Literature DB >> 15042669

Change in tumor cellularity of breast carcinoma after neoadjuvant chemotherapy as a variable in the pathologic assessment of response.

Radhika Rajan1, Anna Poniecka, Terry L Smith, Ying Yang, Deborah Frye, Lajos Pusztai, Derek J Fiterman, Eva Gal-Gombos, Gary Whitman, Roman Rouzier, Marjorie Green, Henry Kuerer, Aman U Buzdar, Gabriel N Hortobagyi, W Fraser Symmans.   

Abstract

BACKGROUND: Complete pathologic response of breast carcinoma to neoadjuvant chemotherapy is a well defined outcome that correlates with prolonged survival. Categorization of incomplete response depends on accurate measurement of residual tumor size but is complicated by the variable histopathologic changes that occur within the tumor bed. In the current study, the authors investigated the contribution of assessing tumor cellularity in the pathologic evaluation of response to chemotherapy.
METHODS: The slides from diagnostic core needle biopsy and the subsequent matched resection specimens were examined in 240 patients with breast carcinoma: 120 "treated" patients who received neoadjuvant chemotherapy and 120 "control" patients who received primary surgical management within a few weeks of diagnosis. Clinical response and residual tumor size were evaluated in 108 treated patients who completed a clinical trial with paclitaxel and then received combined 5-fluorouracil, doxorubicin, and cyclophosphamide chemotherapy. Tumor cellularity was assessed from hematoxylin and eosin-stained tissue sections as the percentage of tumor area that contained invasive carcinoma.
RESULTS: After neoadjuvant chemotherapy, tumor cellularity decreased from a median of 40% in core needle biopsy to 10% in resection specimens (P<0.01; Wilcoxon signed rank test). The cellularity of core needle biopsy (median, 30%) tended to underestimate the cellularity of resection specimens (median, 40%) in the control group (P<0.01). Changes in cellularity varied within each clinical response category, particularly partial response and minor response. The greatest reduction was observed in the cellularity of residual primary tumors that measured < or =1 cm (pathologic T1a [pT1a] and pT1b tumors), but changes in cellularity varied in the pT1, pT2, and pT3 residual tumor categories. The shape of the distribution of tumor size, expressed as the greatest dimension in cm, was similar in the control group and the treatment group (excluding complete pathologic response); however, when residual tumor size and cellularity were combined, the distribution of pathologic response shifted left (toward complete response) with a steep decline, suggesting that many tumors had a large reduction in cellularity but little change in the tumor size.
CONCLUSIONS: Cellularity of the tumor mass was reduced significantly by neoadjuvant chemotherapy, and the change varied widely in different categories of clinical response. Although residual tumors measuring < or =1 cm in greatest dimension had the most reduction in tumor cellularity, there was broad variability for all residual tumor groups (pT1-pT3). The frequency distribution of residual tumor size was altered markedly by the inclusion of tumor cellularity, indicating that the product of pathologic size and tumor cellularity may provide more accurate pathologic response information than tumor size alone. Copyright 2004 American Cancer Society.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15042669     DOI: 10.1002/cncr.20134

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  44 in total

Review 1.  Neoadjuvant therapy for breast cancer: assessing treatment progress and managing poor responders.

Authors:  Robert Wesolowski; Georg Thomas Budd
Journal:  Curr Oncol Rep       Date:  2009-01       Impact factor: 5.075

2.  Study of tumour cellularity in locally advanced breast carcinoma on neo-adjuvant chemotherapy.

Authors:  Swarup Kumar; Bhawana Ashok Badhe; K M Krishnan; Haritha Sagili
Journal:  J Clin Diagn Res       Date:  2014-04-15

3.  Gas6 expression is reduced in advanced breast cancers.

Authors:  Ayman M Ibrahim; Zane Gray; Angelica M Gomes; Leann Myers; Fariba Behbod; Heather L Machado
Journal:  NPJ Precis Oncol       Date:  2020-04-24

4.  Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challenge.

Authors:  Wei Huang; Xin Li; Yiyi Chen; Xia Li; Ming-Ching Chang; Matthew J Oborski; Dariya I Malyarenko; Mark Muzi; Guido H Jajamovich; Andriy Fedorov; Alina Tudorica; Sandeep N Gupta; Charles M Laymon; Kenneth I Marro; Hadrien A Dyvorne; James V Miller; Daniel P Barbodiak; Thomas L Chenevert; Thomas E Yankeelov; James M Mountz; Paul E Kinahan; Ron Kikinis; Bachir Taouli; Fiona Fennessy; Jayashree Kalpathy-Cramer
Journal:  Transl Oncol       Date:  2014-02-01       Impact factor: 4.243

Review 5.  Neoadjuvant chemotherapy in breast cancers.

Authors:  Shahla Masood
Journal:  Womens Health (Lond)       Date:  2016-09

6.  Inhibition of CDK-mediated phosphorylation of Smad3 results in decreased oncogenesis in triple negative breast cancer cells.

Authors:  Elizabeth Tarasewicz; Lisbi Rivas; Randala Hamdan; Danijela Dokic; Vamsi Parimi; Beatriz Penalver Bernabe; Alexandra Thomas; Lonnie D Shea; Jacqueline S Jeruss
Journal:  Cell Cycle       Date:  2014       Impact factor: 4.534

7.  Patterns of Regression in Breast Cancer after Primary Systemic Treatment.

Authors:  Tamás Zombori; Gábor Cserni
Journal:  Pathol Oncol Res       Date:  2018-11-27       Impact factor: 3.201

8.  [Morphological response to therapy of breast carcinoma].

Authors:  F Länger; H-J Lück; H H Kreipe
Journal:  Pathologe       Date:  2004-11       Impact factor: 1.011

9.  Predicting pathologic response to neoadjuvant chemotherapy in breast cancer by using MR imaging and quantitative 1H MR spectroscopy.

Authors:  Hyeon-Man Baek; Jeon-Hor Chen; Ke Nie; Hon J Yu; Shadfar Bahri; Rita S Mehta; Orhan Nalcioglu; Min-Ying Su
Journal:  Radiology       Date:  2009-03-10       Impact factor: 11.105

10.  The role of mean diffusivity (MD) as a predictive index of the response to chemotherapy in locally advanced breast cancer: a preliminary study.

Authors:  Chiara Iacconi; Marco Giannelli; Carolina Marini; Anna Cilotti; Monica Moretti; Paolo Viacava; Eugenia Picano; Andrea Michelotti; Davide Caramella
Journal:  Eur Radiol       Date:  2009-09-17       Impact factor: 5.315

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.