Literature DB >> 22173289

A mitotically active, cellular tumor stroma and/or inflammatory cells associated with tumor cells may contribute to intermediate or high Oncotype DX Recurrence Scores in low-grade invasive breast carcinomas.

Geza Acs1, Nicole N Esposito, John Kiluk, Loretta Loftus, Christine Laronga.   

Abstract

Oncotype DX is an RT-PCR-based 21-gene assay validated to provide prognostic and predictive information in the form of a Recurrence Score in patients with estrogen receptor-positive, lymph node-negative breast cancer. Although the Recurrence Score was shown to correlate with several histopathological tumor features, there is a significant proportion of cases showing an apparent discrepancy between Recurrence Score and risk estimates based on the traditional clinicopathological tumor features. In this study, we tested whether a proliferating, cellular stroma and/or admixed inflammatory cells may result in an artificially increased Recurrence Score in low-grade invasive breast cancers. We analyzed the histopathological features in 141 low-grade invasive breast carcinomas, including 41 special type (tubular, cribriform and mucinous) carcinomas, with available Recurrence Score. The tumor stroma was evaluated for increased cellularity and presence of inflammatory cells. Double immunohistochemical stains for pancytokeratin and Ki-67 was performed to assess the cell proliferation in tumor vs stromal/inflammatory cells. The clinicopathological features of tumors with Recurrence Score <18 (low risk) were compared with those with Recurrence Score ≥18 (intermediate/high risk). Carcinomas associated with Recurrence Score ≥18 showed lower progesterone receptor immunoreactivity, increased stromal cellularity and presence of inflammatory cells associated with the tumor. Double immunohistochemical stains showed significantly increased proliferation in stromal/inflammatory cells compared with carcinoma cells in cases associated with Recurrence Score ≥18. A Ki-67-positive stromal/tumor cells ratio of >1 predicted Recurrence Score ≥18 with an area under the curve of 0.8967 on receiver operator curve analysis (P<0.0001). Our results suggest that the presence of increased stromal cellularity and/or associated inflammatory cells in low-grade invasive breast carcinomas may contribute to an apparently increased risk of recurrence according to Oncotype DX Recurrence Score. Careful assessment and correlation with histopathological features in such cases may help in determining the appropriate patient management.

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Year:  2011        PMID: 22173289     DOI: 10.1038/modpathol.2011.194

Source DB:  PubMed          Journal:  Mod Pathol        ISSN: 0893-3952            Impact factor:   7.842


  20 in total

1.  Use of modified Magee equations and histologic criteria to predict the Oncotype DX recurrence score.

Authors:  Bradley M Turner; Kristin A Skinner; Ping Tang; Mary C Jackson; Nyrie Soukiazian; Michelle Shayne; Alissa Huston; Marilyn Ling; David G Hicks
Journal:  Mod Pathol       Date:  2015-05-01       Impact factor: 7.842

2.  Will oncotype DX DCIS testing guide therapy? A single-institution correlation of oncotype DX DCIS results with histopathologic findings and clinical management decisions.

Authors:  Chieh-Yu Lin; Kelly Mooney; Winward Choy; Soo-Ryum Yang; Keegan Barry-Holson; Kathleen Horst; Irene Wapnir; Kimberly Allison
Journal:  Mod Pathol       Date:  2017-12-15       Impact factor: 7.842

3.  Magee Equation 3 predicts pathologic response to neoadjuvant systemic chemotherapy in estrogen receptor positive, HER2 negative/equivocal breast tumors.

Authors:  Daniel J Farrugia; Alessandra Landmann; Li Zhu; Emilia J Diego; Ronald R Johnson; Marguerite Bonaventura; Atilla Soran; David J Dabbs; Beth Z Clark; Shannon L Puhalla; Rachel C Jankowitz; Adam M Brufsky; Barry C Lembersky; Gretchen M Ahrendt; Priscilla F McAuliffe; Rohit Bhargava
Journal:  Mod Pathol       Date:  2017-05-26       Impact factor: 7.842

4.  The 21-gene recurrence score in special histologic subtypes of breast cancer with favorable prognosis.

Authors:  Gulisa Turashvili; Edi Brogi; Monica Morrow; Clifford Hudis; Maura Dickler; Larry Norton; Hannah Y Wen
Journal:  Breast Cancer Res Treat       Date:  2017-06-03       Impact factor: 4.872

5.  Supervised machine learning model to predict oncotype DX risk category in patients over age 50.

Authors:  Kate R Pawloski; Mithat Gonen; Hannah Y Wen; Audree B Tadros; Donna Thompson; Kelly Abbate; Monica Morrow; Mahmoud El-Tamer
Journal:  Breast Cancer Res Treat       Date:  2021-11-09       Impact factor: 4.624

6.  Estrogen switches pure mucinous breast cancer to invasive lobular carcinoma with mucinous features.

Authors:  Purevsuren Jambal; Melanie M Badtke; J Chuck Harrell; Virginia F Borges; Miriam D Post; Grace E Sollender; Monique A Spillman; Kathryn B Horwitz; Britta M Jacobsen
Journal:  Breast Cancer Res Treat       Date:  2012-12-18       Impact factor: 4.872

7.  Intratumor Heterogeneity Affects Gene Expression Profile Test Prognostic Risk Stratification in Early Breast Cancer.

Authors:  Rekha Gyanchandani; Yan Lin; Hui-Min Lin; Kristine Cooper; Daniel P Normolle; Adam Brufsky; Michael Fastuca; Whitney Crosson; Steffi Oesterreich; Nancy E Davidson; Rohit Bhargava; David J Dabbs; Adrian V Lee
Journal:  Clin Cancer Res       Date:  2016-05-16       Impact factor: 12.531

8.  Comprehensive Histologic Scoring to Maximize the Predictability of Pathology-generated Equation of Breast Cancer Oncotype DX Recurrence Score.

Authors:  Thaer Khoury; Xiao Huang; Xiwei Chen; Dan Wang; Song Liu; Mateusz Opyrchal
Journal:  Appl Immunohistochem Mol Morphol       Date:  2016 Nov/Dec

Review 9.  Molecular Biology in the Breast Clinics-Current status and future perspectives.

Authors:  Vani Parmar; Nita S Nair; Purvi Thakkar; Garvit Chitkara
Journal:  Indian J Surg Oncol       Date:  2019-08-10

10.  Prediction of the Oncotype DX recurrence score: use of pathology-generated equations derived by linear regression analysis.

Authors:  Molly E Klein; David J Dabbs; Yongli Shuai; Adam M Brufsky; Rachel Jankowitz; Shannon L Puhalla; Rohit Bhargava
Journal:  Mod Pathol       Date:  2013-03-15       Impact factor: 7.842

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