Literature DB >> 26808126

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

Thaer Khoury1, Xiao Huang, Xiwei Chen, Dan Wang, Song Liu, Mateusz Opyrchal.   

Abstract

BACKGROUND: Pathology-generated equations have been introduced to predict Oncotype DX recurrence score (ORS) in breast cancer. The purpose of the study is to improve these equations.
MATERIALS AND METHODS: Slides from 416 (test set) consecutive breast cancers with available Oncotype DX were reviewed. A validation set (n=91) was prospectively scored using the generated formulas from the test set. The following histopathologic features were graded: Nottingham grade (designated as current Nottingham grade), necrosis, and degree of tumor-infiltrating lymphocytes. The following data were extracted from the pathology report: Nottingham grade (designated as reported Nottingham grade), tumor size, ER/PR Allred scores, HER2 status, and ORS. Equations were calculated, one included the reported Nottingham grade, one included the current Nottingham grade, and one included the current Nottingham grade with the other significant histopathologic variables.
RESULTS: In the equation that included the reported Nottingham grade, ER, PR, and HER2, the overall concordance with the ORS was 64.86%. After excluding the intermediate category detected by the formula, the concordance rate was 95.28%. When the current Nottingham grade was included, the concordance rate became 69.61% and 98.62%, respectively. When necrosis and the degree of tumor-infiltrating lymphocytes were added to the previous equation, these rates became 70.1% and 98.63%, respectively.
CONCLUSIONS: Our equation has better correlation with ORS than previously published results.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 26808126      PMCID: PMC4958031          DOI: 10.1097/PAI.0000000000000248

Source DB:  PubMed          Journal:  Appl Immunohistochem Mol Morphol        ISSN: 1533-4058


  24 in total

1.  The evaluation of tumor-infiltrating lymphocytes (TILs) in breast cancer: recommendations by an International TILs Working Group 2014.

Authors:  R Salgado; C Denkert; S Demaria; N Sirtaine; F Klauschen; G Pruneri; S Wienert; G Van den Eynden; F L Baehner; F Penault-Llorca; E A Perez; E A Thompson; W F Symmans; A L Richardson; J Brock; C Criscitiello; H Bailey; M Ignatiadis; G Floris; J Sparano; Z Kos; T Nielsen; D L Rimm; K H Allison; J S Reis-Filho; S Loibl; C Sotiriou; G Viale; S Badve; S Adams; K Willard-Gallo; S Loi
Journal:  Ann Oncol       Date:  2014-09-11       Impact factor: 32.976

2.  Prognostic role of a multigene reverse transcriptase-PCR assay in patients with node-negative breast cancer not receiving adjuvant systemic therapy.

Authors:  Francisco J Esteva; Aysegul A Sahin; Massimo Cristofanilli; Kevin Coombes; Sang-Joon Lee; Joffre Baker; Maureen Cronin; Michael Walker; Drew Watson; Steven Shak; Gabriel N Hortobagyi
Journal:  Clin Cancer Res       Date:  2005-05-01       Impact factor: 12.531

3.  Estrogen receptor status by immunohistochemistry is superior to the ligand-binding assay for predicting response to adjuvant endocrine therapy in breast cancer.

Authors:  J M Harvey; G M Clark; C K Osborne; D C Allred
Journal:  J Clin Oncol       Date:  1999-05       Impact factor: 44.544

4.  High false-negative rate of HER2 quantitative reverse transcription polymerase chain reaction of the Oncotype DX test: an independent quality assurance study.

Authors:  David J Dabbs; Molly E Klein; Syed K Mohsin; Raymond R Tubbs; Yongli Shuai; Rohit Bhargava
Journal:  J Clin Oncol       Date:  2011-10-11       Impact factor: 44.544

5.  Oncotype DX RT-qPCR assay for ER and PR correlation with IHC: a study of 3 different clones.

Authors:  Thaer Khoury; Li Yan; Song Liu; Wiam Bshara
Journal:  Appl Immunohistochem Mol Morphol       Date:  2015-03

6.  Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up.

Authors:  C W Elston; I O Ellis
Journal:  Histopathology       Date:  1991-11       Impact factor: 5.087

7.  Histopathologic variables predict Oncotype DX recurrence score.

Authors:  Melina B Flanagan; David J Dabbs; Adam M Brufsky; Sushil Beriwal; Rohit Bhargava
Journal:  Mod Pathol       Date:  2008-10       Impact factor: 7.842

8.  Interobserver reproducibility of the Nottingham modification of the Bloom and Richardson histologic grading scheme for infiltrating ductal carcinoma.

Authors:  H F Frierson; R A Wolber; K W Berean; D W Franquemont; M J Gaffey; J C Boyd; D C Wilbur
Journal:  Am J Clin Pathol       Date:  1995-02       Impact factor: 2.493

9.  A population-based study of tumor gene expression and risk of breast cancer death among lymph node-negative patients.

Authors:  Laurel A Habel; Steven Shak; Marlena K Jacobs; Angela Capra; Claire Alexander; Mylan Pho; Joffre Baker; Michael Walker; Drew Watson; James Hackett; Noelle T Blick; Deborah Greenberg; Louis Fehrenbacher; Bryan Langholz; Charles P Quesenberry
Journal:  Breast Cancer Res       Date:  2006-05-31       Impact factor: 6.466

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

View more
  11 in total

1.  Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers.

Authors:  Cheng Lu; David Romo-Bucheli; Xiangxue Wang; Andrew Janowczyk; Shridar Ganesan; Hannah Gilmore; David Rimm; Anant Madabhushi
Journal:  Lab Invest       Date:  2018-06-29       Impact factor: 5.662

2.  A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers.

Authors:  David Romo-Bucheli; Andrew Janowczyk; Hannah Gilmore; Eduardo Romero; Anant Madabhushi
Journal:  Cytometry A       Date:  2017-02-13       Impact factor: 4.355

3.  Racial differences in estrogen receptor staining levels and implications for treatment and survival among estrogen receptor positive, HER2-negative invasive breast cancers.

Authors:  Kristen S Purrington; David Gorski; Michael S Simon; Theresa A Hastert; Seongho Kim; Rayna Rosati; Ann G Schwartz; Manohar Ratnam
Journal:  Breast Cancer Res Treat       Date:  2020-03-31       Impact factor: 4.872

4.  Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide Images.

Authors:  David Romo-Bucheli; Andrew Janowczyk; Hannah Gilmore; Eduardo Romero; Anant Madabhushi
Journal:  Sci Rep       Date:  2016-09-07       Impact factor: 4.379

5.  Evaluation of the Predictive and Prognostic Values of Stromal Tumor-Infiltrating Lymphocytes in HER2-Positive Breast Cancers treated with neoadjuvant chemotherapy.

Authors:  Xia Yang; Jia Rao; Wentao Yang; Ruohong Shui
Journal:  Target Oncol       Date:  2018-12       Impact factor: 4.493

6.  Breast Cancers With Magee Equation Score of Less Than 18, or 18-25 and Mitosis Score of 1, Do Not Require Oncotype DX Testing: A Value Study.

Authors:  Rohit Bhargava; Beth Z Clark; David J Dabbs
Journal:  Am J Clin Pathol       Date:  2019-02-04       Impact factor: 2.493

7.  Variation in breast cancer grading in 1,636 resections assessed using control charts and in silico kappa.

Authors:  Jinesa Moodley; Phillip Williams; Gabriela Gohla; Pierre Major; Michael Bonert
Journal:  PLoS One       Date:  2020-12-28       Impact factor: 3.240

8.  Ki-67 Expression in Breast Cancer Tissue Microarrays: Assessing Tumor Heterogeneity, Concordance With Full Section, and Scoring Methods.

Authors:  Thaer Khoury; Gary Zirpoli; Stephanie M Cohen; Joseph Geradts; Angela Omilian; Warren Davis; Wiam Bshara; Ryan Miller; Michelle M Mathews; Melissa Troester; Julie R Palmer; Christine B Ambrosone
Journal:  Am J Clin Pathol       Date:  2017-08-01       Impact factor: 2.493

9.  The healthcare value of the Magee Decision Algorithm™: use of Magee Equations™ and mitosis score to safely forgo molecular testing in breast cancer.

Authors:  Rohit Bhargava; Beth Z Clark; Gloria J Carter; Adam M Brufsky; David J Dabbs
Journal:  Mod Pathol       Date:  2020-03-17       Impact factor: 7.842

10.  Oncotype DX Breast Cancer recurrence score resists inter-assay reproducibility with RT2-Profiler Multiplex RT-PCR.

Authors:  Verena Schildgen; Mathias Warm; Michael Brockmann; Oliver Schildgen
Journal:  Sci Rep       Date:  2019-12-30       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.