scholarly journals 836 Murine fecal microbiota transfer models colonize human microbes selectively and reveal transcriptional pathways associated with response to neoadjuvant checkpoint inhibitors

2021 ◽  
Vol 9 (Suppl 3) ◽  
pp. A877-A877
Author(s):  
Fyza Shaikh ◽  
Joell Gills ◽  
Fuad Mohammad ◽  
James White ◽  
Courtney Stevens ◽  
...  

BackgroundHuman gut microbial species found to associate with clinical responses to immune checkpoint inhibitors (ICIs) are often tested in murine models using fecal microbiota transfer (FMT), wherein tumor responses in recipient mice may recapitulate human responses to ICI treatment. However, many FMT studies have reported only limited methodological description, including identification of colonizing species associated with murine outcomes, details of murine cohorts, and statistical methods. Thus, the reproducibility and robustness of ICI murine models remain uncertain.MethodsTo investigate gut microbial species that impact ICI responses, we performed human to germ-free (GF) mouse FMT using pre-treatment stools from a pathologic lung cancer responder (R) and a pathologic lung cancer non-responder (NR) after neoadjuvant anti-PD-1 and anti-CTLA4 treatment, followed by implantation of the mice with syngeneic tumors and anti-PD-L1 treatment. Cohorts of GF mice varied by sex, age and syngeneic cell line implanted. To identify relevant microbes, murine tumor progressors (MT-P) and non-progressors (MT-NP) to anti-PD-L1 were classified based on tumor growth curves, 16S rRNA sequencing of human and mouse stools was performed, and data was statistically corrected for mouse characteristics using a generalized linear model. RNA sequencing was performed to assess transcriptional changes in murine tumors.ResultsR-FMT mice yielded a greater anti-tumor response in combination with anti-PD-L1 treatment compared to NR-FMT, although the magnitude varied depending on the mouse cell line, sex, and individual experiment. Microbiota analysis revealed a shared presence of the most highly abundant taxa between the human inocula and mice, however low abundance human taxa colonized mice more variably after FMT. Multiple Clostridium species correlated with tumor outcome in individual anti-PD-L1-treated R-FMT mice. RNAseq analysis revealed differential expression of T cell and NK cell-related pathways in responding tumors, irrespective of FMT source, and enrichment of these cell types were confirmed by immunohistochemistry.ConclusionsThis study identifies several human intestinal microbial species that may play a role in clinical responses to ICIs and suggests attention to biological variables is needed to improve reproducibility and limit variability across experimental murine models.Ethics ApprovalAll studies in this abstract have been approved by Johns Hopkins University Animal Care and Use and Johns Hopkins Medicine Institutional Review Board.

2021 ◽  
Vol 11 ◽  
Author(s):  
Xiangjun Liu ◽  
Ye Cheng ◽  
Dan Zang ◽  
Min Zhang ◽  
Xiuhua Li ◽  
...  

The influence of microbiota on host health and disease has attracted adequate attention, and gut microbiota components and microbiota-derived metabolites affect host immune homeostasis locally and systematically. Some studies have found that gut dysbiosis, disturbance of the structure and function of the gut microbiome, disrupts pulmonary immune homeostasis, thus leading to increased disease susceptibility; the gut-lung axis is the primary cross-talk for this communication. Gut dysbiosis is involved in carcinogenesis and the progression of lung cancer through genotoxicity, systemic inflammation, and defective immunosurveillance. In addition, the gut microbiome harbors the potential to be a novel biomarker for predicting sensitivity and adverse reactions to immunotherapy in patients with lung cancer. Probiotics and fecal microbiota transplantation (FMT) can enhance the efficacy and depress the toxicity of immune checkpoint inhibitors by regulating the gut microbiota. Although current studies have found that gut microbiota closely participates in the development and immunotherapy of lung cancer, the mechanisms require further investigation. Therefore, this review aims to discuss the underlying mechanisms of gut microbiota influencing carcinogenesis and immunotherapy in lung cancer and to provide new strategies for governing gut microbiota to enhance the prevention and treatment of lung cancer.


Cells ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 1525
Author(s):  
Marta Gascón ◽  
Dolores Isla ◽  
Mara Cruellas ◽  
Eva M. Gálvez ◽  
Rodrigo Lastra ◽  
...  

The molecular and cell determinants that modulate immune checkpoint (ICI) efficacy in lung cancer are still not well understood. However, there is a necessity to select those patients that will most benefit from these new treatments. Recent studies suggest the presence and/or the relative balance of specific lymphoid cells in the tumor microenvironment (TEM) including the T cell (activated, memory, and regulatory) and NK cell (CD56dim/bright) subsets, and correlate with a better response to ICI. The analyses of these cell subsets in peripheral blood, as a more accessible and homogeneous sample, might facilitate clinical decisions concerning fast prediction of ICI efficacy. Despite recent studies suggesting that lymphoid circulating cells might correlate with ICI efficacy and toxicity, more analyses and investigation are required to confirm if circulating lymphoid cells are a relevant picture of the lung TME and could be instrumental as ICI response biomarkers. This short review is aimed to discuss the recent advances in this fast-growing field.


2020 ◽  
Vol 5 (44) ◽  
pp. eaaz3199 ◽  
Author(s):  
Tianshi Lu ◽  
Shidan Wang ◽  
Lin Xu ◽  
Qinbo Zhou ◽  
Nirmish Singla ◽  
...  

Lack of responsiveness to checkpoint inhibitors is a central problem in the modern era of cancer immunotherapy. Tumor neoantigens are critical targets of the host antitumor immune response, and their presence correlates with the efficacy of immunotherapy treatment. Many studies involving assessment of tumor neoantigens principally focus on total neoantigen load, which simplistically treats all neoantigens equally. Neoantigen load has been linked with treatment response and prognosis in some studies but not others. We developed a Cauchy-Schwarz index of Neoantigens (CSiN) score to better account for the degree of concentration of immunogenic neoantigens in truncal mutations. Unlike total neoantigen load determinations, CSiN incorporates the effect of both clonality and MHC binding affinity of neoantigens when characterizing tumor neoantigen profiles. By analyzing the clinical responses in 501 treated patients with cancer (with most receiving checkpoint inhibitors) and the overall survival of 1978 patients with cancer at baseline, we showed that CSiN scores predict treatment response to checkpoint inhibitors and prognosis in patients with melanoma, lung cancer, and kidney cancer. CSiN score substantially outperformed prior genetics-based prediction methods of responsiveness and fills an important gap in research involving assessment of tumor neoantigen burden.


Author(s):  
Tianshi Lu ◽  
Shidan Wang ◽  
Lin Xu ◽  
Qinbo Zhou ◽  
Nirmish Singla ◽  
...  

AbstractLack of responsiveness to checkpoint inhibitors is a central problem in the modern era of cancer immunotherapy. Tumor neoantigens are critical mediators of host immune response and immunotherapy treatment efficacy. Current studies of neoantigens almost entirely focus on total neoantigen load, which simplistically treats all neoantigens equally. Besides, neoantigen loads have been linked with treatment response and prognosis only in some studies, but not others. We developed a Cauchy-Schwarz index of Neoantigens (CSiN) score to characterize the degree of concentration of immunogenic neoantigens in truncal mutations. Unlike simple neoantigen loads, CSiN incorporates the effect of both clonality and MHC-binding affinity of neoantigens when characterizing patient neoantigen profiles. By exploiting the clinical responses in 501 treated patients (mostly by checkpoint inhibitors) and the overall survival of 1,978 baseline patients, we showed that CSiN scores predict treatment response to checkpoint inhibitors and prognosis in melanoma, lung cancer, and kidney cancer patients. CSiN substantially outperforms prior genetics-based prediction methods of responsiveness. Overall, our work fulfilled an important gap in current research involving neoantigens.One Sentence SummaryThe quality of tumor neoantigens predicts response to immunotherapy


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e15559-e15559
Author(s):  
Paul Y. Song ◽  
Yong-Hee Cho ◽  
Myeong Geun Choi ◽  
Dong Ha Kim ◽  
Yun Jung Choi ◽  
...  

e15559 Background: Despite the increased promise of checkpoint inhibitors in the treatment of non-small cell lung cancer, the majority of patients do not respond and the potential for severe toxicity is significant. Unfortunately, the predictive value of PD-L1 expression has not always proven to be definitive and the overall need to find better biomarkers that will optimize the selection of patients who will best respond to therapy remains. Recent evidence has pointed to Natural Killer (NK) cells as an essential mediator in overall response to checkpoint inhibitors. We explore whether NK cell populations and/or their activity have any correlation with response. Methods: Peripheral blood mononuclear cells (PBMCs) from nine patients with Stage IV non-small cell lung cancer (four adenocarcinoma, five squamous cell carcinoma) were collected pre and post six-weeks of checkpoint immunotherapy (six received pembrolizumab, and three received nivolumab). Overall, four of nine (44.5%) were diagnosed as SD or PR via RECIST 1.1. The immune cell composition of the PBMCs of all nine patients was analyzed using multi-variated single-cell analysis using mass cytometry (CyTOF) with an optimized 32-marker panel. Natural Killer (NK) cell activity was measured with the NKVue kit which detects NK-secreted IFN-γ levels using a quantitative sandwich ELISA from NK cells exposed to a specific recombinant cytokine. Results: The overall percentages of NK cell populations found in the immune cells of PBMCs were prominently elevated in patients who responded (SD or PR) to checkpoint therapy compared to those who had progressive disease (non-responders). While there were no significant differences in the population of other immune cells between these two groups, the overall NK cell activity in patients who responded was highly elevated compared to the NK cell activity in non-responders. From the analysis of NK subsets, there were no differences in the population of early NK cells between the two groups, but the functionally differentiated late NK cells were prominently high in the responder group. Conclusions: Natural Killer (NK) cells have been recently implicated to play a key role in anti-tumor response to checkpoint inhibitors and our results suggest that the overall number of NK cells and their activity could prove to be an independent and reliable predictive tool/biomarker in patients with NSCLC.


2019 ◽  
Author(s):  
Roberta Poli ◽  
Clement Dumont ◽  
Lisa Pietrogiovanna ◽  
Vincent Servois ◽  
Sophie Beaucaire-Danel ◽  
...  

2019 ◽  
Vol XIV (4) ◽  
Author(s):  
O. Koval ◽  
V. Subrakova ◽  
A. Nushtaeva ◽  
T. Belovezhets ◽  
O. Troitskaya ◽  
...  

2011 ◽  
Vol 31 (10) ◽  
pp. 1091-1095
Author(s):  
Xiao-lin LI ◽  
Yan-fang ZHANG ◽  
Kai TANG ◽  
Ying TANG ◽  
Ruo-bing JIN ◽  
...  

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