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Breast cancer is a heterogeneous disease in terms of histology, therapeutic response, dissemination patterns to distant sites, and patient outcomes. Global gene expression analyses using high-throughput technologies have helped to explain much of this heterogeneity and provided important new classifications of cancer patients. In the last decade, genomic studies have established five breast cancer intrinsic subtypes (Luminal A, Luminal B, HER2-enriched, Claudin-low, Basal-like) and a Normal Breast-like group. In this review, we dissect the most recent data on this genomic classification of breast cancer with a special focus on the Claudin-low subtype, which appears enriched for mesenchymal and stem cell features. In addition, we discuss how the combination of standard clinical-pathological markers with the information provided by these genomic entities might help further understand the biological complexity of this disease, increase the efficacy of current and novel therapies, and ultimately improve outcomes for breast cancer patients.

HER2-positive breast cancer consists of four intrinsic molecular subtypes—luminal A, luminal B, HER2-enriched, and basal-like—and a normal-like subtype, with the HER2-enriched subtype having the highest activation of the EGFR–HER2 pathway. We aimed to test the hypothesis that patients with the HER2-enriched subtype benefit the most from dual HER2 blockade. PAMELA is an open-label, single-group, phase 2 trial done in 19 hospitals in Spain. We recruited female patients aged at least 18 years with previously untreated, centrally confirmed HER2-positive, stage I–IIIA invasive breast cancer regardless of hormone receptor status. Patients were given lapatinib (1000 mg per day orally) and trastuzumab (loading dose of 8 mg/kg, followed by 6 mg/kg every 3 weeks intravenously) for 18 weeks; hormone receptor-positive patients were additionally given letrozole (2·5 mg per day orally; if menopausal) or tamoxifen (20 mg per day orally; if premenopausal). Surgery was done 1–3 weeks after the last dose of study treatment. Intrinsic molecular subtypes of tumour biopsy samples taken at baseline (day 0) and day 14 were determined with the PAM50 predictor. The primary outcome was the ability of the HER2-enriched subtype to predict pathological complete response at the time of surgery. The primary outcome was assessed in the evaluable population (ie, all patients who had initial tumour biopsy samples available and who underwent definitive surgery) and safety was assessed in all patients who received at least one part of study treatment. This study is registered with ClinicalTrials.gov, number NCT01973660, and is completed. Between Oct 28, 2013, and Nov 26, 2015, we recruited 151 patients, of whom 14 (9%) discontinued treatment and 137 (91%) completed treatment as planned. At baseline, most patients had the HER2-enriched subtype (101 [67%]), followed by luminal A (22 [15%]), luminal B (16 [11%]), basal-like (nine [6%]), and normal-like (three [2%]) subtypes. At the time of surgery, 46 (30%, 95% CI 23–39) of 151 patients had pathological complete response in the breast. 41 (41%, 31–51) of 101 patients with the HER2-enriched subtype and five (10%, 4–23) of 50 patients with non-HER2-enriched subtypes achieved pathological complete response at the time of surgery (odds ratio 6·2, 95% CI 2·3–16·8; p=0·0004). The HER2-enriched subtype can identify patients with HER2-positive breast cancer who are likely to benefit from dual HER2 blockade therapies. GlaxoSmithKline, Susan Komen Foundation, CERCA Programme—Generalitat de Catalunya, Banco Bilbao Vizcaya Argentaria Foundation, Pas a Pas, and the Breast Cancer Research Foundation.

Alpelisib, a PI3Kα-selective inhibitor and degrader, plus fulvestrant showed efficacy in hormone receptor-positive, HER2-negative, PIK3CA-mutated advanced breast cancer in SOLAR-1; limited data are available in the post-cyclin-dependent kinase 4/6 inhibitor setting. BYLieve aimed to assess alpelisib plus endocrine therapy in this setting in three cohorts defined by immediate previous treatment; here, we report results from cohort A. This ongoing, phase 2, multicentre, open-label, non-comparative study enrolled patients with hormone receptor-positive, HER2-negative, advanced breast cancer with tumour PIK3CA mutation, following progression on or after previous therapy, including CDK4/6 inhibitors, from 114 study locations (cancer centres, medical centres, university hospitals, and hospitals) in 18 countries worldwide. Participants aged 18 years or older with an Eastern Cooperative Oncology Group performance status of 2 or less, with no more than two previous anticancer treatments and no more than one previous chemotherapy regimen, were enrolled in three cohorts. In cohort A, patients must have had progression on or after a CDK4/6 inhibitor plus an aromatase inhibitor as the immediate previous treatment. Patients received oral alpelisib 300 mg/day (continuously) plus fulvestrant 500 mg intramuscularly on day 1 of each 28-day cycle and on day 15 of cycle 1. The primary endpoint was the proportion of patients alive without disease progression at 6 months per local assessment using Response Evaluation Criteria in Solid Tumors, version 1.1, in patients with a centrally confirmed PIK3CA mutation. This trial is registered with ClinicalTrials.gov, NCT03056755. Between Aug 14, 2017, and Dec 17, 2019 (data cutoff), 127 patients with at least 6 months' follow-up were enrolled into cohort A. 121 patients had a centrally confirmed PIK3CA mutation. At data cutoff, median follow-up was 11·7 months (IQR 8·5-15·9). 61 (50·4%; 95% CI 41·2-59·6) of 121 patients were alive without disease progression at 6 months. The most frequent grade 3 or worse adverse events were hyperglycaemia (36 [28%] of 127 patients), rash (12 [9%]), and rash maculopapular (12 [9%]). Serious adverse events occurred in 33 (26%) of 127 patients. No treatment-related deaths were reported. BYLieve showed activity of alpelisib plus fulvestrant with manageable toxicity in patients with PIK3CA-mutated, hormone receptor-positive, HER2-negative advanced breast cancer, after progression on a CDK4/6 inhibitor plus an aromatase inhibitor. Novartis Pharmaceuticals.

Cancer immunotherapies have changed the landscape of cancer treatment during the past few decades. Among them, immune checkpoint inhibitors, which target PD-1, PD-L1 and CTLA-4, are increasingly used for certain cancers; however, this increased use has resulted in increased reports of immune-related adverse events (irAEs). These irAEs are unique and are different to those of traditional cancer therapies, and typically have a delayed onset and prolonged duration. IrAEs can involve any organ or system. These effects are frequently low grade and are treatable and reversible; however, some adverse effects can be severe and lead to permanent disorders. Management is primarily based on corticosteroids and other immunomodulatory agents, which should be prescribed carefully to reduce the potential of short-term and long-term complications. Thoughtful management of irAEs is important in optimizing quality of life and long-term outcomes. Checkpoint inhibitors are increasingly being used in clinical practice; however, these therapies can be associated with adverse events that can affect almost any organ system. This Primer by Ramos-Casals and colleagues summarizes the epidemiology, mechanisms, diagnosis and treatment of these adverse events.

Purpose The therascreen PIK3CA mutation assay and the alpha-specific PI3K inhibitor alpelisib are FDA-approved for identifying and treating patients with advanced PIK3CA- mutated ( PIK3CA mut) breast cancer (BC). However, it is currently unknown to what extend this assay detects most PIK3CA mutations in BC. This information is critical as patients and clinicians are using this and other genomic assays to indicate alpelisib. Methods Data from 6338 patients with BC was explored across 10 publicly available studies. The primary objective was to evaluate the proportion and distribution of PIK3CA mutations in BC. Secondary objectives were (1) to evaluate in silico the spectrum of PIK3CA mutations in BC that would be captured by the therascreen panel; (2) to evaluate the proportion and distribution of PIK3CA mutations in hormone receptor-positive/HER2-negative (HR+/HER2−), HER2+, and triple-negative BC (TNBC); and (3) to explore the identification of PIK3CA mutations in a cohort of 48 HR+/HER2− advanced BC patients by the Guardant B360 circulating tumor DNA (ctDNA) assay. Results Patients with PIK3CA mut tumors represented 35.7% (2261/6338). Five PIK3CA mutations comprised 73% of all PIK3CA mutations: H1047R (35%), E545K (17%), E542K (11%), N345K (6%), and H1047L (4%). Therascreen gene list would capture 72% of all PIK3CA mutations and 80% of patients with a known PIK3CA mut BC. Among patients with double PIK3CA mut tumors (12% of all PIK3CA mut), the therascreen panel would capture 78% as harboring 1 single PIK3CA mutation, 17% as PIK3CA mut undetected, and 5% as PIK3CA double-mut. PIK3CA mutation rates were lower in TNBC (16%) compared to HR+/HER2 (42%) and HER2+ (31%) BC; however, the distribution of the 4 main PIK3CA mutations across subtypes was similar. Finally, 28% of PIK3CA mutations identified in ctDNA in 48 patients with advanced HR+/HER2− BC were not part of the therascreen panel. Conclusion PIK3CA mutations in BC are heterogenous and ~ 20% of patients with a known PIK3CA mutation, and 95% with a known double PIK3CA mut tumor, would not be captured by the therascreen panel. Finally, the clinical utility of PIK3CA mutations not present in the therascreen companion diagnostic assay or identified by other sequencing-based assays needs further investigation.

Adoptive cell therapy has emerged as a promising approach for treating advanced solid malignancies. Genetic engineering techniques represent an exciting area of research for the development of cellular products with enhanced cytotoxicity, phenotype, and metabolism.

Besides predicting responsiveness to anti-HER2 agents, HER2 aberrations are associated with a high incidence of central nervous system (CNS) metastasis across several cancer types, including breast, lung, gastric and colorectal cancer. In this setting, several novel anti-HER2 agents with relevant CNS activity are emerging, including tucatinib and trastuzumab deruxtecan. Both agents are already FDA-approved for treating advanced breast cancer, but are also being tested for the treatment of other HER2-driven histologies. The confirmation of their activity in other cancer types may provide histology-agnostic weapons against HER2-driven brain metastasis, possibly improving the prognosis of a wide population of cancer patients.

SummaryBackgroundWe aimed to report on long-term outcomes of patients with small, node-negative, HER2-positive breast cancer treated with adjuvant paclitaxel and trastuzumab and to establish potential biomarkers to predict prognosis. MethodsIn this open-label, single-arm, phase 2 study, patients aged 18 years or older, with small (≤3 cm), node-negative, HER2-positive breast cancer, and an Eastern Cooperative Oncology Group performance status of 0–1, were recruited from 16 institutions in 13 cities in the USA. Eligible patients were given intravenous paclitaxel (80 mg/m 2) with intravenous trastuzumab (loading dose of 4 mg/kg, subsequent doses 2 mg/kg) weekly for 12 weeks, followed by trastuzumab (weekly at 2 mg/kg or once every 3 weeks at 6 mg/kg) for 40 weeks to complete a full year of trastuzumab. The primary endpoint was 3-year invasive disease-free survival. Here, we report 10-year survival outcomes, assessed in all participants who received protocol-defined treatment, with exploratory analyses using the HER2DX genomic tool. This study is registered on ClinicalTrials.gov, NCT00542451, and is closed to accrual. FindingsBetween Oct 29, 2007, and Sept 3, 2010, 410 patients were enrolled and 406 were given adjuvant paclitaxel and trastuzumab and included in the analysis. Mean age at enrolment was 55 years (SD 10·5), 405 (99·8%) of 406 patients were female and one (0·2%) was male, 350 (86·2%) were White, 28 (6·9%) were Black or African American, and 272 (67·0%) had hormone receptor-positive disease. After a median follow-up of 10·8 years (IQR 7·1–11·4), among 406 patients included in the analysis population, we observed 31 invasive disease-free survival events, of which six (19·4%) were locoregional ipsilateral recurrences, nine (29·0%) were new contralateral breast cancers, six (19·4%) were distant recurrences, and ten (32·3%) were all-cause deaths. 10-year invasive disease-free survival was 91·3% (95% CI 88·3–94·4), 10-year recurrence-free interval was 96·3% (95% CI 94·3–98·3), 10-year overall survival was 94·3% (95% CI 91·8–96·8), and 10-year breast cancer-specific survival was 98·8% (95% CI 97·6–100). HER2DX risk score as a continuous variable was significantly associated with invasive disease-free survival (hazard ratio [HR] per 10-unit increment 1·24 [95% CI 1·00–1·52]; p=0·047) and recurrence-free interval (1·45 [1·09–1·93]; p=0·011). InterpretationAdjuvant paclitaxel and trastuzumab is a reasonable treatment standard for patients with small, node-negative, HER2-positive breast cancer. The HER2DX genomic tool might help to refine the prognosis for this population. FundingGenentech.

Immune checkpoint inhibitors have modified the treatment algorithm in a variety of cancer types, including breast cancer. Nevertheless, optimal selection of ideal candidates to these drugs remains an unmet need. Although PD-L1 expression by immunohistochemistry seems to be the most promising biomarker to date, its predictive ability is far from ideal. Thus, the development of new predictive biomarkers is essential for a better selection of patients. Here, we discuss potential biomarkers beyond PD-L1 that could play an important role in precision cancer immunotherapy.

Gene-expression profiling has led to the development of signatures designed to predict survival and treatment response in patients with breast cancer. In this Review, Prat et al . discuss the clinical utility of gene-expression-based assays and compare them with the performance of breast cancer biomarkers that are currently used as standard of care. Gene-expression profiling has had a considerable impact on our understanding of breast cancer biology, and more recently on clinical care. Two statistical approaches underlie these advancements. Supervised analyses have led to the development of gene-expression signatures designed to predict survival and/or treatment response, which has resulted in the development of new clinical assays. Unsupervised analyses have identified numerous biological signatures including signatures of cell type of origin, signaling pathways, and of cellular proliferation. Included within these biological signatures are the molecular subtypes known as the 'intrinsic' subtypes of breast cancer. This classification has expanded our appreciation of the heterogeneity of breast cancer and has provided a way to sub-classify the disease in a manner that might have clinical utility. In this Review, we discuss the clinical utility of gene-expression-based assays and their technical potential as clinical tools vis-a-vis the performance of breast cancer biomarkers that are the current standard of care. Key Points Gene-expression-based assays provide independent prognostic information beyond standard clinical-pathological variables; however, tumor and nodal stage remain important and must be taken into account in the final prognostic assessment Gene-expression-based assays identify patients with ER-positive node-negative disease at low risk of relapse after treatment with hormonal therapy and who might be spared from chemotherapy Clinical use of gene-expression-based assays for the prediction of chemotherapy benefit in node-positive disease, and in ER-negative disease, is currently experimental Current methodologies for ER, PR and HER2 testing might benefit from additional protocol standardizations, but may still be less reproducible than standardized gene-expression-based assays Non-standardized research-based identification of the intrinsic subtypes shows concordance values equivalent to current clinical testing for histological grade, ER, PR and HER2 For daily clinical use, we recommend the highest level of reproducibility/concordance (Level 1), which will only be achieved for pathology and gene-expression-based tests by using a single platform and standardized protocol