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Hakobyan A, Meyenberg M, Vardazaryan N, Hancock J, Vulliard L, Loizou JI, Menche J. Pan-cancer analysis of the interplay between mutational signatures and cellular signaling. iScience 2024; 27:109873. [PMID: 38783997 PMCID: PMC11112613 DOI: 10.1016/j.isci.2024.109873] [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: 07/18/2023] [Revised: 12/19/2023] [Accepted: 04/29/2024] [Indexed: 05/25/2024] Open
Abstract
Cancer is a multi-faceted disease with intricate relationships between mutagenic processes, alterations in cellular signaling, and the tissue microenvironment. To date, these processes have been largely studied in isolation. A systematic understanding of how they interact and influence each other is lacking. Here, we present a framework for systematically characterizing the interaction between pairs of mutational signatures and between signatures and signaling pathway alterations. We applied this framework to large-scale data from TCGA and PCAWG and identified multiple positive and negative interactions, both cross֊tissue and tissue֊specific, that provide new insights into the molecular routes observed in tumorigenesis and their respective drivers. This framework allows for a more fine-grained dissection of common and distinct etiology of mutational signatures. We further identified several interactions with both positive and negative impacts on patient survival, demonstrating their clinical relevance and potential for improving personalized cancer care.
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Affiliation(s)
- Anna Hakobyan
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, AKH BT25.3, 1090 Vienna, Austria
- Max Perutz Labs, Vienna Biocenter Campus (VBC), Dr.-Bohr-Gasse 9, 1030 Vienna, Austria
- University of Vienna, Center for Molecular Biology, Department of Structural and Computational Biology, Dr.-Bohr-Gasse 9, 1030 Vienna, Austria
| | - Mathilde Meyenberg
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, AKH BT25.3, 1090 Vienna, Austria
- Max Perutz Labs, Vienna Biocenter Campus (VBC), Dr.-Bohr-Gasse 9, 1030 Vienna, Austria
- University of Vienna, Center for Molecular Biology, Department of Structural and Computational Biology, Dr.-Bohr-Gasse 9, 1030 Vienna, Austria
- Center for Cancer Research, Comprehensive Cancer Center, Medical University of Vienna, Spitalgasse 23, BT86/E 01, 1090 Vienna, Austria
| | - Nelli Vardazaryan
- Armenian Bioinformatics Institute, 3/6 Nelson Stepanyan, 0062 Yerevan, Armenia
| | - Joel Hancock
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, AKH BT25.3, 1090 Vienna, Austria
- Max Perutz Labs, Vienna Biocenter Campus (VBC), Dr.-Bohr-Gasse 9, 1030 Vienna, Austria
- University of Vienna, Center for Molecular Biology, Department of Structural and Computational Biology, Dr.-Bohr-Gasse 9, 1030 Vienna, Austria
| | - Loan Vulliard
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, AKH BT25.3, 1090 Vienna, Austria
- Max Perutz Labs, Vienna Biocenter Campus (VBC), Dr.-Bohr-Gasse 9, 1030 Vienna, Austria
- University of Vienna, Center for Molecular Biology, Department of Structural and Computational Biology, Dr.-Bohr-Gasse 9, 1030 Vienna, Austria
| | - Joanna I. Loizou
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, AKH BT25.3, 1090 Vienna, Austria
- Center for Cancer Research, Comprehensive Cancer Center, Medical University of Vienna, Spitalgasse 23, BT86/E 01, 1090 Vienna, Austria
| | - Jörg Menche
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, AKH BT25.3, 1090 Vienna, Austria
- Max Perutz Labs, Vienna Biocenter Campus (VBC), Dr.-Bohr-Gasse 9, 1030 Vienna, Austria
- University of Vienna, Center for Molecular Biology, Department of Structural and Computational Biology, Dr.-Bohr-Gasse 9, 1030 Vienna, Austria
- Faculty of Mathematics, University of Vienna, Oskar-Morgenstern-Platz 1, 1090 Vienna, Austria
- Ludwig Boltzmann Institute for Network Medicine at the University of Vienna, Augasse 2-6, 1090 Vienna, Austria
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Suba Z. DNA Damage Responses in Tumors Are Not Proliferative Stimuli, but Rather They Are DNA Repair Actions Requiring Supportive Medical Care. Cancers (Basel) 2024; 16:1573. [PMID: 38672654 PMCID: PMC11049279 DOI: 10.3390/cancers16081573] [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: 03/05/2024] [Revised: 04/05/2024] [Accepted: 04/16/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND In tumors, somatic mutagenesis presumably drives the DNA damage response (DDR) via altered regulatory pathways, increasing genomic instability and proliferative activity. These considerations led to the standard therapeutic strategy against cancer: the disruption of mutation-activated DNA repair pathways of tumors. PURPOSE Justifying that cancer cells are not enemies to be killed, but rather that they are ill human cells which have the remnants of physiologic regulatory pathways. RESULTS 1. Genomic instability and cancer development may be originated from a flaw in estrogen signaling rather than excessive estrogen signaling; 2. Healthy cells with genomic instability exhibit somatic mutations, helping DNA restitution; 3. Somatic mutations in tumor cells aim for the restoration of DNA damage, rather than further genomic derangement; 4. In tumors, estrogen signaling drives the pathways of DNA stabilization, leading to apoptotic death; 5. In peritumoral cellular infiltration, the genomic damage of the tumor induces inflammatory cytokine secretion and increased estrogen synthesis. In the inflammatory cells, an increased growth factor receptor (GFR) signaling confers the unliganded activation of estrogen receptors (ERs); 6. In breast cancer cells responsive to genotoxic therapy, constitutive mutations help the upregulation of estrogen signaling and consequential apoptosis. In breast tumors non-responsive to genotoxic therapy, the possibilities for ER activation via either liganded or unliganded pathways are exhausted, leading to farther genomic instability and unrestrained proliferation. CONCLUSIONS Understanding the real character and behavior of human tumors at the molecular level suggests that we should learn the genome repairing methods of tumors and follow them by supportive therapy, rather than provoking additional genomic damages.
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Affiliation(s)
- Zsuzsanna Suba
- Department of Molecular Pathology, National Institute of Oncology, Ráth György Str. 7-9, H-1122 Budapest, Hungary
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Boruah N, Hoyos D, Moses R, Hausler R, Desai H, Le AN, Good M, Kelly G, Raghavakaimal A, Tayeb M, Narasimhamurthy M, Doucette A, Gabriel P, Feldman MJ, Park J, de Rodas ML, Schalper KA, Goldfarb SB, Nayak A, Levine AJ, Greenbaum BD, Maxwell KN. Distinct genomic and immunologic tumor evolution in germline TP53-driven breast cancers. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.03.588009. [PMID: 38617260 PMCID: PMC11014613 DOI: 10.1101/2024.04.03.588009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
Pathogenic germline TP53 alterations cause Li-Fraumeni Syndrome (LFS), and breast cancer is the most common cancer in LFS females. We performed first of its kind multimodal analysis of LFS breast cancer (LFS-BC) compared to sporadic premenopausal BC. Nearly all LFS-BC underwent biallelic loss of TP53 with no recurrent oncogenic variants except ERBB2 (HER2) amplification. Compared to sporadic BC, in situ and invasive LFS-BC exhibited a high burden of short amplified aneuploid segments (SAAS). Pro-apoptotic p53 target genes BAX and TP53I3 failed to be up-regulated in LFS-BC as was seen in sporadic BC compared to normal breast tissue. LFS-BC had lower CD8+ T-cell infiltration compared to sporadic BC yet higher levels of proliferating cytotoxic T-cells. Within LFS-BC, progression from in situ to invasive BC was marked by an increase in chromosomal instability with a decrease in proliferating cytotoxic T-cells. Our study uncovers critical events in mutant p53-driven tumorigenesis in breast tissue.
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Affiliation(s)
- Nabamita Boruah
- Department of Medicine, Division of Hematology-Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - David Hoyos
- Computational Oncology, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Renyta Moses
- Department of Medicine, Division of Hematology-Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Ryan Hausler
- Department of Medicine, Division of Hematology-Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Heena Desai
- Department of Medicine, Division of Hematology-Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Anh N Le
- Department of Medicine, Division of Hematology-Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Madeline Good
- Department of Medicine, Division of Hematology-Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Gregory Kelly
- Department of Medicine, Division of Hematology-Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Ashvathi Raghavakaimal
- Department of Medicine, Division of Hematology-Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Maliha Tayeb
- Department of Medicine, Division of Hematology-Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Mohana Narasimhamurthy
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia PA
| | - Abigail Doucette
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Peter Gabriel
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Michael J. Feldman
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia PA
| | - Jinae Park
- Departments of Medicine and Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | | | | | - Shari B. Goldfarb
- Departments of Medicine and Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical Center, New York, NY
| | - Anupma Nayak
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia PA
| | | | - Benjamin D. Greenbaum
- Computational Oncology, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Physiology, Biophysics & Systems Biology, Weill Cornell Medical Center, New York, NY:
| | - Kara N. Maxwell
- Department of Medicine, Division of Hematology-Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Corporal Michael Crescenz Veterans Affairs Medical Center, Philadelphia, PA
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Magadeeva S, Qian X, Korff N, Flörkemeier I, Hedemann N, Rogmans C, Forster M, Arnold N, Maass N, Bauerschlag DO, Weimer JP. Assessing the Phenotype of a Homologous Recombination Deficiency Using High Resolution Array-Based Comparative Genome Hybridization in Ovarian Cancer. Int J Mol Sci 2023; 24:17467. [PMID: 38139296 PMCID: PMC10743768 DOI: 10.3390/ijms242417467] [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: 10/27/2023] [Revised: 12/05/2023] [Accepted: 12/10/2023] [Indexed: 12/24/2023] Open
Abstract
Ovarian cancer (OC) cells with homologous recombination deficiency (HRD) accumulate genomic scars (LST, TAI, and LOH) over a value of 42 in sum. PARP inhibitors can treat OC with HRD. The detection of HRD can be done directly by imaging these genomic scars, or indirectly by detecting mutations in the genes involved in HR. We show that HRD detection is also possible using high-resolution aCGH. A total of 30 OCs were analyzed retrospectively with high-resolution arrays as a test set and 19 OCs prospectively as a validation set. Mutation analysis was performed by HBOC TruRisk V2 panel to detect HR-relevant mutations. CNVs were clustered with respect to the involved HR genes versus the OC cases. In prospective validation, the HRD status determined by aCGH was compared with external HRD assessments. Two BRCA mutation carriers did not have HRD. OC could approximately differentiate into two groups with characteristic CNV patterns with different survival rates. Mutation frequencies have a linear regression on the HRD score. Mutations in individual HR-relevant genes do not always indicate HRD. This may depend on the mutation frequency in tumor cells. The aCGH shows the genomic scars of an HRD inexpensively and directly.
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Affiliation(s)
- Svetlana Magadeeva
- Department of Gynaecology and Obstetrics, Christian-Albrechts-University and University Medical Center Schleswig-Holstein, 24105 Kiel, Germany
| | - Xueqian Qian
- Department of Gynaecology and Obstetrics, Christian-Albrechts-University and University Medical Center Schleswig-Holstein, 24105 Kiel, Germany
| | - Nadine Korff
- Department of Gynaecology and Obstetrics, Christian-Albrechts-University and University Medical Center Schleswig-Holstein, 24105 Kiel, Germany
| | - Inken Flörkemeier
- Department of Gynaecology and Obstetrics, Christian-Albrechts-University and University Medical Center Schleswig-Holstein, 24105 Kiel, Germany
| | - Nina Hedemann
- Department of Gynaecology and Obstetrics, Christian-Albrechts-University and University Medical Center Schleswig-Holstein, 24105 Kiel, Germany
| | - Christoph Rogmans
- Department of Gynaecology and Obstetrics, Christian-Albrechts-University and University Medical Center Schleswig-Holstein, 24105 Kiel, Germany
| | - Michael Forster
- Institute of Clinical Molecular Biology, Christian-Albrechts-University and University Medical Center Schleswig-Holstein, 24105 Kiel, Germany
| | - Norbert Arnold
- Department of Gynaecology and Obstetrics, Christian-Albrechts-University and University Medical Center Schleswig-Holstein, 24105 Kiel, Germany
- Institute of Clinical Molecular Biology, Christian-Albrechts-University and University Medical Center Schleswig-Holstein, 24105 Kiel, Germany
| | - Nicolai Maass
- Department of Gynaecology and Obstetrics, Christian-Albrechts-University and University Medical Center Schleswig-Holstein, 24105 Kiel, Germany
| | - Dirk O. Bauerschlag
- Department of Gynaecology and Obstetrics, Christian-Albrechts-University and University Medical Center Schleswig-Holstein, 24105 Kiel, Germany
| | - Jörg P. Weimer
- Department of Gynaecology and Obstetrics, Christian-Albrechts-University and University Medical Center Schleswig-Holstein, 24105 Kiel, Germany
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Gautam P, Gupta S, Sachan M. Genome-wide expression profiling reveals novel biomarkers in epithelial ovarian cancer. Pathol Res Pract 2023; 251:154840. [PMID: 37844484 DOI: 10.1016/j.prp.2023.154840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 09/26/2023] [Accepted: 09/30/2023] [Indexed: 10/18/2023]
Abstract
Epithelial ovarian cancer (EOC) is the most aggressive and frequent malignancy detected among women worldwide. The pathophysiology of OC should, therefore be better understood to identify diagnostic, prognostic, and predictive novel biomarkers necessary for early detection, management, and prognostication. In this study, we aimed to investigate transcriptomic landscape and biomarker through RNA-seq data analysis. Further analysis by Protein Protein network identified top 10 Differentially Expressed Genes (DEGs). KEGG pathway enrichment analysis revealed the significant enrichment of DEGs in basal cell carcinoma, cell cycle and FoxO signalling pathway. The RNA-seq results of 10 DEGs were validated by QRT-PCR and TCGA database. Correlation studies were also performed between gene expression and clinical characteristics followed by survival analysis. Finally, 8 DEGs (CDKN1A, BCL6, CDC45, WNT2, TLR5, AQP5) including two novel DEGs (CSN1S1 and NKILA) were identified showing significant correlations with EOC characteristics. These may serve as interesting biomarkers and novel treatment targets and warrant further investigation into the functional outcome of EOC.
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Affiliation(s)
- Priyanka Gautam
- Department of Biotechnology, Motilal Nehru National Institute of Technology, Allahabad, Prayagraj 211004, India
| | - Sameer Gupta
- Department of Surgical Oncology, King George Medical University, Lucknow, India
| | - Manisha Sachan
- Department of Biotechnology, Motilal Nehru National Institute of Technology, Allahabad, Prayagraj 211004, India.
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He R, He X, Su Y, Wang Y, Liang T, Cui Z, Zhang L. Effect of ABC Theory Model on Negative Emotion of Young Patients with Breast Cancer During Treatment. J Multidiscip Healthc 2023; 16:1883-1888. [PMID: 37425248 PMCID: PMC10329445 DOI: 10.2147/jmdh.s405564] [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: 01/20/2023] [Accepted: 05/19/2023] [Indexed: 07/11/2023] Open
Abstract
Objective To evaluate the effect of emotional ABC theory on anxiety and depression in young patients with breast cancer. Methods A total of 200 eligible young patients with breast cancer were randomly divided into control group (N = 100) and experimental group (N = 100). The control group received routine treatment, while the experimental group received emotional ABC theory intervention at the same time. Results The Self Rating Anxiety Scale (SAS) and Self Rating Depression Scale (SDS) scores of the two groups were observed before and after nursing. There was no significant difference between the two groups before nursing (P > 0.05), but there was significant difference between the two groups after nursing, the control group was significantly higher than the experimental group (P < 0.05). The satisfaction degree of the control group was significantly lower than that of the experimental group (P < 0.05). Conclusion Young patients with breast cancer using emotional ABC theory can effectively improve negative emotions, clinical can promote the nursing program.
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Affiliation(s)
- Ruijing He
- Department of Neurosurgery, Affiliated Hospital of Hebei Engineering University, Handan, Hebei Province, 056002, People’s Republic of China
| | - Xiaojuan He
- Department of Neurosurgery, Affiliated Hospital of Hebei Engineering University, Handan, Hebei Province, 056002, People’s Republic of China
| | - Yongchao Su
- Department of Operating Room, The First Hospital of Handan, Handan, Hebei Province, 056002, People’s Republic of China
| | - Yongfeng Wang
- Department of Neurosurgery, Affiliated Hospital of Hebei Engineering University, Handan, Hebei Province, 056002, People’s Republic of China
| | - Tao Liang
- Department of Neurosurgery, Affiliated Hospital of Hebei Engineering University, Handan, Hebei Province, 056002, People’s Republic of China
| | - Zhiqiang Cui
- Department of Neurosurgery, Affiliated Hospital of Hebei Engineering University, Handan, Hebei Province, 056002, People’s Republic of China
| | - Linlin Zhang
- Department of Neurosurgery, Affiliated Hospital of Hebei Engineering University, Handan, Hebei Province, 056002, People’s Republic of China
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