Sotiriou, Christos P.

The 6th edition of the WHO Classification of Breast Tumours introduces both major and minor changes based on recent advances in our understanding of breast biology, developments in diagnostic modalities, identification of specific molecular targets and new treatment regimens necessitating modifications to pathology reporting and tumour biomarker categorisation. This review summarises the main changes that strive towards a classification of global relevance. In invasive carcinoma, predictive factors increasingly inform modern breast cancer treatment. The 6th edition provides an update on HER2 reporting categories following the DESTINY‐Breast 04 and 06 trials. Terminologies used to classify invasive tumours are clarified, with the term ‘variant’ now reserved for molecular/genetic alterations. Invasive lobular carcinoma (ILC) with extracellular mucin is recognised as a new diagnostic entity with prognostic implications. The diagnosis of mucinous carcinoma (MC) is reserved for mucin secreting carcinomas with grade 1 or 2 morphology and a favourable biomarker profile. The diagnosis of malignant phyllodes tumours requires only four of the original five adverse histological criteria. Classification of neuroendocrine tumours (NETs) is revised, recognising that the unified model, promoted in the 5th edition, is difficult to apply to the breast. New approaches to the classification of adenomyoepithelioma are discussed but the 5th edition system is broadly retained. A new section on ‘Small Diagnostic Samples’ outlines the merits of non‐operative biopsy diagnosis, the B coding system and the importance of multidisciplinary review. Changes to diagnostic practice and the emerging role of artificial intelligence, with advantages and challenges, are discussed in a new section on ‘Digital Pathology’.

AbstractThe JAK/STAT3 signaling pathway may be aberrantly activated and have various and conflicting roles in breast cancer. The current study explored prognostic implications of activated STAT3 in human epidermal growth factor receptor 2 (HER2)‐positive primary breast cancers in the context of a large prospective study (ALTTO). Activated STAT3 was determined by immunohistochemical analysis of STAT3 phosphorylation (Y705) performed on the primary tumors. This analysis evaluated whether patients with activated STAT3 had disease‐free survival (DFS) and overall survival (OS) different from patients without activated STAT3. A total of 5694 patients out of the 8381 patients enrolled in ALTTO were included in this analysis (67.9%), and 2634 of them (46%) had evidence of STAT3 activation (minimum tumor Allred score ≥2). The median follow‐up was 6.93 years (6.85‐6.97 years), at the end of which 1035 (18.18%) and 520 (9.13%) patients experienced DFS and OS events, respectively. Patients with STAT3 activation experienced improved DFS compared to those without it (multivariable hazard ratio [HR], 0.84; 95% confidence interval [CI] 0.74‐0.95; P = .006). There were no group differences in OS (multivariable HR, 0.92; 95% CI 0.78‐1.10; P = .37). This effect was limited to ER‐positive tumors. In conclusion, these findings support the role of STAT3 activation as a marker of favorable outcome in ER‐positive/HER2‐positive breast cancer patients.

Abstract Background: Disease relapse is observed in a significant proportion of HER2-positive breast cancer (BC) patients with residual disease (RD) after neoadjuvant treatment, as well as in a subgroup of those achieving pathological complete response (pCR). As the host immune response plays a key role in modulating the activity of anti-HER2 agents, we investigated the association of T- and B-cell receptor (TCR and BCR) repertoires with pCR and event-free survival (EFS) in the NeoALTTO phase 3 trial. Methods: RNA sequencing (RNAseq) data from baseline tumor biopsies were available for 254 patients out of the 455 enrolled in the study. Among those, 166 did not achieve a pCR defined as ypT0/is. Matched RNAseq data from RD samples were available for 43 cases. TCR/BCR repertoires were extracted from RNAseq data using the MiXCR software. TCR and BCR read counts, number of clones, evenness, Shannon entropy, Gini index, length of the complementarity determining region 3, top and second top clone proportion were evaluated. Survival analysis was performed using univariate and multivariate (adjusted for tumor size, nodal status, grade, estrogen receptor [ER] status, age and treatment arm) Cox proportional hazard models, while logistic regressions were used for pCR. False discovery rate (FDR) was obtained using Benjamini & Hochberg method. Results: Baseline TCR top (odds ratio [OR]=0.63 [95% CI 0.46-0.87], FDR=0.021) and second top (OR=0.57 [0.41-0.79], FDR=0.004) clone proportion were significantly associated with a lower probability of achieving pCR in the multivariate analysis. BCR evenness (hazard ratio [HR]=1.5 [1.2-2], FDR=0.015) and Gini index (HR=0.66 [0.52-0.85], FDR=0.015) were significantly associated with EFS in the multivariate analysis. In residual disease, BCR evenness and Gini index showed a similar trend in the EFS univariate analysis, while TCR read counts, number of clones, and entropy were associated with lower HR (P<0.05), although FDR were borderline significant (0.05<FDR<0.1). A model to predict EFS including baseline BCR evenness, ER status, stromal tumor-infiltrating lymphocyte level, and pCR was able to identify 3 groups with good, intermediate and poor prognosis (Kaplan-Meier 5-year EFS rates of 95%, 80% and 58%, respectively). Of note, about 63%, 45% and 12% of the patients achieved a pCR in the three prognostic groups, respectively. Conclusions: In the NeoALTTO trial, the presence of an evenly distributed BCR repertoire was associated with worse EFS. A model integrating baseline immune-related and clinical features was able to identify patients with excellent prognosis despite RD or, conversely, with poor prognosis after pCR. We envision that our model has the potential to allow the personalization of post-operative treatment strategies after both pCR and RD in HER2-positive BC. Further validation of our findings is warranted. Citation Format: Mattia Rediti, David Venet, Françoise Rothé, Tao Qing, Marion Maetens, Ian Bradbury, Miguel A. Izquierdo, Serena Di Cosimo, Florentine Hilbers, Mohammed Bajji, Nadia Harbeck, Michael Untch, David L. Rimm, Stephen Chia, Minetta C. Liu, Cristina Saura, Jens Huober, Paolo Nuciforo, Roberto Salgado, Sherene Loi, Lajos Pusztai, Christos Sotiriou. Predictive and prognostic role of T- and B-cell receptor repertoire in HER2-positive breast cancer: An analysis of the NeoALTTO clinical trial [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1998.

511 Background: Clinicopathological and molecular features, including estrogen receptor (ER) status and PAM50 subtypes, have shown an association with immunogenicity and tumor-infiltrating lymphocyte (TIL) levels in breast cancer (BC). To investigate the complexity of the immune response in HER2+ BC, we explored the association of T- and B-cell receptor (TCR and BCR) repertoires with clinicopathological characteristics, PAM50 subtypes and outcome in the NeoALTTO phase III trial. Methods: RNA sequencing (RNAseq) data from baseline tumor biopsies were available for 254 out of the 455 patients enrolled. TCR and BCR repertoires were extracted from RNAseq data using the MiXCR software. Repertoire and diversity measures (read counts, number of clones, evenness, Gini index, Shannon entropy, length of the complementarity-determining region 3 [CDR3], top and second top clone proportions) were estimated. PAM50 subtypes were computed from RNAseq data. Univariate and multivariate (adjusted for clinicopathological characteristics, TIL levels dichotomized using the median value of 12.5% and treatment arm) Cox proportional hazard models were used for survival analysis, while logistic regressions were used for pathological complete response (pCR), defined as ypT0/is. All results reported had a false discovery rate (FDR) <0.05. Results: Higher BCR read counts, number of clones and Gini index were significantly associated with ER-negative as well as grade 3 tumors. Among the PAM50 subtypes, HER2-enriched (HER2-E) showed significantly higher BCR read counts, number of clones and Gini index along with lower evenness compared to luminal A and B, as well as higher length of CDR3 than luminal A. Of note, basal-like showed similar BCR diversity measures to HER2-E. No significant differences were noted for TCR diversity measures. In multivariate analyses, neither TCR nor BCR features were associated with pCR, while BCR evenness (HR 1.5; 95%CI 1.1-2.1) and Gini index (HR 0.66; 95%CI 0.5-0.88) were associated with event-free survival. Conclusions: BCR repertoire measures suggest a clonal expansion in HER2-E and basal-like PAM50 subtypes. Furthermore, the implementation of BCR-derived biomarkers can help to identify patients with an improved clinical outcome after neoadjuvant anti-HER2 treatment. Our findings highlight the heterogeneity of the immune response within HER2+ BC and provide support for biomarker-driven treatment strategies including immunotherapy in this BC subtype. Further validation is required. Clinical trial information: NCT00553358 .

11553 Background: Little is known about the toxicity of trastuzumab (T) or of trastuzumab + lapatinib (T + L), approved in the advanced setting, in older pts. We have performed a sub-analysis of the Adjuvant Lapatinib and/or Trastuzumab Treatment Optimisation (ALTTO) trial focused on treatment completion and toxicity of T and T+L in older pts (aged ≥65 years (yr)). Methods: The ALTTO trial (NCT00490139, NCCTG N063D) randomised 8381 pts with early HER2+ BC into 4 arms and we included the T and T+L arms in our analysis. Eligible pts for our study were those having received at least one dose of assigned treatment. Treatment completion was evaluated through the rate of temporary treatment interruptions (TTI), permanent treatment discontinuations (PTD) and lapatinib dose reductions (LDR). Toxicity was evaluated via a selected set of adverse events of interest (AEIs). Risk factors for TTI, PTD, LDR and AEIs were assessed, including comorbidities and polypharmacy at baseline (defined as use 5 or more co-medications) and AEIs during treatment. Results: A total of 430 pts≥65-year-old were identified for this sub-analysis, out of a total of 4190 pts with a median age of 68 yrs (range 65-80). Older pts were more likely to have comorbidities (70% vs 38%). Treatment completion was worse among older pts in the T+L arm but not in the T arm (Table). AEIs were more common in the T+L arm in all patients, with older patients having higher AEI rates (78.04% in older vs 63.38% in younger), particularly diarrhea (60.75% vs 38.0%). Identified risk factors (multivariate) for worse treatment completion in the T and T+ L arms included concomitant use of chemotherapy and the occurrence of grade 3 adverse events, among others. Conclusions: T + L has worse treatment completion and is more toxic in older patients, while T was well tolerated. Identifiable risk factors at baseline and during the course of treatment could be used to aid in regimen selection and management for both T and T + L in their respective indications. Support: UG1CA189823, Novartis;https://acknowledgments.alliancefound.org. [Table: see text]

AbstractImmune checkpoint inhibitor therapies targeting PD‐1/PD‐L1 are now the standard of care in oncology across several hematologic and solid tumor types, including triple negative breast cancer (TNBC). Patients with metastatic or locally advanced TNBC with PD‐L1 expression on immune cells occupying ≥1% of tumor area demonstrated survival benefit with the addition of atezolizumab to nab‐paclitaxel. However, concerns regarding variability between immunohistochemical PD‐L1 assay performance and inter‐reader reproducibility have been raised. High tumor‐infiltrating lymphocytes (TILs) have also been associated with response to PD‐1/PD‐L1 inhibitors in patients with breast cancer (BC). TILs can be easily assessed on hematoxylin and eosin–stained slides and have shown reliable inter‐reader reproducibility. As an established prognostic factor in early stage TNBC, TILs are soon anticipated to be reported in daily practice in many pathology laboratories worldwide. Because TILs and PD‐L1 are parts of an immunological spectrum in BC, we propose the systematic implementation of combined PD‐L1 and TIL analyses as a more comprehensive immuno‐oncological biomarker for patient selection for PD‐1/PD‐L1 inhibition‐based therapy in patients with BC. Although practical and regulatory considerations differ by jurisdiction, the pathology community has the responsibility to patients to implement assays that lead to optimal patient selection. We propose herewith a risk‐management framework that may help mitigate the risks of suboptimal patient selection for immuno‐therapeutic approaches in clinical trials and daily practice based on combined TILs/PD‐L1 assessment in BC. © 2020 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

Abstract Background: The level of immune suppression in an individual breast cancer (BC) patient is relevant for having a major benefit from treatments that act via or are directed to the immune response, such as anti-HER2 agents and immune checkpoint molecules, respectively. The link(s) between the tumor immune microenvironment and treatment responses has been investigated in HER2-positive BC. This study analyzed the association between baseline expression of genes regulating T cell activities (PD1, CTLA4, LAG3, TIM3, PDL1, PDL2, FOXP3, IL10, TGFβ (1-3), FOXP1 and other related genes) and pathologic complete response (pCR) rates in the NeoALTTO trial. Methods: NeoALTTO randomized early-stage HER2-positive BC patients to neoadjuvant trastuzumab (T), lapatinib (L) or T+L for 6 weeks followed by 12 weeks of concurrent paclitaxel. Anthracyclines were given after surgery (FEC). Patients with RNA sequencing data from their baseline tumor samples (N=254 patients out of 455 from the original cohort) were included in the current study. The primary endpoint, pCR, was defined as ypT0/is ypN0. Logistic regression was used for analysis of pCR. Cox regression univariate and multivariate (adjusted for clinicopathological parameters and treatment arms) analyses were performed. Results: In the total cohort analyzed, high PD1 (odds ratio, OR: 1.4, P=0.03), PDL2 (OR: 1.4, P=0.04), CTLA4 (OR: 1.4, P=0.03) and TGFβ3 (OR: 1.4, P=0.02) expression was associated with an increased probability of achieving pCR at the multivariate analysis. ERBB2 (HER2) expression was associated with pCR in the three arms (T: OR: 2.7, P=0.02; L: OR: 2.3, P=0.01; T+L: OR: 5, P&lt;0.001). Additionally in the T+L arm, PAM50 HER2-enriched subtype (OR: 2.9, P=0.03), as well as immune genes PD1 (OR: 2.1, P=0.01), PDL1 (OR: 1.8, P=0.03) and CTLA4 (OR: 2; P=0.01), were also associated with pCR. Conclusions: In the NeoALTTO population examined, PD1, PDL2, CTLA-4 and TGFβ3 expression at diagnosis were all associated with improved pCR rates after anti-HER2 treatment. The effect of these treatments seemed to be dependent on HER2 expression levels, which was particularly relevant in the T+L arm. These observations confirm previous findings that link immune infiltrates to higher pCR rates, demonstrate the clinical significance of the PD-1 pathway and additionally show that CTLA-4 and TGFβ3 could also be important in early stage HER2-positive BC. The association of tumors linked with immune regulatory gene expression with positive responses to neoadjuvant anti-HER2 agents suggests that they act in a way that reinvigorates the antitumor immunity in the face of tumor-mediated suppression. Patients whose tumors highly express these genes may be good candidates for immunotherapy before the start or after the neoadjuvant treatment when residual disease is detected at surgery, although these hypotheses require further confirmation. Citation Format: Cinzia Solinas, Pushpamali De Silva, David Venet, Soizic Garaud, Chunyan Gu-Trantien, Florentine Hilbers, Evandro de Azambuja, Olena Werner, Lorena De la Peña, Amylou Dueck, Serena Di Cosimo, Istvan Lang, Jens Huober, Sherko Küemmel, Carsten Denkert, Roberto Salgado, Christos Sotiriou, Martine Piccart-Gebhart, Debora Fumagalli, Karen Willard-Gallo. Immune regulatory gene expression and clinical outcome in the NeoALTTO trial [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3132.

Assessment of tumor-infiltrating lymphocytes (TILs) in histopathologic specimens can provide important prognostic information in diverse solid tumor types, and may also be of value in predicting response to treatments. However, implementation as a routine clinical biomarker has not yet been achieved. As successful use of immune checkpoint inhibitors and other forms of immunotherapy become a clinical reality, the need for widely applicable, accessible, and reliable immunooncology biomarkers is clear. In part 1 of this review we briefly discuss the host immune response to tumors and different approaches to TIL assessment. We propose a standardized methodology to assess TILs in solid tumors on hematoxylin and eosin sections, in both primary and metastatic settings, based on the International Immuno-Oncology Biomarker Working Group guidelines for TIL assessment in invasive breast carcinoma. A review of the literature regarding the value of TIL assessment in different solid tumor types follows in part 2. The method we propose is reproducible, affordable, easily applied, and has demonstrated prognostic and predictive significance in invasive breast carcinoma. This standardized methodology may be used as a reference against which other methods are compared, and should be evaluated for clinical validity and utility. Standardization of TIL assessment will help to improve consistency and reproducibility in this field, enrich both the quality and quantity of comparable evidence, and help to thoroughly evaluate the utility of TILs assessment in this era of immunotherapy.

Assessment of the immune response to tumors is growing in importance as the prognostic implications of this response are increasingly recognized, and as immunotherapies are evaluated and implemented in different tumor types. However, many different approaches can be used to assess and describe the immune response, which limits efforts at implementation as a routine clinical biomarker. In part 1 of this review, we have proposed a standardized methodology to assess tumor-infiltrating lymphocytes (TILs) in solid tumors, based on the International Immuno-Oncology Biomarkers Working Group guidelines for invasive breast carcinoma. In part 2 of this review, we discuss the available evidence for the prognostic and predictive value of TILs in common solid tumors, including carcinomas of the lung, gastrointestinal tract, genitourinary system, gynecologic system, and head and neck, as well as primary brain tumors, mesothelioma and melanoma. The particularities and different emphases in TIL assessment in different tumor types are discussed. The standardized methodology we propose can be adapted to different tumor types and may be used as a standard against which other approaches can be compared. Standardization of TIL assessment will help clinicians, researchers and pathologists to conclusively evaluate the utility of this simple biomarker in the current era of immunotherapy.