Gut microbiome features associate with immune checkpoint inhibitor response in individuals with non-melanoma skin cancers: an exploratory study

被引:0
|
作者
Zhao, Yujie [1 ]
Ferri, Jacqueline T. [2 ]
White, James R. [3 ]
Schollenberger, Megan D. [2 ]
Peloza, Kim [2 ]
Sears, Cynthia L. [2 ,4 ,5 ]
Lipson, Evan J. [2 ,5 ]
Shaikh, Fyza Y. [2 ,5 ]
机构
[1] Johns Hopkins Univ, Dept Biomed Engn, Baltimore, MD USA
[2] Johns Hopkins Univ, Sch Med, Dept Oncol, Baltimore, MD 21218 USA
[3] Resphera Biosci, Baltimore, MD USA
[4] Johns Hopkins Univ, Sch Med, Dept Med, Baltimore, MD 21218 USA
[5] BloombergKimmel Inst Canc Immunotherapy, Baltimore, MD 21287 USA
关键词
microbiome; immune checkpoint inhibitors; cutaneous squamous cell carcinoma; Merkel cell carcinoma; basal cell carcinoma; HUMAN-MELANOMA; PROGESTERONE;
D O I
10.1128/spectrum.02559-24
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Immune checkpoint inhibitor (ICI) therapy has yielded revolutionary outcomes among some individuals with skin cancer, but a large percentage of individuals do not benefit from these treatments. The gut microbiota is hypothesized to impact ICI therapy outcomes. However, data on ICI therapy, gut microbiota, and non-melanoma skin cancers are limited. To examine the association of gut microbiota structure and function with non-melanoma skin cancer ICI outcomes, we performed 16S rRNA V1-V2 gene amplicon sequencing of 68 fecal samples collected longitudinally from individuals with basal cell carcinoma (n = 5), Merkel cell carcinoma (n = 5), or cutaneous squamous cell carcinoma (CSCC, n = 11), followed by tumor-dependent differential analyses of bacterial composition and fecal sample analysis by untargeted metabolomics. Across all tumor types, we identified 10 differential bacterial genera between responders (R) or non-responders (NR) to ICI therapy. Among individuals with CSCC, we identified10 genera and 20 species that differentiated between R and NR and yielded 8 pathways enriched in NR and 12 pathways enriched in R by predicted functional pathway analyses. Untargeted fecal metabolomics to examine putative gut microbiota metabolites associated with CSCC ICI R/NR identified nine KEGG pathways associated with ICI efficacy. In summary, this exploratory study suggests gut microbiota features that are associated with ICI efficacy in individuals with non-melanoma skin cancers and highlights the need for larger studies to validate the results. IMPORTANCE Prior studies examining associations between ICI efficacy and the gut microbiome have focused primarily on individuals with melanoma, for whom ICI therapy was first approved. Meanwhile, data regarding microbiome features associated with ICI responses in individuals with non-melanoma skin cancers (NMSCs) have remained limited. This initial fecal microbiota examination of individuals with NMSCs suggests that larger-scale studies to extend and validate our findings may yield predictive or prognostic biomarkers for individuals with NMSC receiving ICI with potential to provide insight to complementary, effective therapeutic interventions through microbiota modification
引用
收藏
页数:6
相关论文
共 50 条
  • [21] The Tumor and Host Immune Signature, and the Gut Microbiota as Predictive Biomarkers for Immune Checkpoint Inhibitor Response in Melanoma Patients
    Tomela, Katarzyna
    Pietrzak, Bernadeta
    Schmidt, Marcin
    Mackiewicz, Andrzej
    LIFE-BASEL, 2020, 10 (10): : 1 - 25
  • [22] Prevention of non-melanoma skin cancers with nicotinamide in transplant recipients: a case-control study
    Drago, Francesco
    Ciccarese, Giulia
    Cogorno, Ludovica
    Calvi, Camillo
    Marsano, Luigina A.
    Parodi, Aurora
    EUROPEAN JOURNAL OF DERMATOLOGY, 2017, 27 (04) : 382 - 385
  • [23] Prevention of non-melanoma skin cancers with nicotinamide in transplant recipients: a case-control study
    Francesco Drago
    Giulia Ciccarese
    Ludovica Cogorno
    Camillo Calvi
    Luigina A. Marsano
    Aurora Parodi
    European Journal of Dermatology, 2017, 27 : 382 - 385
  • [24] Apoptosis and immune response are responsible for the site-specific incidence of non-melanoma skin cancer
    Manestar-Blazic, Teo
    Batinac, Tanja
    Hadzisejdic, Ita
    Brajac, Ines
    MEDICAL HYPOTHESES, 2007, 68 (04) : 853 - 855
  • [25] Outcomes of Australian patients receiving non-funded anti-PD-1 immune checkpoint inhibitors for non-melanoma cancers
    Tiu, Crescens
    Wong, Annie
    Herschtal, Alan
    Mileshkin, Linda
    ASIA-PACIFIC JOURNAL OF CLINICAL ONCOLOGY, 2018, 14 (04) : 337 - 342
  • [26] Pilot study examining blood cell count ratios as a predictor of subsequent non-melanoma skin cancers
    O'Neal, S.
    Ravishankar, A.
    Lindgren, B.
    Goldfarb, N.
    JOURNAL OF INVESTIGATIVE DERMATOLOGY, 2020, 140 (07) : S64 - S64
  • [27] Machine-learning classification of non-melanoma skin cancers from image features obtained by optical coherence tomography
    Jorgensen, Thomas Martini
    Tycho, Andreas
    Mogensen, Mette
    Bjerring, Peter
    Jemec, Gregor B. E.
    SKIN RESEARCH AND TECHNOLOGY, 2008, 14 (03) : 364 - 369
  • [28] An Exploratory Study of Associating Factors for Disease Progression After Response to Immune Checkpoint Inhibitor Monotherapy
    Kanai, O.
    Ito, T.
    Saito, Z.
    Yamamoto, Y.
    Fujita, K.
    Okamura, M.
    Hashimoto, M.
    Nakatani, K.
    Sawai, S.
    Mio, T.
    JOURNAL OF THORACIC ONCOLOGY, 2021, 16 (03) : S243 - S243
  • [29] The association between gut microbiome and response to checkpoint inhibitor therapy in non-small cell lung cancer
    Moon, J.
    Moon, H.
    JOURNAL OF THORACIC ONCOLOGY, 2021, 16 (04) : S709 - S710
  • [30] Are tumor-associated carbohydrates the missing link between the gut microbiome and response to immune checkpoint inhibitor treatment in cancer?
    Szallasi, Zoltan
    Prosz, Aurel
    Sztupinszki, Zsofia
    Moldvay, Judit
    ONCOIMMUNOLOGY, 2024, 13 (01):