Abstract PO-013: Defining immune infiltrate heterogeneity and its role in ovarian cancer chemotherapy resistance using single cell RNA sequencing

Author(s):  
Shobhana Talukdar ◽  
Jason Cepela ◽  
Zenas Chang ◽  
Mihir Shetty ◽  
Ying Zhang ◽  
...  
2021 ◽  
Vol 162 ◽  
pp. S109
Author(s):  
Shruthi Chandra ◽  
Andrea Johnson ◽  
Mihir Shetty ◽  
Jason Cepela ◽  
Shobhana Talukdar ◽  
...  

2021 ◽  
Vol 11 ◽  
Author(s):  
Meijia Gu ◽  
Ti He ◽  
Yuncong Yuan ◽  
Suling Duan ◽  
Xin Li ◽  
...  

BackgroundCervical cancer is one of the most common gynecological cancers worldwide. The tumor microenvironment significantly influences the therapeutic response and clinical outcome. However, the complex tumor microenvironment of cervical cancer and the molecular mechanisms underlying chemotherapy resistance are not well studied. This study aimed to comprehensively analyze cells from pretreated and chemoresistant cervical cancer tissues to generate a molecular census of cell populations.MethodsBiopsy tissues collected from patients with cervical squamous cell carcinoma, cervical adenocarcinoma, and chronic cervicitis were subjected to single-cell RNA sequencing using the 10× Genomics platform. Unsupervised clustering analysis of cells was performed to identify the main cell types, and important cell clusters were reclustered into subpopulations. Gene expression profiles and functional enrichment analysis were used to explore gene expression and functional differences between cell subpopulations in cervicitis and cervical cancer samples and between chemoresistant and chemosensitive samples.ResultsA total of 24,371 cells were clustered into nine separate cell types, including immune and non-immune cells. Differentially expressed genes between chemoresistant and chemosensitive patients enriched in the phosphoinositide 3-kinase (PI3K)/AKT pathway were involved in tumor development, progression, and apoptosis, which might lead to chemotherapy resistance.ConclusionsOur study provides a comprehensive overview of the cancer microenvironment landscape and characterizes its gene expression and functional difference in chemotherapy resistance. Consequently, our study deepens the insights into cervical cancer biology through the identification of gene markers for diagnosis, prognosis, and therapy.


Author(s):  
Hongyu Zhao ◽  
Zhefeng Li ◽  
Yan Gao ◽  
Jie Li ◽  
Xiaoting Zhao ◽  
...  

Ovarian cancer (OC) is one of the most lethal gynecologic malignancies. Most patients die of metastasis due to a lack of other treatments aimed at improving the prognosis of OC patients. In the present study, we use multiple methods to identify prognostic S1 as the dominant subtype in OC, possessing the most ligand–receptor pairs with other cell types. Based on markers of S1, the consensus clustering algorithm is used to explore the clinical treatment subtype in OC. As a result, we identify two clusters associated with distinct survival and drug response. Notably, IFI6 contributes to the cluster classification and seems to be a vital gene in OC carcinogenesis. Functional enrichment analysis demonstrates that its functions involve G2M and cisplatin resistance, and downregulation of IFI6 suppresses proliferation capabilities and significantly potentiates cisplatin-induced apoptosis of OC cells in vitro. To explore possible mechanisms of IFI6 influencing OC proliferation and cisplatin resistance, GSEA is conducted and shows that IFI6 is positively correlated with the NF-κB pathway, which is validated by RT-qPCR. Significantly, we develop a prognostic model including IFI6, RiskScore, which is an independent prognostic factor and presents encouraging prognostic values. Our findings provide novel insights into elucidating the biology of OC based on single-cell RNA-sequencing. Moreover, this approach is potentially helpful for personalized anti-cancer strategies and predicting outcomes in the setting of OC.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e17548-e17548
Author(s):  
Jessica Hawley ◽  
Aleksandar Obradovic ◽  
Xinzheng Victor Guo ◽  
Matthew Chaimowitz ◽  
Clara A Easterlin ◽  
...  

e17548 Background: Overall survival of men with de novo metastatic, hormone-sensitive prostate cancer (mHSPC) is improved by treatment intensification with docetaxel and hormone therapy compared to androgen deprivation therapy (ADT) alone. However, castration-resistant prostate cancer (CRPC) invariably develops. We and others have shown that ADT induces a robust and complex immune infiltrate in localized prostate cancer, in both animal models and humans. We are conducting a clinical trial (NCT03951831) to test the hypothesis that the ADT-induced immune infiltrate can be further augmented with chemotherapy and an anti-PD-1 inhibitor in men with mHSPC. Here, we present single-cell RNA-sequencing analysis of paired metastatic tumor biopsies at baseline and on-treatment. Methods: In our phase 2, open-label, single-center trial, eligible patients with mHSPC are treated with phased administration of ADT, cemiplimab (anti-PD-1 inhibitor), and docetaxel. All patients undergo baseline metastatic tumor biopsies as well as on-treatment biopsies after either ADT alone or ADT in combination with cemiplimab. Biopsies are dissociated by gentleMACS protocol, and single cells are sequenced using the 10X Chromium platform. Cells are Quality-control filtered to those with over 1000 Unique Molecular Identifiers and less than 25% mitochondrial RNA, then clustered on global gene expression and on inferred protein activity by unsupervised Louvain algorithm with silhouette score selection of optimal clustering resolution. Cell types are assigned by the singleR algorithm and tumor cell identity is verified by inference of Copy Number Variations (InferCNV). Differential gene expression across sub-clusters is performed, and baselines will be compared to their paired on-treatment sample (N = 3). Results: Preliminary results showed a significant increase in the normalized fold-change of CD8+ T cells in on-treatment samples relative to baseline samples (P < 0.001). There was also a dramatic increase in other immune cell subtypes with treatment. In addition, we found a shift in transcriptional state of tumor cells and that tumor cells expressing KLK2/KLK3 significantly dissipate with treatment (normalized fold-change 0.56, P < 0.001). Conclusions: Taken together these show the feasibility of SS-RNA-seq on PC metastatic lesions and provide initial support for the hypothesis that ADT induces complex immunological changes in the tumor microenvironment (TME) in metastatic prostate tumors.


Sign in / Sign up

Export Citation Format

Share Document