im
- Department of Internal Medicine, Seoul National University Hospital, and Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Marc Espié
- Department of Medical Oncology, Breast Disease Center, Hospital Saint Louis, Paris, France
| | - Sibel Blau
- Oncology Division, Northwest Medical Specialties, Puyallup, WA, USA
| | - Antoinette R Tan
- Department of Solid Tumor and Investigational Therapeutics, Levine Cancer Institute, Atrium Health, Charlotte, NC, USA
| | - Cristina Saura
- Medical Oncology Department, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | | | - Na Xu
- Biostatistics, Genentech, Inc., South San Francisco, CA, USA
| | - Denise Bradley
- Pharma Development, Roche Products Ltd, Welwyn Garden City, UK
| | | | - Aruna Mani
- Product Development Oncology, Genentech, Inc., South San Francisco, CA, USA
| | - Sung-Bae Kim
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
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12
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Alcon C, Zañudo JGT, Albert R, Wagle N, Scaltriti M, Letai A, Samitier J, Montero J. ER+ Breast Cancer Strongly Depends on MCL-1 and BCL-xL Anti-Apoptotic Proteins. Cells 2021; 10:1659. [PMID: 34359829 PMCID: PMC8304651 DOI: 10.3390/cells10071659] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 06/18/2021] [Accepted: 06/28/2021] [Indexed: 12/13/2022] Open
Abstract
Breast cancer is the most frequent type of cancer and the major cause of mortality in women. The rapid development of various therapeutic options has led to the improvement of treatment outcomes; nevertheless, one-third of estrogen receptor (ER)-positive patients relapse due to cancer cell acquired resistance. Here, we use dynamic BH3 profiling (DBP), a functional predictive assay that measures net changes in apoptotic priming, to find new effective treatments for ER+ breast cancer. We observed anti-apoptotic adaptations upon treatment that pointed to metronomic therapeutic combinations to enhance cytotoxicity and avoid resistance. Indeed, we found that the anti-apoptotic proteins BCL-xL and MCL-1 are crucial for ER+ breast cancer cells resistance to therapy, as they exert a dual inhibition of the pro-apoptotic protein BIM and compensate for each other. In addition, we identified the AKT inhibitor ipatasertib and two BH3 mimetics targeting these anti-apoptotic proteins, S63845 and A-1331852, as new potential therapies for this type of cancer. Therefore, we postulate the sequential inhibition of both proteins using BH3 mimetics as a new treatment option for refractory and relapsed ER+ breast cancer tumors.
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Affiliation(s)
- Clara Alcon
- Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology (BIST), 08028 Barcelona, Spain; (C.A.); (J.S.)
| | | | - Reka Albert
- Department of Biology, The Pennsylvania State University, University Park, PA 16802-6300, USA;
| | - Nikhil Wagle
- Eli and Edythe L. Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; (J.G.T.Z.); (N.W.)
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115, USA;
| | - Maurizio Scaltriti
- Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA;
| | - Anthony Letai
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115, USA;
| | - Josep Samitier
- Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology (BIST), 08028 Barcelona, Spain; (C.A.); (J.S.)
- Department of Electronics and Biomedical Engineering, University of Barcelona (UB), 08028 Barcelona, Spain
- Networking Biomedical Research Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), 28029 Madrid, Spain
| | - Joan Montero
- Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology (BIST), 08028 Barcelona, Spain; (C.A.); (J.S.)
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