On the interplay between dosiomics and genomics in radiation-induced lymphopenia of lung cancer patients (77 views)
Radiother Oncol (ISSN: 0167-8140linking, 1879-0887), 2022 Feb; 167: 219-225.
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Paper type: Journal Article, Randomized Controlled Trial, Research Support, N. I. H. , Extramural,
Impact factor: 6.28, 5-year impact factor: 4.502
Url: Not available.
Keywords: Carcinoma, Non-Small-Cell Lung Drug Therapy Genetics Radiotherapy, Genomics, Humans, Lung Neoplasms Drug Therapy Genetics Radiotherapy, Lymphocytes, Lymphopenia Genetics, X-Ray Repair Cross Complementing Protein 1 Genetics, Nsclc, Radiation-Induced Lymphopenia, Single Nucleotide Polymorphisms, Voxelbased Analysis,
Affiliations:
*** IBB - CNR ***
Institute of Biostructures and Bioimaging, National Research Council, Napoli, Italy.
The University of Texas MD Anderson Cancer Center, Department of Radiation Oncology, Houston, USA.
Institute of Nanotechnology, National Research Council, Lecce, Italy.
References:
Not available.
Radiother Oncol (ISSN: 0167-8140linking, 1879-0887), 2022 Feb; 167: 219-225.
Export to BibTeX Export to EndNote
Paper type: Journal Article, Randomized Controlled Trial, Research Support, N. I. H. , Extramural,
Impact factor: 6.28, 5-year impact factor: 4.502
Url: Not available.
Keywords: Carcinoma, Non-Small-Cell Lung Drug Therapy Genetics Radiotherapy, Genomics, Humans, Lung Neoplasms Drug Therapy Genetics Radiotherapy, Lymphocytes, Lymphopenia Genetics, X-Ray Repair Cross Complementing Protein 1 Genetics, Nsclc, Radiation-Induced Lymphopenia, Single Nucleotide Polymorphisms, Voxelbased Analysis,
Affiliations:
*** IBB - CNR ***
Institute of Biostructures and Bioimaging, National Research Council, Napoli, Italy.
The University of Texas MD Anderson Cancer Center, Department of Radiation Oncology, Houston, USA.
Institute of Nanotechnology, National Research Council, Lecce, Italy.
References:
Not available.
On the interplay between dosiomics and genomics in radiation-induced lymphopenia of lung cancer patients
PURPOSE: To investigate the interplay between spatial dose patterns and single nucleotide polymorphisms in the development of radiation-induced lymphopenia (RIL) in 186 non-small-cell lung cancer (NSCLC) patients undergoing chemo-radiotherapy (RT). METHODS: This study included NSCLC patients enrolled in a randomized trial of protons vs. photons with available absolute lymphocyte counts at baseline and during RT and XRCC1-rs25487 genotyping data. After masking the GTV, planning CT scans and dose maps were spatially normalized to a common anatomical reference. A Voxel-Based Analysis (VBA) was performed to assess voxel-wise relationships of dosiomic and genomic explanatory variables with RIL. The underlying generalized linear model was designed to include both the explanatory variables (3D dose distributions and the XRCC1-rs25487 genotypes) and possible nuisance variables significantly correlated with RIL. The maps of model coefficients as well as their significance maps were generated. RESULTS: Measures for RIL definition during RT were characterized, including kinetic parameters for lymphocyte loss. The VBA generated three-dimensional maps of correlation between RIL and dose in lymphoid organs as well as organs with abundant blood pools. The identified voxel-wise relationships account for XRCC1-rs25487 polymorphism and demonstrate the variant AA genotype being detrimental to lymphocyte depletion (p = 0.03). CONCLUSION: The performed analyses blindly highlighted relevant anatomical regions that contributed most to lymphocyte depletion during RT and the interplay of the variant XRCC1-rs25487 AA genotype with the dose delivered to the primary lymphoid organs. These findings may help to guide the development of dosimetric RIL mitigation strategies for the application of effective individualized RT.
PURPOSE: To investigate the interplay between spatial dose patterns and single nucleotide polymorphisms in the development of radiation-induced lymphopenia (RIL) in 186 non-small-cell lung cancer (NSCLC) patients undergoing chemo-radiotherapy (RT). METHODS: This study included NSCLC patients enrolled in a randomized trial of protons vs. photons with available absolute lymphocyte counts at baseline and during RT and XRCC1-rs25487 genotyping data. After masking the GTV, planning CT scans and dose maps were spatially normalized to a common anatomical reference. A Voxel-Based Analysis (VBA) was performed to assess voxel-wise relationships of dosiomic and genomic explanatory variables with RIL. The underlying generalized linear model was designed to include both the explanatory variables (3D dose distributions and the XRCC1-rs25487 genotypes) and possible nuisance variables significantly correlated with RIL. The maps of model coefficients as well as their significance maps were generated. RESULTS: Measures for RIL definition during RT were characterized, including kinetic parameters for lymphocyte loss. The VBA generated three-dimensional maps of correlation between RIL and dose in lymphoid organs as well as organs with abundant blood pools. The identified voxel-wise relationships account for XRCC1-rs25487 polymorphism and demonstrate the variant AA genotype being detrimental to lymphocyte depletion (p = 0.03). CONCLUSION: The performed analyses blindly highlighted relevant anatomical regions that contributed most to lymphocyte depletion during RT and the interplay of the variant XRCC1-rs25487 AA genotype with the dose delivered to the primary lymphoid organs. These findings may help to guide the development of dosimetric RIL mitigation strategies for the application of effective individualized RT.
On the interplay between dosiomics and genomics in radiation-induced lymphopenia of lung cancer patients
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On the interplay between dosiomics and genomics in radiation-induced lymphopenia of lung cancer patients
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13 Records (13 excluding Abstracts).
Total impact factor: 59.477 (59.477 excluding Abstracts).
Total 5 year impact factor: 53.957 (53.957 excluding Abstracts).
Total impact factor: 59.477 (59.477 excluding Abstracts).
Total 5 year impact factor: 53.957 (53.957 excluding Abstracts).
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