Targeted therapy for breast cancer in older patients

A comparison of treatment allocation and survival between younger and older patients with HER2-overexpressing de novo metastatic breast cancer

INTRODUCTION

There have been several developments in the treatment of HER2-overexpressing metastatic breast cancer. However, pivotal trials mainly included younger and healthier patients, resulting in a lack of information about the benefits and harms of treatment for most older patients. The aim of this study was to provide an overview of the differences in treatment allocation and survival outcomes over time between younger and older patients with HER2-overexpressing metastatic breast cancer.

MATERIALS AND METHODS

All patients from the Netherlands Cancer Registry with de novo metastatic breast cancer between 2005 and 2021 were included. Patients were divided into three age groups: <65, 65-74, and ≥ 75 years. Changes in treatment allocation were graphically depicted over time. Cox proportional hazard models were used to calculate overall survival and Poisson models for relative survival.

RESULTS

Overall, 2,722 patients were included. Between 2005 and 2021, the use of targeted therapy as first-line treatment increased for all age groups (<65 years from 33.8% to 90.6%, p < 0.001; 65-74 years from 29.2% to 86.5%, p = 0.001; ≥75 years from 4.3% to 55.8%, p < 0.001). Use of chemotherapy as first-line treatment also increased for all age groups (<65 years from 73.5% to 89.8%, p < 0.001; 65-74 years from 50.0% to 78.4%, p = 0.01; ≥75 years from 8.7% to 37.2%, p = 0.04). Although not statistically significant, the use of endocrine therapy, both as monotherapy and in combination with targeted therapy in the first line, decreased (<65 years 19.1% to 5.5%, p < 0.001; 65-74 years 25.0% to 13.5%, p = 0.03; ≥75 years 65.2% to 37.2%, p = 0.16). Changes in relative and overall survival were similar and improved in all age groups, but most in the youngest age group (relative excess risk [RER] 0.93, 95% confidence interval [CI] 0.91-0.94 per year, p < 0.001), and least in patients ≥75 (RER 0.96, 95% CI 0.93-0.98 per year, p = 0.001).

DISCUSSION

The use of first-line chemotherapy and targeted therapy increased in all age groups, while the use of endocrine therapy decreased over time. Nevertheless, the uptake of chemotherapy and targeted therapies was substantially slower in the oldest age group. Overall survival and relative survival improved for all age groups, but these improvements were smaller in the older age groups.

Computational Prediction of Binding Affinity for CDK2-ligand Complexes. A Protein Target for Cancer Drug Discovery

BACKGROUND

CDK2 participates in the control of eukaryotic cell-cycle progression. Due to the great interest in CDK2 for drug development and the relative easiness in crystallizing this enzyme, we have over 400 structural studies focused on this protein target. This structural data is the basis for the development of computational models to estimate CDK2-ligand binding affinity.

OBJECTIVE

This work focuses on the recent developments in the application of supervised machine learning modeling to develop scoring functions to predict the binding affinity of CDK2.

METHOD

We employed the structures available at the protein data bank and the ligand information accessed from the BindingDB, Binding MOAD, and PDBbind to evaluate the predictive performance of machine learning techniques combined with physical modeling used to calculate binding affinity. We compared this hybrid methodology with classical scoring functions available in docking programs.

RESULTS

Our comparative analysis of previously published models indicated that a model created using a combination of a mass-spring system and cross-validated Elastic Net to predict the binding affinity of CDK2-inhibitor complexes outperformed classical scoring functions available in AutoDock4 and AutoDock Vina.

CONCLUSION

All studies reviewed here suggest that targeted machine learning models are superior to classical scoring functions to calculate binding affinities. Specifically for CDK2, we see that the combination of physical modeling with supervised machine learning techniques exhibits improved predictive performance to calculate the protein-ligand binding affinity. These results find theoretical support in the application of the concept of scoring function space.

Phase II study of neratinib in older adults with HER2 amplified or HER2/3 mutated metastatic breast cancer

OBJECTIVE

The tolerability and efficacy of targeted therapy in older adults with cancer has not been adequately studied. Neratinib is a novel HER1, HER2, HER4 tyrosine kinase inhibitor that has recently been granted FDA approval for treatment of breast cancer. The major toxicity of neratinib is diarrhea, which affects up to 90% of patients. This phase II trial evaluates the safety and tolerability of neratinib in adults ≥60.

METHODS

Patients aged 60 or older with histologically proven metastatic breast cancer and HER2 amplification (defined by ASCO/CAP guideline) or HER2/HER3 activating mutation were enrolled to receive neratinib at 240 mg daily in 28-day cycles. The association between tolerability, defined as dose reduction and number of completed courses, and log2 Cancer and Aging Research Group (CARG) toxicity risk score was assessed using a Student's t-test and linear regression, respectively. Response rate, progression free survival, and overall survival were also evaluated.

RESULTS

25 patients were enrolled with median age of 66 (range 60-79). Seventy-six percent of patients were white, 16% Asian, and 8% African-American. Seventy-six percent were patients with hormone receptor (HR) positive metastatic breast cancer (MBC) and 24% were patients with HR negative MBC. Median number of prior lines of metastatic therapy were 3 (range 0-11). 20/25 (80%) had worst grade toxicities ≥2. A total of 9/25 (36%) had grade 3 toxicities including 5/20 (20%) diarrhea, 2/20 (8%) vomiting, and 2/20 (8%) abdominal pain. There were no grade 4 or 5 toxicities. A total of 9/25 (36%) had dose reduction, and 2/25 (8%) discontinued therapy due to toxicity. The association between dose reductions and CARG toxicity score reached borderline statistical significance suggesting a trend with participants with higher CARG toxicity risk scores being more likely to require a dose modification (p = 0.054). 1/25 (4%) had a partial response, 11/25 (44%) had stable disease, 12/25 (48%) had progression of disease, and 1/25 (4%) was not assessed. Median progression free survival (PFS) was 2.6 months (95% CI [2.56-5.26]), and median overall survival (OS) was 17.4 months (95% CI [10.3, NA]).

CONCLUSIONS

Neratinib was safe in this population of older adults with HER2 amplified or HER2/3 mutated metastatic breast cancer (BC). Higher CARG toxicity risk score may be associated with greater need for dose adjustments. Future studies are needed to confirm this finding.

Tolerability and toxicity of trastuzumab or trastuzumab + lapatinib in older patients: a sub-analysis of the ALTTO trial (BIG 2-06; NCCTG (Alliance) N063D)

PURPOSE

Little is known about the use of trastuzumab or trastuzumab + lapatinib in older patients. We have performed a sub-analysis of the Adjuvant Lapatinib And/Or Trastuzumab Treatment Optimisation (ALTTO) trial focused on toxicity and treatment completion of both regimens in older patients (≥ 65 years old) METHODS: The ALTTO trial randomised 8381 patients with early HER2-positive BC in 4 arms. Eligible patients for this study were those having received at least one dose of assigned treatment in either the trastuzumab or trastuzumab + lapatinib arms. Treatment completion was evaluated through the rate of temporary treatment interruptions, permanent treatment discontinuations and lapatinib dose reductions. Toxicity was evaluated via a selected subset of adverse events of interest (AEI). Risk factors for both treatment completion outcomes and toxicity were investigated, including comorbidities and use of 5 or more co-medications at randomization.

RESULTS

A total of 430 patients ≥ 65 year were eligible. Median age was 68 (range 65-80). In comparison with the younger cohort, older patients had a significantly higher number of comorbidities at randomization (p < 0.001). Treatment completion outcomes were worse, particularly in the trastuzumab + lapatinib arm. Adverse events of interest were likewise more common in the trastuzumab + lapatinib arm with higher AEI rates (63.4% in younger vs 78.0% in older, p < 0.001). Concomitant chemotherapy was associated with worse treatment completion outcomes among older patients.

CONCLUSION

Trastuzumab plus lapatinib was significantly more toxic among older patients and had worse treatment completion. Trastuzumab was generally well tolerated.

Living with Metastatic Cancer: A Roadmap for Future Research

Living with metastatic cancer, or metavivorship, differs from cancer survivorship and has changed as novel treatments have increased survival time. The purpose of this narrative review is to describe factors that impact challenges in metavivorship within a conceptual framework to guide future research. This review focuses on the specific metavivorship outcomes of progressive disease, survival time, symptoms, distress, financial toxicity, and quality of life. We describe the predisposing, precipitating, and perpetuating (3P) model of metavivorship. Understanding the biological, psychological, and social 3P factors that contribute to the development and maintenance of challenges in metavivorship provides a roadmap for future research. Implications of this model include prevention by targeting predisposing factors, management of precipitating factors after onset of metastatic disease, and treatment of perpetuating factors to reduce symptoms and improve quality of life during the chronic phase of metavivorship. This can be accomplished through biopsychosocial screening efforts, monitoring of patient-reported outcomes, education and communication interventions, interdisciplinary symptom management, advance care planning, and behavioral interventions to cultivate psychological resilience.

Eight immune-related genes predict survival outcomes and immune characteristics in breast cancer

Advancements in immunotherapy have improved our understanding of the immune characteristics of breast cancer. Here, we analyzed gene expression profiles and clinical data obtained from The Cancer Genome Atlas database to identify genes that were differentially expressed between breast tumor tissues and normal breast tissues. Comparisons with the Immunology Database and Analysis Portal (ImmPort) indicated that many of the identified differentially expressed genes were immune-related. Risk scores calculated based on an eight-gene signature constructed from these immune-related genes predicted both overall survival and relapse-free survival outcomes in breast cancer patients. The predictive value of the eight-gene signature was validated in different breast cancer subtypes using external datasets. Associations between risk score and breast cancer immune characteristics were also identified; in vitro experiments using breast cancer cell lines confirmed those associations. Thus, the novel eight-gene signature described here accurately predicts breast cancer survival outcomes as well as immune checkpoint expression and immune cell infiltration processes.

An immunohistochemical study of HER2 expression in primary brain tumors

Background

Primary brain tumors (PBTs) include any tumor in the brain whose prognosis is weak because of their histological characteristics.

Aim

Herein, this study aimed to assess the HER2 tumor marker frequency in PBTs.

Materials and methods

This study was done on the samples of primary brain tumor diagnosis from 2008 to 2015.

Results

Out of 107 patients of brain tumor that had a mean age of 40.4 years (61.7% men), the most common location of the tumor was in the supratentorial region (63.85% cases). The prevalence of high-grade astrocytoma (HGA) and low-grade astrocytoma (LGA) at diagnosis was 43.9% and 37.4%, respectively. With regard to HER2 score, HER2-positive (scores 2 & 3) was in 42.1% of patients. On the other hand, HER2-negative (−) was in 57.9%, 2+ in 33.6%, and 3+ in 8.4% of patients. The patients of LGA had significantly younger ages, lower HER2 positivity, and lower HER2 percent compared with the HGA patients.

Conclusions

The type of brain tumors can impact on HER2 expression that high HER2 expression in HGA may be helpful for therapeutic aims. Further studies are required to support these results with a higher volume of patients in the world.