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Multicenter Study
. 2024 May:10:e2300216.
doi: 10.1200/GO.23.00216.

Implementing Standard Diagnosis and Treatment for Locally Advanced Breast Cancer Through Global Research in Latin America: Results From a Multicountry Pragmatic Trial

Javier Retamales  1 Adrián Daneri-Navarro  2 Nora Artagaveytia  3 Daniela Alves da Quinta  4   5 Eliana Abdelhay  6 Osvaldo L Podhajcer  4 Carlos Velázquez  7 Diego Giunta  8 Susanne Crocamo  6 Adriana Garibay-Escobar  7 Alicia Del Toro-Arreola  2 Robinson Rodriguez  3 Marta Aghazarian  9 Elsa Alcoba  10 Isabel Alonso  11 Renata Binato  6 Alicia I Bravo  12 Juan Canton-Romero  13 Dirce M Carraro  14 Mónica Castro  15 Juan Castro-Cervantes  16 Sandra Cataldi  9 Natalia Camejo  3 Laura Cortes-Sanabria  16 Maria Flores-Marquez  16 Guillermo Laviña  3 Eduardo Musetti  11 Benedicta Caserta  11 Mauricio Cerda  17 Alicia Colombo  17 Raul Delgadillo-Cristerna  16 Marisa Dreyer Breitenbach  18 Elmer Fernandez  19 Jorge Fernandez  20 Ramon Franco-Topete  21 Carolina Gabay  15 Fancy Gaete  22 Jorge Gamboa  23 Ricardo García-Gaeta  2 Mariana Gomez Del Toro  2 Leivy P Gonzalez-Ramirez  2 Marisol Guerrero  24 Manuel Herrera-Miramontes  2 Alejandra Lopez-Vasquez  7 Silvina Maldonado  12 Andrés Morán-Mendoza  13 Gilberto Morgan-Villela  16 Maria Aparecida Nagai  25 Nancy Navarro-Ruiz  2 Antonio Oceguera-Villanueva  26 Miguel Angel Ortiz  27 Jael Quintero  7 Antonio Quintero-Ramos  2 Gladys Ramirez-Rosales  2 Maritza Ramos-Ramirez  2 Marcia Maria Chiquitelli Marques  28 Ernesto Rivera Claisse  29 Diego Rodriguez-Gonzalez  2 Ana Romero-Gomez  2 Cristina Rosales  10 Efraín Salas-Gonzalez  13 Verónica Sanchotena  10 Laura Segovia  30 Aída A Silva-García  21 Olivia Valenzuela-Antelo  7 Laura Venegas-Godinez  2 Livia Zagame  4 Jorge Gomez  31 Latin American Cancer Research Network (LACRN)Andrea S Llera  4 Bettina Müller  1   32
Affiliations
Multicenter Study

Implementing Standard Diagnosis and Treatment for Locally Advanced Breast Cancer Through Global Research in Latin America: Results From a Multicountry Pragmatic Trial

Javier Retamales et al. JCO Glob Oncol. 2024 May.

Abstract

Purpose: Breast cancer mortality rates in Latin America (LA) are higher than those in the United States, possibly because of advanced disease presentation, health care disparities, or unfavorable molecular subtypes. The Latin American Cancer Research Network was established to address these challenges and to promote collaborative clinical research. The Molecular Profiling of Breast Cancer Study (MPBCS) aimed to evaluate the clinical characteristics and treatment outcomes of LA participants with locally advanced breast cancer (LABC).

Patients and methods: The MPBCS enrolled 1,449 participants from Argentina, Brazil, Chile, Mexico, and Uruguay. Through harmonized procedures and quality assurance measures, this study evaluated clinicopathologic characteristics, neoadjuvant chemotherapy response, and survival outcomes according to residual cancer burden (RCB) and the type of surgery.

Results: Overall, 711 and 480 participants in the primary surgery and neoadjuvant arms, respectively, completed the 5-year follow-up period. Overall survival was independently associated with RCB (worse survival for RCBIII-adjusted hazard ratio, 8.19, P < .001, and RCBII [adjusted hazard ratio, 3.69, P < .008] compared with RCB0 [pathologic complete response or pCR]) and type of surgery (worse survival in mastectomy than in breast-conserving surgery [BCS], adjusted hazard ratio, 2.97, P = .001). The hormone receptor-negative-human epidermal growth factor receptor 2-positive group had the highest proportion of pCR (48.9%). The analysis of the ASCO Quality Oncology Practice Initiative breast module revealed high compliance with pathologic standards but lower adherence to treatment administration standards. Notably, compliance with trastuzumab administration varied widely among countries (33.3%-88.7%).

Conclusion: In LABC, we demonstrated the survival benefit of BCS and the prognostic effect of the response to available neoadjuvant treatments despite an important variability in access to key treatments. The MPBCS represents a significant step forward in understanding the real-world implementation of oncologic procedures in LA.

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Conflict of interest statement

The following represents disclosure information provided by authors of this manuscript. All relationships are considered compensated unless otherwise noted. Relationships are self-held unless noted. I = Immediate Family Member, Inst = My Institution. Relationships may not relate to the subject matter of this manuscript. For more information about ASCO's conflict of interest policy, please refer to www.asco.org/rwc or ascopubs.org/go/authors/author-center.

Open Payments is a public database containing information reported by companies about payments made to US-licensed physicians (Open Payments).

Andrea S. Llera

Consulting or Advisory Role: Roche

Research Funding: Bayer (Inst)

No other potential conflicts of interest were reported.

Figures

FIG 1
FIG 1
Kaplan-Meier analysis with the log-rank test of the overall survival of MPBCS patients assigned to the neoadjuvant arm, according to RCB. OS, overall survival; RCB, residual cancer burden.
FIG 2
FIG 2
RCB according to the breast cancer subtype in the neoadjuvant arm of the MPBCS cohort. Distribution of RCB by immunohistochemical subtypes is shown in the left panel and by PAM50 subtypes in the right panel. Numbers within circles are the number of patients in each category. Positive Pearson residuals (red hues) specified an attraction (positive association), and negative residuals (blue hues) implied a repulsion (negative association) between the corresponding row and column variables. HER2, human epidermal growth factor receptor 2; HR, hormone receptor; IHC, immunohistochemistry; MPBCS, Molecular Profiling of Breast Cancer Study; RCB, residual cancer burden.
FIG 3
FIG 3
Overall survival of MPBCS patients according to the type of surgery (BCS or total mastectomy). Kaplan-Meier survival curves with log-rank analysis (above) and univariate and IPTW-corrected Cox proportional hazards regression model hazard ratios with their correspondent 95% CIs and P values (below). aThe model considered (1) the type of surgery as the main predictor of survival, (2) variables that affect the type of surgery decision as weights from IPTW analysis, and (3) radiotherapy (yes/no) as a covariable. Analyses were performed only with the patients with no missing values in any of the variables involved. BCS, breast-conserving surgery; IPTW, inverse probability of treatment weighting; MPBCS, Molecular Profiling of Breast Cancer Study; OS, overall survival.
FIG A1
FIG A1
Covariance balance plot for all variables considered in the IPTW model. IPTW, inverse probability of treatment weighting.
FIG A2
FIG A2
CONSORT diagram for MPBCS patients analyzed in this work. MPBCS, Molecular Profiling of Breast Cancer Study.
FIG A3
FIG A3
Kaplan-Meier analysis with the log-rank test of the OS of MPBCS participants according to their (A) immunohistochemical and (B) PAM50 subtypes. MPBCS, Molecular Profiling of Breast Cancer Study; OS, overall survival.

References

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