Browsing by Author "Lakhani, Sunil R."

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    Breast cancer prognostic classification in the molecular era: the role of histological grade
    (BMC, 2010-07-30) Rakha, Emad A.; Reis-Filho, Jorge S.; Baehner, Frederick; Dabbs, David J.; Decker, Thomas; Eusebi, Vincenzo; Fox, Stephen B.; Ichihara, Shu; Jacquemier, Jocelyne; Lakhani, Sunil R.; Palacios, José; Richardson, Andrea L; Schnitt, Stuart J.; Schmitt, Fernando C.; Tan, Puay-Hoon; Tse, Gary M.; Badve, Sunil; Ellis, Ian O.; Pathology and Laboratory Medicine, School of Medicine
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    Invasion in breast lesions: the role of the epithelial-stroma barrier
    (Wiley, 2018) Rakha, Emad A.; Miligy, Islam; Gorringe, Kylie L.; Toss, Michael S.; Green, Andrew R.; Fox, Stephen B.; Schmitt, Fernando C.; Tan, Puay-Hoon; Tse, Gary M.; Badve, Sunil; Decker, Thomas; Vincent-Salomon, Anne; Dabbs, David J.; Foschini, Maria P.; Moreno, Filipa; Wentao, Yang; Geyer, Felipe C.; Reis-Filho, Jorge S.; Pinder, Sarah E.; Lakhani, Sunil R.; Ellis, Ian O.; Pathology and Laboratory Medicine, School of Medicine
    Despite the significant biological, behavioural and management differences between ductal carcinoma in situ (DCIS) and invasive carcinoma of the breast, they share many morphological and molecular similarities. Differentiation of these two different lesions in breast pathological diagnosis is typically based on the presence of an intact barrier between the malignant epithelial cells and stroma, namely the myoepithelial cell (MEC) layer and surrounding basement membrane (BM). Despite being robust diagnostic criteria, the identification of MECs and BM to differentiate in situ from invasive carcinoma is not always straightforward. The MEC layer around DCIS may be interrupted and/or show an altered immunoprofile. MECs may be absent in some benign locally infiltrative lesions such as microglandular adenosis and infiltrating epitheliosis, and occasionally in non-infiltrative conditions such as apocrine lesions, and in these contexts this does not denote malignancy or invasive disease with metastatic potential. MECs may be also absent around some malignant lesions such as some forms of papillary carcinoma yet these behave in an indolent fashion akin to some DCIS. In Paget's disease, malignant mammary epithelial cells extend anteriorly from the ducts to infiltrate the epidermis of the nipple but do not typically infiltrate through the BM into the dermis. Conversely, BM-like material can be seen around invasive carcinoma cells and around metastatic tumour cell deposits. Here, we review the role of MECs and BM in breast pathology and highlight potential clinical implications. We advise caution in interpretation of MEC features in breast pathology and mindfulness of the substantive evidence base in the literature associated with behaviour and clinical outcome of lesions classified as benign on conventional morphological examination before changing classification to an invasive lesion on the sole basis of MEC characteristics.
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    Phyllodes tumours of the breast: a consensus review
    (Wiley, 2016-01) Tan, Benjamin Y.; Acs, Geza; Apple, Sophia K.; Badve, Sunil S.; Bleiweiss, Ira J.; Brogi, Edi; Calvo, José P.; Dabbs, David J.; Ellis, Ian O.; Eusebi, Vincenzo; Farshid, Gelareh; Fox, Stephen B.; Ichihara, Shu; Lakhani, Sunil R.; Rakha, Emad A.; Reis-Filho, Jorge S.; Richardson, Andrea L.; Sahin, Aysegul; Schmitt, Fernando C.; Schnitt, Stuart J.; Siziopikou, Kalliopi P.; Soares, Fernando A.; Tse, Gary M.; Vincent-Salomon, Anne; Tan, Puay Hoon; Pathology and Laboratory Medicine, School of Medicine
    Phyllodes tumours constitute an uncommon but complex group of mammary fibroepithelial lesions. Accurate and reproducible grading of these tumours has long been challenging, owing to the need to assess multiple stratified histological parameters, which may be weighted differently by individual pathologists. Distinction of benign phyllodes tumours from cellular fibroadenomas is fraught with difficulty, due to overlapping microscopic features. Similarly, separation of the malignant phyllodes tumour from spindle cell metaplastic carcinoma and primary breast sarcoma can be problematic. Phyllodes tumours are treated by surgical excision. However, there is no consensus on the definition of an appropriate surgical margin to ensure completeness of excision and reduction of recurrence risk. Interpretive subjectivity, overlapping histological diagnostic criteria, suboptimal correlation between histological classification and clinical behaviour and the lack of robust molecular predictors of outcome make further investigation of the pathogenesis of these fascinating tumours a matter of active research. This review consolidates the current understanding of their pathobiology and clinical behaviour, and includes proposals for a rational approach to the classification and management of phyllodes tumours.
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    Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group
    (Nature Research, 2020-05-12) Amgad, Mohamed; Stovgaard, Elisabeth Specht; Balslev, Eva; Thagaard, Jeppe; Chen, Weijie; Dudgeon, Sarah; Sharma, Ashish; Kerner, Jennifer K.; Denkert, Carsten; Yuan, Yinyin; AbdulJabbar, Khalid; Wienert, Stephan; Savas, Peter; Voorwerk, Leonie; Beck, Andrew H.; Madabhushi, Anant; Hartman, Johan; Sebastian, Manu M.; Horlings, Hugo M.; Hudeček, Jan; Ciompi, Francesco; Moore, David A.; Singh, Rajendra; Roblin, Elvire; Balancin, Marcelo Luiz; Mathieu, Marie-Christine; Lennerz, Jochen K.; Kirtani, Pawan; Chen, I-Chun; Braybrooke, Jeremy P.; Pruneri, Giancarlo; Demaria, Sandra; Adams, Sylvia; Schnitt, Stuart J.; Lakhani, Sunil R.; Rojo, Federico; Comerma, Laura; Badve, Sunil S.; Khojasteh, Mehrnoush; Symmans, W. Fraser; Sotiriou, Christos; Gonzalez-Ericsson, Paula; Pogue-Geile, Katherine L.; Kim, Rim S.; Rimm, David L.; Viale, Giuseppe; Hewitt, Stephen M.; Bartlett, John M. S.; Penault-Llorca, Frédérique; Goel, Shom; Lien, Huang-Chun; Loibl, Sibylle; Kos, Zuzana; Loi, Sherene; Hanna, Matthew G.; Michiels, Stefan; Kok, Marleen; Nielsen, Torsten O.; Lazar, Alexander J.; Bago-Horvath, Zsuzsanna; Kooreman, Loes F. S.; Van der Laak, Jeroen A.W. M.; Saltz, Joel; Gallas, Brandon D.; Kurkure, Uday; Barnes, Michael; Salgado, Roberto; Cooper, Lee A. D.; International Immuno-Oncology Biomarker Working Group; Pathology and Laboratory Medicine, School of Medicine
    Assessment of tumor-infiltrating lymphocytes (TILs) is increasingly recognized as an integral part of the prognostic workflow in triple-negative (TNBC) and HER2-positive breast cancer, as well as many other solid tumors. This recognition has come about thanks to standardized visual reporting guidelines, which helped to reduce inter-reader variability. Now, there are ripe opportunities to employ computational methods that extract spatio-morphologic predictive features, enabling computer-aided diagnostics. We detail the benefits of computational TILs assessment, the readiness of TILs scoring for computational assessment, and outline considerations for overcoming key barriers to clinical translation in this arena. Specifically, we discuss: 1. ensuring computational workflows closely capture visual guidelines and standards; 2. challenges and thoughts standards for assessment of algorithms including training, preanalytical, analytical, and clinical validation; 3. perspectives on how to realize the potential of machine learning models and to overcome the perceptual and practical limits of visual scoring.