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The Controversy of Preimplantation Genetic Testing for Aneuploidy

Debate surrounds the effectiveness of PGT-A in embryo selection.

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Preimplantation Genetic Testing for Aneuploidy (PGT-A) is a technique used in reproductive medicine to test embryos for genetic issues before implantation. This area has raised a lot of debate among experts. Some argue it is beneficial, while others believe it does not really help. Research shows mixed results regarding its effectiveness, especially in younger women. Some studies indicate that embryos identified as having genetic abnormalities rarely lead to successful pregnancies.

The Debate Around PGT-A

There are two main perspectives regarding PGT-A. On one hand, some studies suggest that the technique does not improve overall pregnancy success rates. On the other hand, other evidence indicates that PGT-A does increase the chances of a successful pregnancy when a single embryo is transferred. Yet, the extent of this improvement is still up for discussion.

One of the notable concerns is whether the process of taking a small sample from the embryo affects its development. Some research suggests that this sampling does not harm the embryo, but there is worry that poor practices in some clinics could lead to negative outcomes. Additionally, the presence of mixed cell types, known as Mosaicism, complicates the interpretation of test results. In mosaic embryos, some cells have the correct number of chromosomes while others do not, which makes understanding the overall embryo's status difficult.

How PGT-A Works

During PGT-A, a small number of cells (around five to ten) are taken from an embryo, typically at a stage called the blastocyst, where it consists of 150 to 200 cells. The cells are then tested for the number of chromosomes they contain. Generally, testing involves using advanced techniques to analyze these samples, which allows doctors to get a picture of which embryos are likely to be healthy.

However, sampling may not always provide an accurate representation of the whole embryo because the cells can be grouped in clusters. This means that if a biopsy shows a certain number of abnormal cells, it doesn’t guarantee that the rest of the embryo has the same proportion of healthy to unhealthy cells.

The Challenges with Mosaicism

Mosaicism is when some cells in an embryo have the right number of chromosomes while others do not. The distribution of these cells is often uneven. If a biopsy happens to sample a region of the embryo that has a lot of healthy cells, it might incorrectly suggest that the entire embryo is healthy. Conversely, if the sampled area has many abnormal cells, it may indicate that the embryo is unhealthy when it could be viable.

The challenge lies in the fact that embryos can vary widely in how many abnormal cells they contain and how those cells are distributed. When a single sample is taken, there is a risk that the sample does not accurately reflect the embryo's overall condition.

Understanding the Biopsy Process

The biopsy process involves carefully selecting cells from the embryo, which can be a tricky task. If the sampled cells mainly come from areas with normal cells, the test result might show that the embryo is healthy even if it may have abnormal cells elsewhere. This inconsistency raises questions about how useful PGT-A truly is.

In order to get a clearer understanding, various models have been developed to explore how biopsy results may differ based on the specific characteristics of embryos. A better understanding of these characteristics can help in assessing the accuracy of a single biopsy.

The Importance of Sample Size

Larger biopsy samples have been thought to provide more reliable results. However, research indicates that simply increasing the sample size may not always lead to better accuracy, especially in embryos where cells are clustered. In some cases, taking one larger biopsy does not prove significantly better than two smaller Biopsies when it comes to gathering useful information.

Accuracy is especially crucial when it comes to classifying embryos for transfer based on their aneuploidy levels. Different classifications are used, such as determining whether an embryo is euploid (normal), low-level mosaic (some abnormal cells), high-level mosaic, or aneuploid (many abnormal cells).

Analyzing Results

Research shows varied outcomes when evaluating the effectiveness of transferring embryos. Those with 100% euploid results tend to have the highest rates of successful pregnancies. In contrast, 100% aneuploid embryos generally show very low pregnancy success.

When mosaic embryos are transferred, success rates can vary widely based on the proportion of normal cells. The challenge arises from the fact that a single biopsy may not provide a complete picture of the embryo's genetic status.

Ranking Embryos

In real-world scenarios, clinics often deal with multiple embryos at once, and the goal is to select the best options for transfer. When ranking embryos, those with fewer abnormal cells typically stand a better chance of leading to successful pregnancies.

Despite the limitations of PGT-A, the technique can still offer some helpful information. For example, even if a mosaic biopsy result is not completely reliable for one specific embryo, it can still assist in comparing multiple embryos to decide which to use for implantation.

Clinical Implications

The viability of PGT-A in clinical settings is a hot topic. Some studies suggest it can improve transfer outcomes, particularly for women in higher risk categories. Yet, the absence of conclusive data from high-quality randomized controlled trials leaves room for skepticism.

Data from various studies points towards a need for thorough evaluation when using PGT-A in clinical practice. This involves weighing the benefits against the risks of discarding viable embryos based on inaccurate results.

Future Directions

Looking ahead, it is clear that more research is needed to refine methods for analyzing embryos. The understanding of mosaicism is still developing, and further exploration of how the distribution of abnormal cells influences pregnancy outcomes is necessary.

Moreover, enhancing the ability to classify embryos effectively based on biopsy results will be essential in ensuring that clinicians make better decisions regarding embryo selection.

Conclusion

PGT-A remains a valuable yet contentious tool in reproductive medicine. The complexity of embryo biology, particularly regarding mosaicism, adds layers of difficulty in interpretation. While the technique can offer insights when comparing multiple embryos, caution should be exercised when relying on biopsy results for individual embryos.

In navigating the challenges of embryo selection, it's important to consider not just the test results but also other factors, such as the overall health of the embryos. The ongoing debate surrounding PGT-A highlights the need for continued research and improved methodologies to support better patient outcomes in assisted reproduction.

Original Source

Title: Explaining the counter-intuitive effectiveness of trophectoderm biopsy for PGT-A using computational modelling

Abstract: Preimplantation genetic testing for aneuploidy (PGT-A) is one of the most controversial topics in reproductive medicine, with disagreements over the apparently contradictory results of randomised controlled trials, non-selection trials and outcome data analyses. Data from live birth outcomes largely suggest that fully euploid biopsies are associated with positive live birth rates, while fully aneuploid biopsies are not. However, the possible confounding effects of chromosomal mosaicism (when either the whole embryo, the biopsy result (or both) contain an admixture of euploid and aneuploid cells) is frequently cited as a reason why PGT-A should not be performed. Previous computer models have indicated that a mosaic result is a poor indicator of the level of mosaicism of the rest of the embryo, and it is thus unwise to use mosaic PGT-A results when selecting embryos for transfer. Here we developed a computational model, tessera, to create virtual embryos for biopsy, allowing us to vary the number of cells in the simulated embryo and biopsy, the proportion of aneuploid cells and the degree of juxtaposition of those cells. Analysis of approximately 1 million virtual embryos showed that "100% euploid" and "100% aneuploid" biopsy results are relatively accurate predictors of the remainder of the embryo, while mosaic biopsy results are poor predictors of the proportion of euploid and aneuploid cells in the rest of the embryo. Within mosaic embryos, clumping of aneuploid cells further reduces the accuracy of biopsies in assaying the true aneuploidy level of any given embryo. Nonetheless - and somewhat counterintuitively - biopsy results can still be used with some confidence to rank embryos within a cohort. Our simulations help resolve the apparent paradox surrounding PGT-A: the biopsy result is poorly predictive of the absolute level of mosaicism of a single embryo, but may be applicable nonetheless in making clinical decisions on which embryos to transfer.

Authors: Benjamin Matthew Skinner, M. Viotti, International Registry of Mosaic Embryo Transfers (IRMET), D. K. Griffin, P. J. I. Ellis

Last Update: 2023-12-13 00:00:00

Language: English

Source URL: https://www.medrxiv.org/content/10.1101/2023.12.12.23299850

Source PDF: https://www.medrxiv.org/content/10.1101/2023.12.12.23299850.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 medrxiv for use of its open access interoperability.

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