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      Activation of a cGAS-STING-mediated immune response predicts response to neoadjuvant chemotherapy in early breast cancer

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          Abstract

          Background

          The DNA-damage immune-response (DDIR) signature is an immune-driven gene expression signature retrospectively validated as predicting response to anthracycline-based therapy. This feasibility study prospectively evaluates the use of this assay to predict neoadjuvant chemotherapy response in early breast cancer.

          Methods

          This feasibility study assessed the integration of a novel biomarker into clinical workflows. Tumour samples were collected from patients receiving standard of care neoadjuvant chemotherapy (FEC + /−taxane and anti-HER2 therapy as appropriate) at baseline, mid- and post-chemotherapy. Baseline DDIR signature scores were correlated with pathological treatment response. RNA sequencing was used to assess chemotherapy/response-related changes in biologically linked gene signatures.

          Results

          DDIR signature reports were available within 14 days for 97.8% of 46 patients (13 TNBC, 16 HER2 + ve, 27 ER + HER2-ve). Positive scores predicted response to treatment (odds ratio 4.67 for RCB 0-1 disease (95% CI 1.13–15.09, P = 0.032)). DDIR positivity correlated with immune infiltration and upregulated immune-checkpoint gene expression.

          Conclusions

          This study validates the DDIR signature as predictive of response to neoadjuvant chemotherapy which can be integrated into clinical workflows, potentially identifying a subgroup with high sensitivity to anthracycline chemotherapy. Transcriptomic data suggest induction with anthracycline-containing regimens in immune restricted, “cold” tumours may be effective for immune priming.

          Trial registration

          Not applicable (non-interventional study). CRUK Internal Database Number 14232.

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          Most cited references65

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          The Molecular Signatures Database (MSigDB) hallmark gene set collection.

          The Molecular Signatures Database (MSigDB) is one of the most widely used and comprehensive databases of gene sets for performing gene set enrichment analysis. Since its creation, MSigDB has grown beyond its roots in metabolic disease and cancer to include >10,000 gene sets. These better represent a wider range of biological processes and diseases, but the utility of the database is reduced by increased redundancy across, and heterogeneity within, gene sets. To address this challenge, here we use a combination of automated approaches and expert curation to develop a collection of "hallmark" gene sets as part of MSigDB. Each hallmark in this collection consists of a "refined" gene set, derived from multiple "founder" sets, that conveys a specific biological state or process and displays coherent expression. The hallmarks effectively summarize most of the relevant information of the original founder sets and, by reducing both variation and redundancy, provide more refined and concise inputs for gene set enrichment analysis.
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            TGF-β attenuates tumour response to PD-L1 blockade by contributing to exclusion of T cells

            Therapeutic antibodies that block the programmed death-ligand 1 (PD-L1)/programmed death-1 (PD-1) pathway can induce robust and durable responses in patients with various cancers, including metastatic urothelial cancer (mUC) 1–5 . However, these responses only occur in a subset of patients. Elucidating the determinants of response and resistance is key to improving outcomes and developing new treatment strategies. Here, we examined tumours from a large cohort of mUC patients treated with an anti–PD-L1 agent (atezolizumab) and identified major determinants of clinical outcome. Response was associated with CD8+ T-effector cell phenotype and, to an even greater extent, high neoantigen or tumour mutation burden (TMB). Lack of response was associated with a signature of transforming growth factor β (TGF-β) signalling in fibroblasts, particularly in patients with CD8+ T cells that were excluded from the tumour parenchyma and instead found in the fibroblast- and collagen-rich peritumoural stroma—a common phenotype among patients with mUC. Using a mouse model that recapitulates this immune excluded phenotype, we found that therapeutic administration of a TGF-β blocking antibody together with anti–PD-L1 reduced TGF-β signalling in stromal cells, facilitated T cell penetration into the centre of the tumour, and provoked vigorous anti-tumour immunity and tumour regression. Integration of these three independent biological features provides the best basis for understanding outcome in this setting and suggests that TGF-β shapes the tumour microenvironment to restrain anti-tumour immunity by restricting T cell infiltration.
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              Pathological complete response and long-term clinical benefit in breast cancer: the CTNeoBC pooled analysis.

              Pathological complete response has been proposed as a surrogate endpoint for prediction of long-term clinical benefit, such as disease-free survival, event-free survival (EFS), and overall survival (OS). We had four key objectives: to establish the association between pathological complete response and EFS and OS, to establish the definition of pathological complete response that correlates best with long-term outcome, to identify the breast cancer subtypes in which pathological complete response is best correlated with long-term outcome, and to assess whether an increase in frequency of pathological complete response between treatment groups predicts improved EFS and OS. We searched PubMed, Embase, and Medline for clinical trials of neoadjuvant treatment of breast cancer. To be eligible, studies had to meet three inclusion criteria: include at least 200 patients with primary breast cancer treated with preoperative chemotherapy followed by surgery; have available data for pathological complete response, EFS, and OS; and have a median follow-up of at least 3 years. We compared the three most commonly used definitions of pathological complete response--ypT0 ypN0, ypT0/is ypN0, and ypT0/is--for their association with EFS and OS in a responder analysis. We assessed the association between pathological complete response and EFS and OS in various subgroups. Finally, we did a trial-level analysis to assess whether pathological complete response could be used as a surrogate endpoint for EFS or OS. We obtained data from 12 identified international trials and 11 955 patients were included in our responder analysis. Eradication of tumour from both breast and lymph nodes (ypT0 ypN0 or ypT0/is ypN0) was better associated with improved EFS (ypT0 ypN0: hazard ratio [HR] 0·44, 95% CI 0·39-0·51; ypT0/is ypN0: 0·48, 0·43-0·54) and OS (0·36, 0·30-0·44; 0·36, 0·31-0·42) than was tumour eradication from the breast alone (ypT0/is; EFS: HR 0·60, 95% CI 0·55-0·66; OS 0·51, 0·45-0·58). We used the ypT0/is ypN0 definition for all subsequent analyses. The association between pathological complete response and long-term outcomes was strongest in patients with triple-negative breast cancer (EFS: HR 0·24, 95% CI 0·18-0·33; OS: 0·16, 0·11-0·25) and in those with HER2-positive, hormone-receptor-negative tumours who received trastuzumab (EFS: 0·15, 0·09-0·27; OS: 0·08, 0·03, 0·22). In the trial-level analysis, we recorded little association between increases in frequency of pathological complete response and EFS (R(2)=0·03, 95% CI 0·00-0·25) and OS (R(2)=0·24, 0·00-0·70). Patients who attain pathological complete response defined as ypT0 ypN0 or ypT0/is ypN0 have improved survival. The prognostic value is greatest in aggressive tumour subtypes. Our pooled analysis could not validate pathological complete response as a surrogate endpoint for improved EFS and OS. US Food and Drug Administration. Copyright © 2014 Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                s.mcintosh@qub.ac.uk
                Journal
                Br J Cancer
                Br J Cancer
                British Journal of Cancer
                Nature Publishing Group UK (London )
                0007-0920
                1532-1827
                2 November 2021
                2 November 2021
                1 February 2022
                : 126
                : 2
                : 247-258
                Affiliations
                [1 ]GRID grid.4777.3, ISNI 0000 0004 0374 7521, Patrick G Johnston Centre for Cancer Research, Queen’s University Belfast, ; 97 Lisburn Road, Belfast, BT9 7AE UK
                [2 ]GRID grid.412914.b, ISNI 0000 0001 0571 3462, Belfast Health and Social Care Trust, Belfast City Hospital, ; Lisburn Road, Belfast, BT9 7AB UK
                [3 ]GRID grid.4991.5, ISNI 0000 0004 1936 8948, Department of Oncology, , Medical Sciences Division, University of Oxford, ; Oxford, UK
                [4 ]Almac Diagnostic Services, Almac Group, 19 Seagoe Industrial Estate, Craigavon, BT63 5QD UK
                [5 ]GRID grid.4777.3, ISNI 0000 0004 0374 7521, School of Pharmacy, Queen’s University Belfast, ; 97 Lisburn Road, Belfast, BT9 7AE UK
                [6 ]GRID grid.416994.7, ISNI 0000 0004 0389 6754, South Eastern Health and Social Care Trust, Ulster Hospital, ; Upper Newtownards Road, BT 16 1RH Dundonald, UK
                [7 ]GRID grid.4777.3, ISNI 0000 0004 0374 7521, Precision Medicine Centre, Patrick G Johnston Centre for Cancer Research, Queen’s University Belfast, ; 97 Lisburn Road, Belfast, BT9 7AE UK
                Author information
                http://orcid.org/0000-0002-7855-3698
                http://orcid.org/0000-0002-4898-899X
                http://orcid.org/0000-0001-9326-8513
                http://orcid.org/0000-0003-0205-4486
                http://orcid.org/0000-0003-4737-6163
                http://orcid.org/0000-0002-4123-9611
                Article
                1599
                10.1038/s41416-021-01599-0
                8770594
                34728791
                b0ddfc60-ad7b-41c9-bc83-d999f19d5a5b
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 8 February 2021
                : 21 September 2021
                : 11 October 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100000289, Cancer Research UK (CRUK);
                Award ID: C44582/A29302
                Award ID: C44582/A29302
                Award Recipient :
                Categories
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                © Springer Nature Limited 2022

                Oncology & Radiotherapy
                breast cancer,predictive markers
                Oncology & Radiotherapy
                breast cancer, predictive markers

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