There seem to be many fewer studies for Minimal Residual Disease monitoring (MRD) in lung cancer, compared to colorectal cancer. What are the best studies of MRD in lung cancer (circulating tumor DNA) and if possible discuss why this field lags behind MRD studies in colorectal cancer.
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SCITE.AI
Minimal Residual Disease (MRD) monitoring in lung cancer,
particularly through the analysis of circulating tumor DNA (ctDNA), has
garnered attention, yet it remains significantly less explored compared to
colorectal cancer. This disparity can be attributed to several factors,
including the complexity of lung cancer biology, the historical focus on
colorectal cancer in MRD studies, and the challenges associated with ctDNA
detection in lung cancer.
Recent studies have begun to elucidate the potential of
ctDNA in monitoring MRD in lung cancer. For instance, demonstrated that
longitudinally undetectable MRD in localized non-small cell lung cancer (NSCLC)
patients correlates with a high likelihood of remaining disease-free,
suggesting a potential for identifying a "cured" population within
this cohort (Zhang et al., 2022). Furthermore, highlighted the efficacy of
ctDNA profiling in early detection of MRD, emphasizing its role in guiding treatment
decisions (Chaudhuri et al., 2017). These findings indicate that while the
prognostic value of ctDNA in lung cancer is promising, the body of research is
still developing.
In contrast, colorectal cancer has seen a more robust
integration of ctDNA in MRD monitoring. Studies such as those by have
established ctDNA as a reliable biomarker for recurrence in resected colorectal
cancer, demonstrating its superiority over traditional imaging methods in
certain contexts (Fakih et al., 2022). The comparative abundance of studies in
colorectal cancer can be attributed to its well-defined treatment pathways and
the established role of biomarkers like carcinoembryonic antigen (CEA) in clinical
practice (Fakih et al., 2022). This has facilitated a more extensive
exploration of ctDNA applications, leading to a wealth of data supporting its
use in MRD monitoring.
The lag in lung cancer research can also be linked to the
inherent biological complexities of lung tumors. noted that most studies have
focused on single qualitative markers in ctDNA, such as specific mutations
(e.g., EGFR and KRAS), rather than adopting a comprehensive multi-marker
approach that has proven effective in colorectal cancer (Szpechcinski et al.,
2015). This limitation in study design may hinder the broader applicability of
ctDNA as a reliable MRD marker in lung cancer.
Moreover, the technical challenges associated with ctDNA
detection in lung cancer cannot be overlooked. The sensitivity of ctDNA assays
can be affected by the tumor's heterogeneity and the low levels of ctDNA
present in the bloodstream, particularly in early-stage disease (Yan & Liu,
2022). This contrasts with colorectal cancer, where ctDNA levels are often
higher and more consistent, facilitating easier detection and monitoring.
In summary, while there are promising studies indicating the
potential of ctDNA for MRD monitoring in lung cancer, the field lags behind
colorectal cancer due to a combination of historical focus, biological
complexity, and technical challenges in ctDNA detection. Continued research and
the development of more sensitive and comprehensive ctDNA assays may bridge
this gap in the future.
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Could you focus on 2023 and 2024 studies of circulating tumor dna to detect minimal residual disease (MRD) or recurrence, in lung cancer.
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In recent years, the application of circulating tumor DNA
(ctDNA) for monitoring minimal residual disease (MRD) and recurrence in lung
cancer has gained traction, with several notable studies emerging in 2023 and
2024. These studies highlight the potential of ctDNA as a non-invasive
biomarker for assessing disease status post-treatment and guiding clinical
decisions.
One significant study by Kang et al. (2023) introduced a
dynamic methylation-based analysis of cell-free DNA for postoperative
monitoring in lung cancer patients. The study found that patients with low MRD
scores were unlikely to experience relapse within four months, suggesting that
such a methylation-based approach could personalize postoperative management
and reduce unnecessary imaging (Kang et al., 2023). This finding underscores
the utility of ctDNA in providing timely insights into patient status, potentially
leading to more tailored treatment strategies.
Another important contribution is from (Franzi, 2023), who
conducted a meta-analysis on the role of liquid biopsy in non-small cell lung
cancer (NSCLC). The authors noted that dynamic changes in ctDNA levels
correlated with therapeutic responses, indicating that ctDNA could be
effectively used for early detection of MRD and recurrence in early-stage lung
cancer (Franzi, 2023). This study reinforces the idea that ctDNA monitoring can
enhance the management of lung cancer by identifying patients at risk for relapse.
O'Sullivan et al. (2023) further explored the challenges and
future directions of MRD monitoring in radically treated NSCLC. They emphasized
that the variant allele frequency (VAF) of ctDNA is prognostic, particularly in
early-stage patients. Those with detectable ctDNA prior to resection exhibited
a higher risk of recurrence compared to those without detectable ctDNA,
highlighting the potential of ctDNA as a predictive tool in clinical practice
(O’Sullivan et al., 2023). This study illustrates the critical role of ctDNA in
stratifying patients based on their risk of relapse, which could inform
follow-up and treatment decisions.
Desai (2024) also contributed to this field by discussing
the integration of ctDNA into clinical practice for managing EGFR-mutant NSCLC.
The study highlighted ctDNA's role in risk stratification and treatment
decision-making, particularly for patients undergoing curative-intent treatment
(Desai, 2024). This aligns with the growing recognition of ctDNA as a valuable
tool for monitoring MRD and guiding therapeutic interventions.
Moreover, Morgensztern (2024) emphasized the expanding role
of ctDNA in resectable NSCLC, suggesting that its detection could facilitate
personalized treatment approaches. By identifying patients at high risk for
relapse, clinicians may opt for more aggressive therapies, while those at low
risk could avoid overtreatment (Morgensztern, 2024). This personalized approach
is crucial in improving outcomes for lung cancer patients.
In summary, the studies from 2023 and 2024 collectively
demonstrate the promising role of ctDNA in detecting MRD and predicting
recurrence in lung cancer. The ability to provide real-time insights into
disease status and risk stratification positions ctDNA as a vital component of
modern oncological practice, particularly in the management of NSCLC.
References:
Chaudhuri, A., Chabon, J., Lovejoy, A., Newman, A., Stehr,
H., Azad, T., … & Diehn, M. (2017). Early detection of molecular residual
disease in localized lung cancer by circulating tumor dna profiling. Cancer
Discovery, 7(12), 1394-1403. https://doi.org/10.1158/2159-8290.cd-17-0716
Desai, A. (2024). Ctdna for the evaluation and management of
egfr-mutant non-small cell lung cancer. Cancers, 16(5), 940.
https://doi.org/10.3390/cancers16050940
Fakih, M., Sandhu, J., Wang, C., Kim, J., Chen, Y., Lai, L.,
… & Kaiser, A. (2022). Evaluation of comparative surveillance strategies of
circulating tumor dna, imaging, and carcinoembryonic antigen levels in patients
with resected colorectal cancer. Jama Network Open, 5(3), e221093.
https://doi.org/10.1001/jamanetworkopen.2022.1093
Franzi, S. (2023). Liquid biopsy in non-small cell lung
cancer: a meta-analysis of state-of-the-art and future perspectives. Frontiers
in Genetics, 14. https://doi.org/10.3389/fgene.2023.1254839
Kang, G., Lizaso, A., Beck, S., Lyskjær, I., Chervova, O.,
Li, B., … & Wang, J. (2023). Individualized dynamic methylation-based
analysis of cell-free dna in postoperative monitoring of lung cancer. BMC
Medicine, 21(1). https://doi.org/10.1186/s12916-023-02954-z
Morgensztern, D. (2024). The expanding role of circulating
tumor dna in resectable non–small cell lung cancer. Cancer, 130(10), 1730-1732.
https://doi.org/10.1002/cncr.35268
O’Sullivan, H., Feber, A., & Popat, S. (2023). Minimal
residual disease monitoring in radically treated non-small cell lung cancer:
challenges and future directions. Oncotargets and Therapy, Volume 16, 249-259.
https://doi.org/10.2147/ott.s322242
Szpechcinski, A., Chorostowska‐Wynimko, J., Struniawski, R.,
Kupis, W., Rudziński, P., Langfort, R., … & Orłowski, T. (2015). Cell-free dna
levels in plasma of patients with non-small-cell lung cancer and inflammatory
lung disease. British Journal of Cancer, 113(3), 476-483.
https://doi.org/10.1038/bjc.2015.225
Yan, X. and Liu, C. (2022). Clinical application and
prospect of mrd evaluation in lung cancer based on ctdna level: a review.
Tumori Journal, 109(4), 356-362. https://doi.org/10.1177/03008916221101927
Zhang, J., Liu, S., Gao, W., Liu, S., Yan, H., Ji, L., …
& Wu, Y. (2022). Longitudinal undetectable molecular residual disease
defines potentially cured population in localized non–small cell lung cancer.
Cancer Discovery, 12(7), 1690-1701. https://doi.org/10.1158/2159-8290.cd-21-1486
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