Cargando…

Turicibacter and Acidaminococcus predict immune-related adverse events and efficacy of immune checkpoint inhibitor

INTRODUCTION: Immune checkpoint inhibitors have had a major impact on cancer treatment. Gut microbiota plays a major role in the cancer microenvironment, affecting treatment response. The gut microbiota is highly individual, and varies with factors, such as age and race. Gut microbiota composition i...

Descripción completa

Detalles Bibliográficos
Autores principales: Hamada, Kazuyuki, Isobe, Junya, Hattori, Kouya, Hosonuma, Masahiro, Baba, Yuta, Murayama, Masakazu, Narikawa, Yoichiro, Toyoda, Hitoshi, Funayama, Eiji, Tajima, Kohei, Shida, Midori, Hirasawa, Yuya, Tsurui, Toshiaki, Ariizumi, Hirotsugu, Ishiguro, Tomoyuki, Suzuki, Risako, Ohkuma, Ryotaro, Kubota, Yutaro, Sambe, Takehiko, Tsuji, Mayumi, Wada, Satoshi, Kiuchi, Yuji, Kobayashi, Shinichi, Kuramasu, Atsuo, Horiike, Atsushi, Kim, Yun-Gi, Tsunoda, Takuya, Yoshimura, Kiyoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189048/
https://www.ncbi.nlm.nih.gov/pubmed/37207204
http://dx.doi.org/10.3389/fimmu.2023.1164724
_version_ 1785042999673094144
author Hamada, Kazuyuki
Isobe, Junya
Hattori, Kouya
Hosonuma, Masahiro
Baba, Yuta
Murayama, Masakazu
Narikawa, Yoichiro
Toyoda, Hitoshi
Funayama, Eiji
Tajima, Kohei
Shida, Midori
Hirasawa, Yuya
Tsurui, Toshiaki
Ariizumi, Hirotsugu
Ishiguro, Tomoyuki
Suzuki, Risako
Ohkuma, Ryotaro
Kubota, Yutaro
Sambe, Takehiko
Tsuji, Mayumi
Wada, Satoshi
Kiuchi, Yuji
Kobayashi, Shinichi
Kuramasu, Atsuo
Horiike, Atsushi
Kim, Yun-Gi
Tsunoda, Takuya
Yoshimura, Kiyoshi
author_facet Hamada, Kazuyuki
Isobe, Junya
Hattori, Kouya
Hosonuma, Masahiro
Baba, Yuta
Murayama, Masakazu
Narikawa, Yoichiro
Toyoda, Hitoshi
Funayama, Eiji
Tajima, Kohei
Shida, Midori
Hirasawa, Yuya
Tsurui, Toshiaki
Ariizumi, Hirotsugu
Ishiguro, Tomoyuki
Suzuki, Risako
Ohkuma, Ryotaro
Kubota, Yutaro
Sambe, Takehiko
Tsuji, Mayumi
Wada, Satoshi
Kiuchi, Yuji
Kobayashi, Shinichi
Kuramasu, Atsuo
Horiike, Atsushi
Kim, Yun-Gi
Tsunoda, Takuya
Yoshimura, Kiyoshi
author_sort Hamada, Kazuyuki
collection PubMed
description INTRODUCTION: Immune checkpoint inhibitors have had a major impact on cancer treatment. Gut microbiota plays a major role in the cancer microenvironment, affecting treatment response. The gut microbiota is highly individual, and varies with factors, such as age and race. Gut microbiota composition in Japanese cancer patients and the efficacy of immunotherapy remain unknown. METHODS: We investigated the gut microbiota of 26 patients with solid tumors prior to immune checkpoint inhibitor monotherapy to identify bacteria involved in the efficacy of these drugs and immune-related adverse events (irAEs). RESULTS: The genera Prevotella and Parabacteroides were relatively common in the group showing efficacy towards the anti-PD-1 antibody treatment (effective group). The proportions of Catenibacterium (P = 0.022) and Turicibacter (P = 0.049) were significantly higher in the effective group than in the ineffective group. In addition, the proportion of Desulfovibrion (P = 0.033) was significantly higher in the ineffective group. Next, they were divided into irAE and non-irAE groups. The proportions of Turicibacter (P = 0.001) and Acidaminococcus (P = 0.001) were significantly higher in the group with irAEs than in those without, while the proportions of Blautia (P = 0.013) and the unclassified Clostridiales (P = 0.027) were significantly higher in the group without irAEs than those with. Furthermore, within the Effective group, Acidaminococcus and Turicibacter (both P = 0.001) were more abundant in the subgroup with irAEs than in those without them. In contrast, Blautia (P = 0.021) and Bilophila (P= 0.033) were statistically significantly more common in those without irAEs. DISCUSSION: Our Study suggests that the analysis of the gut microbiota may provide future predictive markers for the efficacy of cancer immunotherapy or the selection of candidates for fecal transplantation for cancer immunotherapy.
format Online
Article
Text
id pubmed-10189048
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-101890482023-05-18 Turicibacter and Acidaminococcus predict immune-related adverse events and efficacy of immune checkpoint inhibitor Hamada, Kazuyuki Isobe, Junya Hattori, Kouya Hosonuma, Masahiro Baba, Yuta Murayama, Masakazu Narikawa, Yoichiro Toyoda, Hitoshi Funayama, Eiji Tajima, Kohei Shida, Midori Hirasawa, Yuya Tsurui, Toshiaki Ariizumi, Hirotsugu Ishiguro, Tomoyuki Suzuki, Risako Ohkuma, Ryotaro Kubota, Yutaro Sambe, Takehiko Tsuji, Mayumi Wada, Satoshi Kiuchi, Yuji Kobayashi, Shinichi Kuramasu, Atsuo Horiike, Atsushi Kim, Yun-Gi Tsunoda, Takuya Yoshimura, Kiyoshi Front Immunol Immunology INTRODUCTION: Immune checkpoint inhibitors have had a major impact on cancer treatment. Gut microbiota plays a major role in the cancer microenvironment, affecting treatment response. The gut microbiota is highly individual, and varies with factors, such as age and race. Gut microbiota composition in Japanese cancer patients and the efficacy of immunotherapy remain unknown. METHODS: We investigated the gut microbiota of 26 patients with solid tumors prior to immune checkpoint inhibitor monotherapy to identify bacteria involved in the efficacy of these drugs and immune-related adverse events (irAEs). RESULTS: The genera Prevotella and Parabacteroides were relatively common in the group showing efficacy towards the anti-PD-1 antibody treatment (effective group). The proportions of Catenibacterium (P = 0.022) and Turicibacter (P = 0.049) were significantly higher in the effective group than in the ineffective group. In addition, the proportion of Desulfovibrion (P = 0.033) was significantly higher in the ineffective group. Next, they were divided into irAE and non-irAE groups. The proportions of Turicibacter (P = 0.001) and Acidaminococcus (P = 0.001) were significantly higher in the group with irAEs than in those without, while the proportions of Blautia (P = 0.013) and the unclassified Clostridiales (P = 0.027) were significantly higher in the group without irAEs than those with. Furthermore, within the Effective group, Acidaminococcus and Turicibacter (both P = 0.001) were more abundant in the subgroup with irAEs than in those without them. In contrast, Blautia (P = 0.021) and Bilophila (P= 0.033) were statistically significantly more common in those without irAEs. DISCUSSION: Our Study suggests that the analysis of the gut microbiota may provide future predictive markers for the efficacy of cancer immunotherapy or the selection of candidates for fecal transplantation for cancer immunotherapy. Frontiers Media S.A. 2023-05-03 /pmc/articles/PMC10189048/ /pubmed/37207204 http://dx.doi.org/10.3389/fimmu.2023.1164724 Text en Copyright © 2023 Hamada, Isobe, Hattori, Hosonuma, Baba, Murayama, Narikawa, Toyoda, Funayama, Tajima, Shida, Hirasawa, Tsurui, Ariizumi, Ishiguro, Suzuki, Ohkuma, Kubota, Sambe, Tsuji, Wada, Kiuchi, Kobayashi, Kuramasu, Horiike, Kim, Tsunoda and Yoshimura https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Hamada, Kazuyuki
Isobe, Junya
Hattori, Kouya
Hosonuma, Masahiro
Baba, Yuta
Murayama, Masakazu
Narikawa, Yoichiro
Toyoda, Hitoshi
Funayama, Eiji
Tajima, Kohei
Shida, Midori
Hirasawa, Yuya
Tsurui, Toshiaki
Ariizumi, Hirotsugu
Ishiguro, Tomoyuki
Suzuki, Risako
Ohkuma, Ryotaro
Kubota, Yutaro
Sambe, Takehiko
Tsuji, Mayumi
Wada, Satoshi
Kiuchi, Yuji
Kobayashi, Shinichi
Kuramasu, Atsuo
Horiike, Atsushi
Kim, Yun-Gi
Tsunoda, Takuya
Yoshimura, Kiyoshi
Turicibacter and Acidaminococcus predict immune-related adverse events and efficacy of immune checkpoint inhibitor
title Turicibacter and Acidaminococcus predict immune-related adverse events and efficacy of immune checkpoint inhibitor
title_full Turicibacter and Acidaminococcus predict immune-related adverse events and efficacy of immune checkpoint inhibitor
title_fullStr Turicibacter and Acidaminococcus predict immune-related adverse events and efficacy of immune checkpoint inhibitor
title_full_unstemmed Turicibacter and Acidaminococcus predict immune-related adverse events and efficacy of immune checkpoint inhibitor
title_short Turicibacter and Acidaminococcus predict immune-related adverse events and efficacy of immune checkpoint inhibitor
title_sort turicibacter and acidaminococcus predict immune-related adverse events and efficacy of immune checkpoint inhibitor
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189048/
https://www.ncbi.nlm.nih.gov/pubmed/37207204
http://dx.doi.org/10.3389/fimmu.2023.1164724
work_keys_str_mv AT hamadakazuyuki turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT isobejunya turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT hattorikouya turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT hosonumamasahiro turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT babayuta turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT murayamamasakazu turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT narikawayoichiro turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT toyodahitoshi turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT funayamaeiji turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT tajimakohei turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT shidamidori turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT hirasawayuya turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT tsuruitoshiaki turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT ariizumihirotsugu turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT ishigurotomoyuki turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT suzukirisako turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT ohkumaryotaro turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT kubotayutaro turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT sambetakehiko turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT tsujimayumi turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT wadasatoshi turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT kiuchiyuji turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT kobayashishinichi turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT kuramasuatsuo turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT horiikeatsushi turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT kimyungi turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT tsunodatakuya turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor
AT yoshimurakiyoshi turicibacterandacidaminococcuspredictimmunerelatedadverseeventsandefficacyofimmunecheckpointinhibitor