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New Approaches to HER2 Positive Breast Cancer Treatment

Research explores drug combinations to improve treatment for HER2 positive breast cancer.

― 6 min read


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Table of Contents

Breast cancer can vary a lot from one person to another, and one type called HER2 positive is known for having too much of a certain protein called the HER2 receptor. About 20% of breast cancers are HER2 positive. Doctors have been treating this type of cancer for years, with trastuzumab being a common drug approved for it. While trastuzumab has helped many patients, many eventually find that it stops working after about a year. This situation is a challenge, so researchers have been looking into new treatment options.

New Treatments for HER2 Positive Breast Cancer

Since the introduction of trastuzumab, various new drugs have been developed to fight HER2 positive breast cancer. Two notable examples are Lapatinib and Ipatasertib. Lapatinib works by blocking the HER2 receptor and another one called EGFR, while Ipatasertib targets a group of proteins known as AKT kinases. These drugs are trying to tackle the problems that arise when the cancer becomes resistant to treatments.

In about half of HER2 positive cancers, a specific pathway called the PI3K/AKT pathway is altered. When this pathway goes into overdrive, it can make the cancer resistant to drugs. To combat this issue, medical professionals have been combining treatments, using drugs like Lapatinib along with Ipatasertib to try to break through the resistance to therapy.

Research on Drug Combinations

There has been some success in combining Lapatinib with Ipatasertib, especially in fighting resistance resulting from certain mutations. However, not much research has been done on this combination, especially when using advanced technologies like Mass Spectrometry to look at how these drugs change the cells.

Currently, numerous clinical trials are going on involving the use of Ipatasertib combined with chemotherapy or immunotherapy for different kinds of cancer. A recent example is a drug named Capivasertib, which was approved in 2023 for treating advanced hormone receptor-positive and HER2 negative breast cancers. This growing interest in targeting the AKT/PI3K pathways reflects a new hope in cancer treatment.

Complexity of Cancer Cell Signaling

The signaling systems in cancer cells are complicated. The MAPK and PI3K/AKT Pathways often interact with one another, creating a network of signals that influence how cells behave. Understanding how these signals work together can help researchers create better treatments for cancer, especially those that can overcome drug resistance.

The focus of some studies is on how to stop the signals that promote cancer growth and survival. This can lead to new therapies that can overcome the challenges presented by drug resistance.

Study Goals

This study looked at how Lapatinib and Ipatasertib affect HER2 positive breast cancer cells. By using mass spectrometry, researchers aimed to get a detailed view of how these drugs change the proteins in the cells. The goal was to gather information that could offer insights into new treatments and how to combine therapies effectively.

Study Methods

Cell Culture

The study used a specific type of breast cancer cell line known as SKBR3, which overexpresses the HER2 receptor. The researchers grew these cells in a controlled environment under specific conditions to prepare them for the experiments. The cells were then treated with either Lapatinib, Ipatasertib, or a combination of both drugs.

Drug Treatment

Before treatment, the cells were preconditioned and stimulated to mimic conditions found in the human body. After treatment, the cells were collected and prepared for analysis. This included separating the cells into different parts (cytoplasm and nucleus) to see how the drugs affected each area.

Mass Spectrometry Analysis

Researchers used mass spectrometry to identify and quantify the proteins affected by the drug treatment. This technology allows scientists to analyze proteins with high precision and sensitivity.

Data Analysis

The mass spectrometry results were processed to create a comprehensive view of how the drugs affected the proteins in the cancer cells. This included looking at changes in protein abundance and understanding the biological processes that were altered.

Results from the Study

Protein Changes

After treatment with both drugs, there were notable changes in protein levels within the HER2 positive breast cancer cells. Many proteins involved in critical processes like the cell cycle, growth, and metabolism were affected. The results indicated that Lapatinib and Ipatasertib could work together to create significant changes in how the cancer cells function.

Impact on Cell Cycle

The drugs significantly impacted the cell cycle, particularly preventing cancer cells from dividing and growing. This is an important finding because stopping cancer cells from continuing to grow is a major goal of cancer treatment.

Effects on Signaling Pathways

The combination of the two drugs was found to influence multiple signaling pathways beyond the targeted ones. For example, the drugs led to a decrease in processes linked to protein folding, adhesion, and cell migration. This is important because it suggests that the drugs are not only targeting the HER2 and AKT pathways but also affecting other cancer-related processes.

Insights into Resistance Mechanisms

The study revealed that the combination treatment worked to downregulate certain proteins associated with drug resistance and cancer growth. This insight can help researchers understand how cancer cells avoid the effects of drugs and guide the development of therapies that can overcome these challenges.

Analysis of Biological Processes

The study used various methods to analyze how the drugs impacted biological processes at a deeper level. The results highlighted several enriched biological processes affected by the treatment, indicating a disruption in the cancer cells' normal functions.

Conclusion

This research provides valuable information about how the combination of Lapatinib and Ipatasertib affects HER2 positive breast cancer cells. By using advanced techniques like mass spectrometry, researchers gained insights into the proteins involved and the biological processes influenced by the drugs.

The findings highlight the potential for new treatment strategies that could better overcome drug resistance in breast cancer. The study sets the stage for further exploration of combinations of treatments to improve outcomes for patients with HER2 positive breast cancer.

Overall, the insights gained from this study can contribute to the ongoing battle against breast cancer and help shape future research in this field.

Original Source

Title: Proteomic Assessment of SKBR3/HER2+ Breast Cancer Cellular Response to Lapatinib and Investigational Ipatasertib Kinase Inhibitors

Abstract: Modern cancer treatment approaches aim at achieving cancer remission by using targeted and personalized therapies, as well as harnessing the power of the immune system to recognize and eliminate the cancer cells. To overcome a relatively short-lived response due to the development of resistance to the administered drugs, combination therapies have been pursued, as well. To expand the outlook of combination therapies, the objective of this study was to use high-throughput data generation technologies such as mass spectrometry and proteomics to investigate the response of HER2+ breast cancer cells to a mixture of two kinase inhibitors that has not been adopted yet as a standard treatment regime. The broader landscape of biological processes that are affected by inhibiting two major pathways that sustain the growth and survival of cancer cells, i.e., EGFR and PI3K/AKT, was investigated by treating SKBR3/HER2+ breast cancer cells with Lapatinib or a mixture of Lapatinib/Ipatasertib small molecule drugs. Changes in protein expression and/or activity in response to the drug treatments were assessed by using two complementary quantitative proteomic approaches based on peak area and peptide spectrum match measurements. Over 900 proteins matched by three unique peptide sequences (FDR

Authors: Iulia M Lazar, A. Karcini, N. R. Mercier

Last Update: 2024-04-03 00:00:00

Language: English

Source URL: https://www.biorxiv.org/content/10.1101/2024.04.02.587656

Source PDF: https://www.biorxiv.org/content/10.1101/2024.04.02.587656.full.pdf

Licence: https://creativecommons.org/licenses/by-nc/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to biorxiv for use of its open access interoperability.

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