NPJ Breast CancerPub Date : 2026-05-15DOI: 10.1038/s41523-026-00963-8
Kenan Aloss, Mallory I Frederick, Saima Hassan
{"title":"Sequencing PARP inhibitors in breast cancer: lessons learned and emerging insights.","authors":"Kenan Aloss, Mallory I Frederick, Saima Hassan","doi":"10.1038/s41523-026-00963-8","DOIUrl":"10.1038/s41523-026-00963-8","url":null,"abstract":"<p><p>Poly (ADP-ribose) polymerase inhibitors (PARPi) have emerged as an important single-agent targeted therapeutic option for a subpopulation of breast cancer patients. While PARPi combinations have shown synergy in the pre-clinical setting, concomitant regimens have shown limited clinical benefit. Optimizing treatment schedules is therefore needed to improve outcomes. Sequential dosing of PARPi with cytotoxic, targeted, or immune therapies can enhance efficacy by sustaining DNA damage, suppressing DNA repair, and modulating the immune response. This approach also decreases toxicity by exploiting differences in replication stress between normal and cancer cells. Here, we discuss the rationale for improved efficacy and enhanced tolerability with sequential PARPi approaches, supported by pre-clinical and clinical evidence.</p>","PeriodicalId":19247,"journal":{"name":"NPJ Breast Cancer","volume":" ","pages":""},"PeriodicalIF":8.4,"publicationDate":"2026-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13473525/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147949026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Facing death: the last drawings of a woman with breast cancer at the end of life.","authors":"Sema Yilmaz Rakici, Bulent Cetin, Esra Aydin, Bilge Gursel","doi":"10.1038/s41523-026-00969-2","DOIUrl":"10.1038/s41523-026-00969-2","url":null,"abstract":"","PeriodicalId":19247,"journal":{"name":"NPJ Breast Cancer","volume":"12 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2026-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13179353/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147949002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
NPJ Breast CancerPub Date : 2026-05-15DOI: 10.1038/s41523-026-00968-3
Caterina Marchiò, Federico Rojo, Ellen R Copson, Fernando Schmitt, Beatriz Bellosillo, Carlo Fremd
{"title":"Expert recommendations for PIK3CA testing in HR+/HER2- locally advanced and metastatic breast cancer.","authors":"Caterina Marchiò, Federico Rojo, Ellen R Copson, Fernando Schmitt, Beatriz Bellosillo, Carlo Fremd","doi":"10.1038/s41523-026-00968-3","DOIUrl":"10.1038/s41523-026-00968-3","url":null,"abstract":"<p><p>PIK3CA mutations are common in HR+/HER2- metastatic breast cancer and guide the use of PI3K-targeted therapies. This expert consensus provides recommendations on timing, methods, and interpretation of PIK3CA testing, emphasizing early assessment at metastatic diagnosis, preferred use of NGS panels, and standardized pre-analytical workflows. Reflex and dual-sample strategies can reduce delays and failures. Implementation requires coordinated logistics, education across the diagnostic chain, and equitable access to ensure timely, personalized treatment.</p>","PeriodicalId":19247,"journal":{"name":"NPJ Breast Cancer","volume":" ","pages":""},"PeriodicalIF":8.4,"publicationDate":"2026-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13433983/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147949045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identification and functional validation of EPS15L1 as a key driver of triple-negative breast cancer.","authors":"Chun-Chao Wang, Sabareeswaran Krishnan, Yen-Hsun Wang, Kai-Chen Hsu, Tzu-Sheng Hsu, Chung-Hsing Chen, Shang-Hung Chen, Ren-Hua Chung","doi":"10.1038/s41523-026-00954-9","DOIUrl":"10.1038/s41523-026-00954-9","url":null,"abstract":"<p><p>Triple-negative breast cancer (TNBC) is a heterogeneous and aggressive subtype with no effective targeted therapies. To identify novel therapeutic targets, we conducted transcriptome-wide association studies (TWAS) integrating genome-wide association studies (GWAS) summary statistics from the Breast Cancer Association Consortium (BCAC) and UK Biobank with expression quantitative trait loci (eQTL) summary statistics from breast mammary tissues via the Genotype-Tissue Expression (GTEx) study. Our approach identified novel candidate genes positively or negatively associated with TNBC based on their TWAS effect size. We validated these candidates by confirming their differential expression between TNBC and normal tissues using The Cancer Genome Atlas (TCGA) breast cancer cohort. Among these, Epidermal Growth Factor Receptor Pathway Substrate 15 Like 1 (EPS15L1) emerged as a top candidate significantly associated with TNBC. EPS15L1 was found to be overexpressed in basal-like and claudin-low TNBC tumors and cell lines, with its high expression correlating with poor prognosis. Functional studies demonstrated that EPS15L1 enhances TNBC cell growth, as evidenced by increased metabolic activity in high-density conditions, enhanced clonogenic ability in low-density settings, and improved 3D spheroid formation. Additionally, knockdown of EPS15L1 suppressed the formation and stellate morphology of single-cell-initiated spheroids within the 3D microenvironment. Collectively, these findings establish EPS15L1 as a driver of TNBC initiation, implying its potential as a biomarker for early detection and a target for prevention.</p>","PeriodicalId":19247,"journal":{"name":"NPJ Breast Cancer","volume":" ","pages":""},"PeriodicalIF":8.4,"publicationDate":"2026-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13434348/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147948996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
NPJ Breast CancerPub Date : 2026-05-14DOI: 10.1038/s41523-026-00961-w
Ilana Schlam, Gong Tang, Khalid AbdulJabbar, Haixi Yan, Xuelin Gu, Tanner J Freeman, Sai Maley, Brent T Harris, Priya Rastogi, Isaac Hook, Norman Wolmark, Roberto Salgado, Sandra M Swain
{"title":"AI-powered and manual assessment of tumor-infiltrating lymphocytes in early HER2-positive breast cancer in NSABP B-41.","authors":"Ilana Schlam, Gong Tang, Khalid AbdulJabbar, Haixi Yan, Xuelin Gu, Tanner J Freeman, Sai Maley, Brent T Harris, Priya Rastogi, Isaac Hook, Norman Wolmark, Roberto Salgado, Sandra M Swain","doi":"10.1038/s41523-026-00961-w","DOIUrl":"10.1038/s41523-026-00961-w","url":null,"abstract":"<p><p>The assessment of tumor-infiltrating lymphocyte (TILs), together with gene expression signatures (GES), has the potential to guide personalized breast cancer therapy. We included 262 patients from the phase III NSABP B-41 trial, which evaluated neoadjuvant HER2-targeted therapies in combination with chemotherapy. We conducted a manual and artificial intelligence (AI)-based analyses of TILs, as well as GES from RNA sequencing. Higher manual TILs as a continuous variable were associated with pathologic complete response (pCR) in patients with estrogen receptor (ER)-negative disease. AI-based TILs were associated with pCR regardless of ER status. Immune GES (iGES) were associated with pCR. Manual TILs were not associated with event-free survival (EFS), while AI-TIL showed a marginal association. These results support the use of TIL assessment, complemented by GES, as a prognostic biomarker in HER2-positive breast cancer. Future studies are needed to evaluate their predictive utility to guide treatment decisions.</p>","PeriodicalId":19247,"journal":{"name":"NPJ Breast Cancer","volume":" ","pages":""},"PeriodicalIF":8.4,"publicationDate":"2026-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13415812/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147942141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
NPJ Breast CancerPub Date : 2026-05-13DOI: 10.1038/s41523-026-00960-x
Soong June Bae, Seung Ho Baek, Yoonwon Kook, Joon Jeong, Na Lae Eun, Sung Gwe Ahn
{"title":"Clinical significance of residual microcalcifications after neoadjuvant chemotherapy: MRI response and the subtypes.","authors":"Soong June Bae, Seung Ho Baek, Yoonwon Kook, Joon Jeong, Na Lae Eun, Sung Gwe Ahn","doi":"10.1038/s41523-026-00960-x","DOIUrl":"10.1038/s41523-026-00960-x","url":null,"abstract":"<p><p>The clinical significance of residual microcalcifications after neoadjuvant chemotherapy (NAC) in breast cancer remains unclear. We aimed to investigate whether residual malignant microcalcifications after NAC are associated with residual malignant disease in patients with breast cancer stratified by subtypes and MRI findings. We collected data retrospectively from January 2007 to December 2022. We evaluated the presence of suspicious microcalcifications on both pre- and post-NAC mammography. We defined a complete MRI response as the resolution of suspicious enhancement in the breast and axilla after NAC. We included 518 patients who had malignant microcalcifications before and after NAC, with 93/518 (18.0%) achieving a complete MRI response. In HR+ HER2-, 158/167 (95.2%) did not achieve pathological complete response (pCR) in breast, regardless of MRI response. Among the complete MRI responders, breast pCR rates were 87.2% (34/39) in HR- HER2+ breast cancer, and 91.7% (11 of 12) in TNBC, and 87.5% (14/16) in HR+ HER2+ breast cancer with limited extent of microcalcifications (<2 cm), respectively. Our findings suggest that despite persistent malignant microcalcifications after NAC, reducing surgical extent might be feasible among highly selected patients by MRI response.</p>","PeriodicalId":19247,"journal":{"name":"NPJ Breast Cancer","volume":" ","pages":""},"PeriodicalIF":8.4,"publicationDate":"2026-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13392260/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147931898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
NPJ Breast CancerPub Date : 2026-05-13DOI: 10.1038/s41523-026-00964-7
Nadine S van den Ende, Marcel Smid, John W M Martens, Reno Debets, Agnes Jager, Carolien H M van Deurzen
{"title":"Molecular profile of residual triple-negative breast cancer: opportunities for post-neoadjuvant therapeutic interventions.","authors":"Nadine S van den Ende, Marcel Smid, John W M Martens, Reno Debets, Agnes Jager, Carolien H M van Deurzen","doi":"10.1038/s41523-026-00964-7","DOIUrl":"10.1038/s41523-026-00964-7","url":null,"abstract":"<p><p>A subset of triple negative breast cancer (TNBC) patients shows resistance to standard neoadjuvant chemotherapy (NAC), resulting in high relapse and mortality risk. This highlights the need for predictive biomarkers and alternative treatment strategies. Targeted molecular profiling was performed on post-NAC resection specimens from 138 TNBC patients, diagnosed across multiple centers between 2013 and 2022, all exhibiting extensive poor response, defined as >50% residual tumor and the development of distant metastasis. Integrated immunohistochemistry and genomic analyses were conducted to identify potentially targetable alterations. Most post-NAC TNBCs (60%) were HER2-ultralow or HER2-low. Among 85 patients with successful DNA sequencing, 2640 variants were detected, with TP53 mutations being most frequent (94%). Mutation count ranged from 3 to 1668 per patient (median n = 11). Several altered genes, including ERBB2, BRCA1/2, PIK3CA, and RB1, have been associated with favorable responses to targeted therapeutics in clinical trials. Moreover, 208 potential neo-peptide targets (median per patient n = 3) were detected across recurrently mutated genes such as ATM, CREBBP, IRS2, KEAP1, MSH6, NOTCH1, NOTCH2, POLD1, TP53, and TSC2. Molecular profiling of residual disease in extensively poor responding TNBC post-NAC revealed multiple potentially targetable variant, supporting the use of next-generation sequencing to guide personalized strategies for these high-risk TNBC patients.</p>","PeriodicalId":19247,"journal":{"name":"NPJ Breast Cancer","volume":" ","pages":""},"PeriodicalIF":8.4,"publicationDate":"2026-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13392274/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147931939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
NPJ Breast CancerPub Date : 2026-05-12DOI: 10.1038/s41523-026-00958-5
Serena Di Cosimo, Giovanni Apolone
{"title":"Beyond timing, toward precision: insights from CDK4/6 inhibitor trials in metastatic breast cancer.","authors":"Serena Di Cosimo, Giovanni Apolone","doi":"10.1038/s41523-026-00958-5","DOIUrl":"10.1038/s41523-026-00958-5","url":null,"abstract":"<p><p>Hormone receptor-positive, HER2-negative metastatic breast cancer care is rapidly moving from sequencing to a precision framework. First-line CDK4/6 inhibitor-based therapy remains the standard of care, but a new wave of trials shifts the focus to identifying who benefits and when biology should inform treatment optimization. Incorporating biomarker-selected intensification and embedding PROs, PREMs, and quality-adjusted endpoints more closely align treatment with what patients value.</p>","PeriodicalId":19247,"journal":{"name":"NPJ Breast Cancer","volume":" ","pages":""},"PeriodicalIF":8.4,"publicationDate":"2026-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13392035/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147931885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
NPJ Breast CancerPub Date : 2026-05-11DOI: 10.1038/s41523-026-00937-w
Shachar Cohen, Gil Shamai, Edmond Sabo, Alexandra Cretu, Iris Barshack, Tal Goldman, Gil Bar-Sela, Alexander T Pearson, Dezheng Huo, Frederick M Howard, Ron Kimmel, Chen Mayer
{"title":"Prediction of OncotypeDX recurrence score using hematoxylin and eosin-stained whole slide images.","authors":"Shachar Cohen, Gil Shamai, Edmond Sabo, Alexandra Cretu, Iris Barshack, Tal Goldman, Gil Bar-Sela, Alexander T Pearson, Dezheng Huo, Frederick M Howard, Ron Kimmel, Chen Mayer","doi":"10.1038/s41523-026-00937-w","DOIUrl":"10.1038/s41523-026-00937-w","url":null,"abstract":"<p><p>The OncotypeDX 21-gene assay guides adjuvant chemotherapy decisions in early-stage, hormone receptor-positive, HER2-negative breast cancer, but cost and turnaround time limit access. This study presents a deep learning-based approach for predicting OncotypeDX recurrence scores directly from hematoxylin and eosin-stained whole slide images. Our approach leverages a deep learning foundation model pre-trained on 171,189 slides via self-supervised learning, which is fine-tuned for our task. The model was developed and validated using five independent cohorts, out of which three are external. On the two external cohorts that include OncotypeDX scores, the model achieved an AUC of 0.836 and 0.817, and identified 22% and 16.3% of the patients as low-risk with sensitivity of 0.97 and 0.97 and negative predictive value of 0.97 and 0.96, showing strong generalizability despite variations in staining protocols and imaging devices. Kaplan-Meier analysis demonstrated that patients classified as low-risk by the model had a significantly better prognosis than those classified as high-risk, with a hazard ratio of 4.1 (P < 0.001) and 2.0 (P < 0.01) on the two external cohorts that include patient outcomes. This artificial intelligence-driven solution offers a rapid, cost-effective, and scalable alternative to genomic testing, with the potential to enhance personalized treatment planning, especially in resource-constrained settings.</p>","PeriodicalId":19247,"journal":{"name":"NPJ Breast Cancer","volume":" ","pages":""},"PeriodicalIF":8.4,"publicationDate":"2026-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13385769/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147874963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
NPJ Breast CancerPub Date : 2026-05-11DOI: 10.1038/s41523-026-00940-1
Yara Abdou, Mariya Rozenblit, Dario Trapani, Ioannis Zerdes, Erin Boudreau, Yang Zhou, Virginie Adam, Carlos Barrios, Chayma Bousrih, Vernal Branch, Lisa A Carey, David Cameron, Samantha Chen, Boon H Chua, Nancy E Davidson, Susan M Domchek, Sarra El-Abed, Dorraya El-Ashry, Margaret Flowers, Julia Foldi, Judy Garber, Theodora Goulioti, Christine Hodgdon, Jessica Lc Hung, Natalie Klar, Larry Norton, Ritesh Parajuli, Martine Piccart, Teri Pollastro, Cesar A Santa-Maria, Eva Schumacher-Wulf, Shane R Stecklein, Anna Thulin, Holly Tovey, Eric Winer, Antonio C Wolff, Nancy U Lin, Seamus O'Reilly
{"title":"Invest where impact begins: recommendations from Breast Cancer Research Foundation Early Career Investigator Working Group (Part 1 of 2).","authors":"Yara Abdou, Mariya Rozenblit, Dario Trapani, Ioannis Zerdes, Erin Boudreau, Yang Zhou, Virginie Adam, Carlos Barrios, Chayma Bousrih, Vernal Branch, Lisa A Carey, David Cameron, Samantha Chen, Boon H Chua, Nancy E Davidson, Susan M Domchek, Sarra El-Abed, Dorraya El-Ashry, Margaret Flowers, Julia Foldi, Judy Garber, Theodora Goulioti, Christine Hodgdon, Jessica Lc Hung, Natalie Klar, Larry Norton, Ritesh Parajuli, Martine Piccart, Teri Pollastro, Cesar A Santa-Maria, Eva Schumacher-Wulf, Shane R Stecklein, Anna Thulin, Holly Tovey, Eric Winer, Antonio C Wolff, Nancy U Lin, Seamus O'Reilly","doi":"10.1038/s41523-026-00940-1","DOIUrl":"10.1038/s41523-026-00940-1","url":null,"abstract":"","PeriodicalId":19247,"journal":{"name":"NPJ Breast Cancer","volume":"12 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2026-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13161217/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147874948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}