Simple Science

Cutting edge science explained simply

# Biology # Cell Biology

Unraveling Radiation Therapy Sensitivity: A New Study

Research reveals genetic factors influencing cancer treatment responses.

Ángela Solana-Peña, Monica Pujol-Canadell, Juan-Sebastián López, Miquel Macià, Evelyn Martínez Pérez, Isabel Linares, Milica Stefanovic, Héctor Pérez-Montero, Javier González-Viguera, Marina Arangüena Peñacoba, Montse Ventura, Gisela de Miguel-Garcia, Ferran Guedea, Nadina Erill, Victor González-Rumayor, Gemma Armengol, Joan Francesc Barquinero

― 8 min read


Radiation Therapy Radiation Therapy Sensitivity Revealed treatment approaches. Genetic insights could change cancer
Table of Contents

Radiation therapy is a popular method used to treat various types of cancer. It uses high-energy radiation to kill cancer cells or prevent them from growing. It’s kind of like sending in the big guns to take out the bad guys, except the bad guys are the cancer cells. According to available statistics, over 50% of cancer patients receive radiation therapy at some point in their treatment.

Though effective, radiation therapy doesn’t just target cancer cells. It can also affect healthy tissues, resulting in side effects like skin redness, ulcers, and scarring. This is where things get a bit tricky, as many patients face these unwanted effects.

Technological Advances in Radiation Therapy

Fortunately, technology is coming to the rescue! New techniques in radiation therapy, such as stereotactic radiation therapy and intensity-modulated radiation therapy, have improved how radiation is delivered. These methods help focus the radiation on the tumor and reduce the impact on surrounding healthy tissues. Think of it like aiming a water hose to make sure you’re only hitting the plants and not the sidewalk.

However, despite these advancements, it’s still recognized that 5% to 10% of patients treated with radiation may experience negative reactions in their healthy tissues. So, there’s still a need to figure out which patients might be more sensitive to these side effects.

The Sensitivity Puzzle

One of the theories called the Hsu hypothesis suggests that not everyone reacts to radiation the same way. It’s like how some people can handle spicy food while others reach for the milk as soon as they eat a jalapeño. Some rare genetic conditions make certain individuals more sensitive to radiation. Diseases like ataxia telangiectasia and Fanconi’s anemia can make people more susceptible to radiation damage.

But here’s the kicker: having these rare diseases doesn’t completely explain the 5% to 10% of patients who react poorly. Several other factors can influence how a person responds to radiation therapy. These include the amount of radiation given, the specific area being treated, any additional treatments, and even personal characteristics like age and health conditions.

It’s estimated that only about 20% of the differences in reactions can be explained by these factors. The rest may depend on genetics, which makes the search for Biomarkers—traits we can measure that might predict how someone responds to radiation—very important.

What Are Biomarkers and Why Do They Matter?

Biomarkers are biological indicators that can give clues about how someone might respond to a treatment. In radiation therapy, scientists are particularly interested in biomarkers related to the damage done to DNA and how cells die in response to radiation.

One of the earliest signs of DNA damage after radiation is a process called phosphorylation of a protein known as H2AX. When DNA is damaged, H2AX gets “tagged” in a way that makes it measurable. Researchers are studying this as a potential biomarker for radiation sensitivity.

However, this isn't the only area of focus. Other biomarkers include looking at changes in chromosomes after radiation, evaluating how well cells can stop damaged cells from dividing, and measuring different types of cell death.

For example, some studies have shown that cancer patients with certain types of tissue damage can have more chromosomal abnormalities. Others have found that the ability to stop damaged cells from progressing is linked to how sensitive someone is to radiation.

The Role of Apoptosis

Programmed cell death, known as apoptosis, is another area of interest when it comes to radiation therapy. It’s kind of cells’ way of following the rules and not creating chaos when they get damaged. If cells can’t fix themselves after radiation, they might just decide it’s time to go, which is a good way to prevent further damage.

Researchers are exploring how radiation can lead to this type of cell death, especially in T lymphocytes, which are important immune cells. Some studies have found that patients who experience side effects after radiation tend to have lower levels of apoptosis than those who don’t. This can vary based on several factors, including genetic differences.

Genetic Studies and Their Findings

Radiogenomic studies look at how individual genetic variations might influence reactions to radiation. By studying these variations, researchers hope to find reliable biomarkers that could indicate who might face side effects from radiation therapy.

There are different types of these studies, examining gene expression or looking at specific gene variations called single nucleotide polymorphisms (SNPS). These SNPs can affect various cellular pathways linked to radiation response, such as cell growth, DNA repair, and even how cells cope with stress.

For instance, genes related to apoptosis (like TP53), cell growth (like CDKs), and DNA repair (like XRCC4) have all been studied. While some findings have been promising, they haven’t always been reproduced in larger studies, leaving some uncertainty in the results.

The Study Setup

To investigate these interesting ideas further, researchers gathered a group of 60 women who had been treated for breast cancer. They ranged from 43 to 73 years old and were in complete remission. These participants had received radiation therapy, and most had additional treatments, like chemotherapy or hormone therapy.

Blood samples were collected from the participants during their medical check-ups. The researchers isolated specific immune cells from the blood to study their reactions to radiation. This involved irradiating some samples and measuring factors related to DNA damage and apoptosis.

Radiation Testing and Analysis

In the lab, the researchers irradiated cells with specific amounts of radiation and then observed how these cells reacted over the hours following exposure. They looked at how much damage occurred by measuring levels of γ-H2AX, which indicates DNA damage, and assessed how many cells went through apoptosis, or programmed cell death.

Using flow cytometry—a technique that helps analyze cells—researchers measured how much γ-H2AX was present and how many T lymphocytes were undergoing apoptosis. They checked the levels at various time points after radiation exposure to understand how quickly and significantly the cells responded.

Findings on γ-H2AX and Apoptosis

When analyzing the data, researchers found a big variance in the amounts of γ-H2AX after radiation exposure, indicating differences among individuals. There was a clear trend showing that those with higher levels of γ-H2AX had higher levels of DNA damage, which suggests they might be less efficient at repairing it.

Interestingly, when the researchers looked at apoptosis rates, they found that the levels of early and late apoptosis changed over time. After 48 hours post-radiation, the percentage of cells undergoing apoptosis increased compared to 24 hours, indicating a delay in cellular response.

In terms of correlation, researchers found that patients who had higher levels of γ-H2AX also tended to have lower levels of apoptosis. This suggested that individuals who struggle to clear damaged cells through apoptosis may be those who also have more background and residual DNA damage.

The Role of SNPs in Individual Response

To understand how genetic differences might influence these reactions, researchers examined specific SNPs in the study participants. Through analysis, certain SNPs showed differences between groups of patients depending on their apoptosis rates.

For instance, one important SNP was in the TP53 gene, which helps regulate cell death in the presence of DNA damage. Another was in the FAS gene, linked to the apoptosis pathway initiated by death signals from outside the cell.

While some genetic differences expectedly appeared in the apoptosis analysis, interestingly, researchers found that two SNPs were associated with differing apoptotic responses—TP53 and FAS. In this case, the presence of the right genetic variation seemed to play a role in how effectively individuals underwent apoptosis after radiation exposure.

Conclusion: The Path Ahead

The results of this study revealed that individual responses to radiation therapy can vary significantly. Some patients may experience more damage than others, and understanding the reasons behind this variability is crucial.

The interplay of DNA repair, programmed cell death, and genetic differences is complex, and more studies are needed to fully comprehend how these factors come together. The ultimate goal is to identify reliable biomarkers that can predict which patients are more likely to experience side effects from radiation therapy.

By doing so, the medical field can make strides towards providing more personalized and effective cancer treatment plans, ensuring that each patient is treated as an individual rather than just a number. This can lead to improved outcomes, fewer side effects, and generally happier patients—because who wouldn’t want fewer trips to the doctor and more time on the couch with their favorite show?

Original Source

Title: Correlation between DNA double strand breaks and cell death in peripheral blood lymphocytes from breast cancer patients

Abstract: Radiotherapy is an effective treatment to fight cancer. However, it not only affects cancer cells but also healthy tissues, causing side effects. Different factors can influence the appearance of radiotoxicity, like total dose administered or patient individual characteristics, such as genetic variability. Several biomarkers have been proposed to predict radiotoxicity, especially those based on apoptosis or DNA damage, for example {gamma}-H2AX, which correlates with DNA double strand breaks. Our purpose is to analyze how apoptosis and {gamma}-H2AX correlate to each other and to link these results with selected SNPs associated with apoptosis. Blood samples from 60 breast cancer patients in remission were recruited. After mononucleated cells isolation, samples were irradiated. Then, we assessed induction and kinetics of disappearance of {gamma}-H2AX at different times after 2-Gy irradiation and apoptosis induced 24 and 48 h after 8-Gy irradiation. A negative correlation was observed between basal and residual {gamma}-H2AX and apoptosis at 48 h post-irradiation. This result supports previous studies with cancer patients showing a negative correlation between these two biomarkers. Considering the high variability of radio-induced apoptosis, we performed a genotyping study. Two SNPs located at TP53 and FAS genes were associated with apoptosis. Overall, our results indicate that individuals with less efficiency in removing damaged cells, probably due to genetic polymorphisms, presented more basal and residual levels of DNA damage.

Authors: Ángela Solana-Peña, Monica Pujol-Canadell, Juan-Sebastián López, Miquel Macià, Evelyn Martínez Pérez, Isabel Linares, Milica Stefanovic, Héctor Pérez-Montero, Javier González-Viguera, Marina Arangüena Peñacoba, Montse Ventura, Gisela de Miguel-Garcia, Ferran Guedea, Nadina Erill, Victor González-Rumayor, Gemma Armengol, Joan Francesc Barquinero

Last Update: 2024-12-24 00:00:00

Language: English

Source URL: https://www.biorxiv.org/content/10.1101/2024.12.23.630130

Source PDF: https://www.biorxiv.org/content/10.1101/2024.12.23.630130.full.pdf

Licence: https://creativecommons.org/licenses/by/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.

Similar Articles