Levels of different subtypes of tumour-infiltrating lymphocytes correlate with each other, with matched circulating lymphocytes, and with survival in breast cancer

Purpose: Breast cancer tumour-infiltrating lymphocytes associate with clinico-pathological factors, including survival, although the literature includes many conflicting findings. Our aim was to assess these associations for key lymphocyte subtypes and in different tumour compartments, to determine whether these provide differential correlations and could, therefore, explain published inconsistencies. Uniquely, we also examine whether infiltrating levels merely reflect systemic lymphocyte levels or whether local factors are predominant in recruitment. Methods: Immunohistochemistry was used to detect tumour-infiltrating CD20+ (B), CD4+ (helper T), CD8+ (cytotoxic T) and FoxP3+ (regulatory T) cells in breast cancers from 62 patients, with quantification in tumour stroma, tumour cell nests, and tumour margins. Levels were analysed with respect to clinico-pathological characteristics and matched circulating levels (determined by flow-cytometry). Results: CD4+ lymphocytes were the most prevalent subtype in tumour stroma and at tumour edge and CD8+ lymphocytes were most prevalent in tumour nests; FoxP3+ lymphocytes were rarest in all compartments. High grade or hormone receptor negative tumours generally had significantly increased lymphocytes, especially in tumour stroma. Only intra-tumoural levels of CD8+ lymphocytes correlated significantly with matched circulating levels (p < 0.03), suggesting that recruitment is mainly unrelated to systemic activity. High levels of stromal CD4+ and CD20+ cells associated with improved survival in hormone receptor negative cases (p < 0.04), while tumour nest CD8+ and FoxP3+ cells associated with poor survival in hormone receptor positives (p < 0.005). Conclusions: Lymphocyte subtype and location define differential impacts on tumour biology, therefore, roles of tumour-infiltrating lymphocytes will only be unravelled through thorough analyses that take this into account

Application of a risk-management framework for integration of stromal tumor-infiltrating lymphocytes in clinical trials

Stromal tumor-infiltrating lymphocytes (sTILs) are a potential predictive biomarker for immunotherapy response in metastatic triple-negative breast cancer (TNBC). To incorporate sTILs into clinical trials and diagnostics, reliable assessment is essential. In this review, we propose a new concept, namely the implementation of a risk-management framework that enables the use of sTILs as a stratification factor in clinical trials. We present the design of a biomarker risk-mitigation workflow that can be applied to any biomarker incorporation in clinical trials. We demonstrate the implementation of this concept using sTILs as an integral biomarker in a single-center phase II immunotherapy trial for metastatic TNBC (TONIC trial, NCT02499367), using this workflow to mitigate risks of suboptimal inclusion of sTILs in this specific trial. In this review, we demonstrate that a web-based scoring platform can mitigate potential risk factors when including sTILs in clinical trials, and we argue that this framework can be applied for any future biomarker-driven clinical trial setting

Evaluation of 18FDG PET-CT in the diagnosis of endometriosis: a prospective study.

Noninvasive techniques have poor sensitivity and specificity in diagnosing endometriosis, which is often associated with an inflammatory process. In several benign diseases, measurement of hypermetabolism using fluorodeoxyglucose (18F 18FDG) reflects the degree of inflammation and aggressiveness of the disease. This prospective study evaluated the value of (18)FDG positron emission tomography (PET)-computed tomography (CT) in assessing the presence of endometriosis.Evaluation StudiesJournal ArticleResearch Support, Non-U.S. Gov'tSCOPUS: ar.jinfo:eu-repo/semantics/publishe

The role of perilesional and multiparametric resonance imaging-targeted biopsies to reduce the risk of upgrading at radical prostatectomy pathology: A retrospective monocentric study

Purpose: To evaluate histopathologic upgrading between biopsy methods and whole-mount prostatectomy specimens in International Society of Urological Pathology grade group.Methods: Overall, 134 patients, including 175 magnetic resonance imaging (MRI)-suspicious lesions, diagnosed on MRI-targeted (TB) and systematic (SB) biopsies before radical prostatectomy were retrospectively analyzed from a prospectively maintained database. Perilesional (PLB) and "extended" perilesional (ePLB) biopsies were defined as those taken within a circumferential zone of 5 and 10 mm around magnetic resonance imaging (MRI)-suspicious lesion respectively. Proportion of upgrading at prostatectomy pathology were compared between TB, TB + PLB, TP + ePLB and TB + SB. Uni- and multivariable logistic regressions assessed predictors of upgrading for TB + ePLB method.Results: Focusing on index lesion, median (interquartile range) number of cores taken was 4 (3-4) for TB, 5 (4-6) for TB + PLB, 6 (5 -8) for TB + ePLB and 12 (12-15) for TB + SB. A higher upgrading proportion was detected upon comparing TB and TB + PLB methods to TB + SB (32 vs. 19%, P = 0.001, 26 vs. 19%, P = 0.04, respectively). Conversely, no significant difference was found between TB + ePLB compared to TB + SB (23 vs. 19%, P = 0.2). Proportion of downgrading was similar regardless of biopsy method (all P &gt; 0.1). At multivariable analysis, Prostate Imaging-Reporting and Data System Steering score, total number of positive ePLB cores and International Society of Urological Pathology Grade Group were independent predictors of upgrading (all P = 0.03). Similar results were found by adding data from non-index lesions.Conclusion: Our finding suggest that MRI-targeted biopsies associated with perilesional sampling in a circumferential zone of 10 mm reduced upgrading proportion and showed similar accuracy as the current gold standard combination. Further prospective studies comparing biopsy methods are expected to validate this diagnostic strategy. (C) 2022 Elsevier Inc. All rights reserved