Literature DB >> 22961065

Lobular histology and response to neoadjuvant chemotherapy in invasive breast cancer.

Esther H Lips1, Rita A Mukhtar, Christina Yau, Jorma J de Ronde, Chad Livasy, Lisa A Carey, Claudette E Loo, Marie-Jeanne T F D Vrancken-Peeters, Gabe S Sonke, Donald A Berry, Laura J Van't Veer, Laura J Esserman, Jelle Wesseling, Sjoerd Rodenhuis, E Shelley Hwang.   

Abstract

Invasive lobular carcinoma (ILC) has been reported to be less responsive to neoadjuvant chemotherapy (NAC) than invasive ductal carcinoma (IDC). We sought to determine whether ILC histology indeed predicts poor response to NAC by analyzing tumor characteristics such as protein expression, gene expression, and imaging features, and by comparing NAC response rates to those seen in IDC after adjustment for these factors. We combined datasets from two large prospective NAC trials, including in total 676 patients, of which 75 were of lobular histology. Eligible patients had tumors ≥3 cm in diameter or pathologic documentation of positive nodes, and underwent serial biopsies, expression microarray analysis, and MRI imaging. We compared pathologic complete response (pCR) rates and breast conservation surgery (BCS) rates between ILC and IDC, adjusted for clinicopathologic factors. On univariate analysis, ILCs were significantly less likely to have a pCR after NAC than IDCs (11 vs. 25 %, p = 0.01). However, the known differences in tumor characteristics between the two histologic types, including hormone receptor (HR) status, HER2 status, histological grade, and p53 expression, accounted for this difference with the lowest pCR rates among HR+/HER2- tumors in both ILC and IDC (7 and 5 %, respectively). ILC which were HR- and/or HER2+ had a pCR rate of 25 %. Expression subtyping, particularly the NKI 70-gene signature, was correlated with pCR, although the small numbers of ILC in each group precluded significant associations. BCS rate did not differ between IDC and ILC after adjusting for molecular characteristics. We conclude that ILC represents a heterogeneous group of tumors which are less responsive to NAC than IDC. However, this difference is explained by differences in molecular characteristics, particularly HR and HER2, and independent of lobular histology.

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Year:  2012        PMID: 22961065      PMCID: PMC5702179          DOI: 10.1007/s10549-012-2233-z

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  32 in total

1.  Neoadjuvant versus adjuvant systemic treatment in breast cancer: a meta-analysis.

Authors:  Davide Mauri; Nicholas Pavlidis; John P A Ioannidis
Journal:  J Natl Cancer Inst       Date:  2005-02-02       Impact factor: 13.506

Review 2.  Neoadjuvant chemotherapy for operable breast cancer.

Authors:  J S D Mieog; J A van der Hage; C J H van de Velde
Journal:  Br J Surg       Date:  2007-10       Impact factor: 6.939

3.  Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival.

Authors:  Howard Y Chang; Dimitry S A Nuyten; Julie B Sneddon; Trevor Hastie; Robert Tibshirani; Therese Sørlie; Hongyue Dai; Yudong D He; Laura J van't Veer; Harry Bartelink; Matt van de Rijn; Patrick O Brown; Marc J van de Vijver
Journal:  Proc Natl Acad Sci U S A       Date:  2005-02-08       Impact factor: 11.205

4.  Should histologic type be taken into account when considering neoadjuvant chemotherapy in breast carcinoma?

Authors:  Peggy S Sullivan; Sophia K Apple
Journal:  Breast J       Date:  2009 Mar-Apr       Impact factor: 2.431

5.  The 70-gene signature as a response predictor for neoadjuvant chemotherapy in breast cancer.

Authors:  Marieke E Straver; Annuska M Glas; Juliane Hannemann; Jelle Wesseling; Marc J van de Vijver; Emiel J Th Rutgers; Marie-Jeanne T F D Vrancken Peeters; Harm van Tinteren; Laura J Van't Veer; Sjoerd Rodenhuis
Journal:  Breast Cancer Res Treat       Date:  2009-02-13       Impact factor: 4.872

6.  The relevance of breast cancer subtypes in the outcome of neoadjuvant chemotherapy.

Authors:  M E Straver; E J Th Rutgers; S Rodenhuis; S C Linn; C E Loo; J Wesseling; N S Russell; H S A Oldenburg; N Antonini; M T F D Vrancken Peeters
Journal:  Ann Surg Oncol       Date:  2010-04-06       Impact factor: 5.344

7.  A simple system for grading the response of breast cancer to neoadjuvant chemotherapy.

Authors:  S Rodenhuis; I A M Mandjes; J Wesseling; M J van de Vijver; M-J T D F Vrancken Peeters; G S Sonke; S C Linn
Journal:  Ann Oncol       Date:  2009-08-28       Impact factor: 32.976

8.  Measurement of residual breast cancer burden to predict survival after neoadjuvant chemotherapy.

Authors:  W Fraser Symmans; Florentia Peintinger; Christos Hatzis; Radhika Rajan; Henry Kuerer; Vicente Valero; Lina Assad; Anna Poniecka; Bryan Hennessy; Marjorie Green; Aman U Buzdar; S Eva Singletary; Gabriel N Hortobagyi; Lajos Pusztai
Journal:  J Clin Oncol       Date:  2007-09-04       Impact factor: 44.544

9.  Supervised risk predictor of breast cancer based on intrinsic subtypes.

Authors:  Joel S Parker; Michael Mullins; Maggie C U Cheang; Samuel Leung; David Voduc; Tammi Vickery; Sherri Davies; Christiane Fauron; Xiaping He; Zhiyuan Hu; John F Quackenbush; Inge J Stijleman; Juan Palazzo; J S Marron; Andrew B Nobel; Elaine Mardis; Torsten O Nielsen; Matthew J Ellis; Charles M Perou; Philip S Bernard
Journal:  J Clin Oncol       Date:  2009-02-09       Impact factor: 44.544

10.  Novel markers for differentiation of lobular and ductal invasive breast carcinomas by laser microdissection and microarray analysis.

Authors:  Gulisa Turashvili; Jan Bouchal; Karl Baumforth; Wenbin Wei; Marta Dziechciarkova; Jiri Ehrmann; Jiri Klein; Eduard Fridman; Jozef Skarda; Josef Srovnal; Marian Hajduch; Paul Murray; Zdenek Kolar
Journal:  BMC Cancer       Date:  2007-03-27       Impact factor: 4.430

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  28 in total

Review 1.  Neoadjuvant paradigm for accelerated drug development: an ideal model in bladder cancer.

Authors:  David D Chism; Michael E Woods; Matthew I Milowsky
Journal:  Oncologist       Date:  2013-07-24

Review 2.  Surgical issues in patients with breast cancer receiving neoadjuvant chemotherapy.

Authors:  Tari A King; Monica Morrow
Journal:  Nat Rev Clin Oncol       Date:  2015-04-07       Impact factor: 66.675

3.  Clinicopathological characteristics and survival outcomes of invasive lobular carcinoma in different races.

Authors:  Li-Yuan Yang; Li-Peng Yang; Biao Zhu
Journal:  Oncotarget       Date:  2017-07-19

Review 4.  Trends and controversies in multidisciplinary care of the patient with breast cancer.

Authors:  Laura S Dominici; Monica Morrow; Elizabeth Mittendorf; Jennifer Bellon; Tari A King
Journal:  Curr Probl Surg       Date:  2016-11-29       Impact factor: 1.909

5.  Unifocal Invasive Lobular Carcinoma: Tumor Size Concordance Between Preoperative Ultrasound Imaging and Postoperative Pathology.

Authors:  Gopal R Vijayaraghavan; Srinivasan Vedantham; Gabriela Santos-Nunez; Rebecca Hultman
Journal:  Clin Breast Cancer       Date:  2018-07-27       Impact factor: 3.225

Review 6.  Differences between invasive lobular and invasive ductal carcinoma of the breast: results and therapeutic implications.

Authors:  Romualdo Barroso-Sousa; Otto Metzger-Filho
Journal:  Ther Adv Med Oncol       Date:  2016-04-25       Impact factor: 8.168

7.  Prediction of pathologic complete response to neoadjuvant chemotherapy using machine learning models in patients with breast cancer.

Authors:  Ji-Yeon Kim; Eunjoo Jeon; Soonhwan Kwon; Hyungsik Jung; Sunghoon Joo; Youngmin Park; Se Kyung Lee; Jeong Eon Lee; Seok Jin Nam; Eun Yoon Cho; Yeon Hee Park; Jin Seok Ahn; Young-Hyuck Im
Journal:  Breast Cancer Res Treat       Date:  2021-07-05       Impact factor: 4.872

8.  Reproductive risk factor associations with lobular and ductal carcinoma in the Carolina Breast Cancer Study.

Authors:  Lindsay A Williams; Hazel B Nichols; Katherine A Hoadley; Chiu Kit Tse; Joseph Geradts; Mary Elizabeth Bell; Charles M Perou; Michael I Love; Andrew F Olshan; Melissa A Troester
Journal:  Cancer Causes Control       Date:  2017-11-09       Impact factor: 2.506

9.  Standard Pathologic Features Can Be Used to Identify a Subset of Estrogen Receptor-Positive, HER2 Negative Patients Likely to Benefit from Neoadjuvant Chemotherapy.

Authors:  Oriana A Petruolo; Melissa Pilewskie; Sujata Patil; Andrea V Barrio; Michelle Stempel; Hannah Y Wen; Monica Morrow
Journal:  Ann Surg Oncol       Date:  2017-05-30       Impact factor: 5.344

10.  Mitotic score and pleomorphic histology in invasive lobular carcinoma of the breast: impact on disease-free survival.

Authors:  Rita A Mukhtar; Gregor Krings; Yunn-Yi Chen; Matina E Mamounas; Kelly Fahrner-Scott; Jasmine Wong; Michael Alvarado; Cheryl Ewing; Laura J Esserman; Hope Rugo
Journal:  Breast Cancer Res Treat       Date:  2020-04-02       Impact factor: 4.872

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