Breast Cancer in Argentina. Surrogate Parameters, Instead of the Genetic Profile, for Recurrence Risk Evaluation Inearly Stages,Estrogenreceptor-Positive, Her2-Neu Negative, Lymph Node-Negative” Cases in A Middle – Income Country.

Article Fingerprint
Research ID UR0T5

IntelliPaper

Abstract

Background. BreastCancer (BC)is the main cause of death and disability among women in low- and middle-income (MIC) countries like Argentina. In BCthe study of genic profile of cancer has been encouraged. Implementation of the multigene panels assay has led to a change in the manner in which chemotherapy is utilized mainly in patients with, early stage, estrogen receptor (ER)-positive, Her2-neu negative, lymph node-negativeBC. Unfortunately, all these tests are expensive. Given the potential savings in cost, algorithms have been proposed to predict Oncotype DX recurrence score (ODX RS) using commonly acquired clinical and histopathologic variables designated as subrogateparameters (SP).Materials and Methods. We evaluate the possibility, in a MIC country, of having the necessary data from the normally required report of the BC, in order to apply some of the ten (10) selected published algorithms offered as alternatives to ODXRS. From 1832 (stage I to IV) BC cases reported, between 2012 and 2015, a subset of 706 (38,5%) early stages “ER (+) / HER2 (-) / lymph node-negative” BC, was identified and analyzed. An online search and selection of published scientific research on same thematic, from 2010 onwards, was carried out.

Explore Digital Article Text

Article file ID not found.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

Not applicable

Data Availability

The datasets used in this study are openly available at [repository link] and the source code is available on GitHub at [GitHub link].

Funding

This work did not receive any external funding.

Cite this article

Generating citation...

Related Research

  • Classification

    NLM Code: WP 870

  • Version of record

    v1.0

  • Issue date

    10 January 2024

  • Language

    en

Article Placeholder
Open Access
Research Article
CC-BY-NC 4.0
Support