A quantitative evaluation method utilizing the homology concept to assess the state of chromatin within the nucleus of lung cancer

Abstract Homology is a mathematical tool to quantify "the contact degree", which can be expressed in terms of Betti numbers. The Betti numbers used in this study consisted of two numbers, b0 (a zero-dimensional Betti number) and b1 (a one-dimensional Betti number). We developed a chromatin...

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Main Authors: Yuhki Yokoyama, Kazuki Kanayama, Kento Iida, Masako Onishi, Tadasuke Nagatomo, Mayu Ito, Sachiko Nagumo, Kunimitsu Kawahara, Eiichi Morii, Kazuaki Nakane, Hirofumi Yamamoto
Format: Article
Language:English
Published: Nature Portfolio 2023-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-46213-w
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author Yuhki Yokoyama
Kazuki Kanayama
Kento Iida
Masako Onishi
Tadasuke Nagatomo
Mayu Ito
Sachiko Nagumo
Kunimitsu Kawahara
Eiichi Morii
Kazuaki Nakane
Hirofumi Yamamoto
author_facet Yuhki Yokoyama
Kazuki Kanayama
Kento Iida
Masako Onishi
Tadasuke Nagatomo
Mayu Ito
Sachiko Nagumo
Kunimitsu Kawahara
Eiichi Morii
Kazuaki Nakane
Hirofumi Yamamoto
author_sort Yuhki Yokoyama
collection DOAJ
description Abstract Homology is a mathematical tool to quantify "the contact degree", which can be expressed in terms of Betti numbers. The Betti numbers used in this study consisted of two numbers, b0 (a zero-dimensional Betti number) and b1 (a one-dimensional Betti number). We developed a chromatin homology profile (CHP) method to quantify the chromatin contact degree based on this mathematical tool. Using the CHP method we analyzed the number of holes (surrounded areas = b1 value) formed by the chromatin contact and calculated the maximum value of b1 (b1MAX), the value of b1 exceeding 5 for the first time or Homology Value (HV), and the chromatin density (b1MAX/ns2). We attempted to detect differences in chromatin patterns and differentiate histological types of lung cancer from respiratory cytology using these three features. The HV of cancer cells was significantly lower than that of non-cancerous cells. Furthermore, b1MAX and b1MAX/ns2 showed significant differences between small cell and non-small cell carcinomas and between adenocarcinomas and squamous cell carcinomas, respectively. We quantitatively analyzed the chromatin patterns using homology and showed that the CHP method may be a useful tool for differentiating histological types of lung cancer in respiratory cytology.
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spelling doaj.art-445c8984003d4240aa4761542462fecc2023-11-12T12:16:05ZengNature PortfolioScientific Reports2045-23222023-11-0113111010.1038/s41598-023-46213-wA quantitative evaluation method utilizing the homology concept to assess the state of chromatin within the nucleus of lung cancerYuhki Yokoyama0Kazuki Kanayama1Kento Iida2Masako Onishi3Tadasuke Nagatomo4Mayu Ito5Sachiko Nagumo6Kunimitsu Kawahara7Eiichi Morii8Kazuaki Nakane9Hirofumi Yamamoto10Department of Molecular Pathology, Division of Health Sciences, Graduate School of Medicine, Osaka UniversityDepartment of Clinical Nutrition, Suzuka University of Medical ScienceDepartment of Pathology, Osaka Habikino Medical CenterDepartment of Pathology, Osaka Habikino Medical CenterDepartment of Diagnostic Pathology, Osaka University HospitalDepartment of Molecular Pathology, Division of Health Sciences, Graduate School of Medicine, Osaka UniversityDepartment of Molecular Pathology, Division of Health Sciences, Graduate School of Medicine, Osaka UniversityDepartment of Molecular Pathology, Division of Health Sciences, Graduate School of Medicine, Osaka UniversityDepartment of Diagnostic Pathology, Osaka University HospitalDepartment of Molecular Pathology, Division of Health Sciences, Graduate School of Medicine, Osaka UniversityDepartment of Molecular Pathology, Division of Health Sciences, Graduate School of Medicine, Osaka UniversityAbstract Homology is a mathematical tool to quantify "the contact degree", which can be expressed in terms of Betti numbers. The Betti numbers used in this study consisted of two numbers, b0 (a zero-dimensional Betti number) and b1 (a one-dimensional Betti number). We developed a chromatin homology profile (CHP) method to quantify the chromatin contact degree based on this mathematical tool. Using the CHP method we analyzed the number of holes (surrounded areas = b1 value) formed by the chromatin contact and calculated the maximum value of b1 (b1MAX), the value of b1 exceeding 5 for the first time or Homology Value (HV), and the chromatin density (b1MAX/ns2). We attempted to detect differences in chromatin patterns and differentiate histological types of lung cancer from respiratory cytology using these three features. The HV of cancer cells was significantly lower than that of non-cancerous cells. Furthermore, b1MAX and b1MAX/ns2 showed significant differences between small cell and non-small cell carcinomas and between adenocarcinomas and squamous cell carcinomas, respectively. We quantitatively analyzed the chromatin patterns using homology and showed that the CHP method may be a useful tool for differentiating histological types of lung cancer in respiratory cytology.https://doi.org/10.1038/s41598-023-46213-w
spellingShingle Yuhki Yokoyama
Kazuki Kanayama
Kento Iida
Masako Onishi
Tadasuke Nagatomo
Mayu Ito
Sachiko Nagumo
Kunimitsu Kawahara
Eiichi Morii
Kazuaki Nakane
Hirofumi Yamamoto
A quantitative evaluation method utilizing the homology concept to assess the state of chromatin within the nucleus of lung cancer
Scientific Reports
title A quantitative evaluation method utilizing the homology concept to assess the state of chromatin within the nucleus of lung cancer
title_full A quantitative evaluation method utilizing the homology concept to assess the state of chromatin within the nucleus of lung cancer
title_fullStr A quantitative evaluation method utilizing the homology concept to assess the state of chromatin within the nucleus of lung cancer
title_full_unstemmed A quantitative evaluation method utilizing the homology concept to assess the state of chromatin within the nucleus of lung cancer
title_short A quantitative evaluation method utilizing the homology concept to assess the state of chromatin within the nucleus of lung cancer
title_sort quantitative evaluation method utilizing the homology concept to assess the state of chromatin within the nucleus of lung cancer
url https://doi.org/10.1038/s41598-023-46213-w
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