scholarly journals StemSC: A Cross-dataset Human Stemness Index for Single-cell Samples

Author(s):  
Hailong Zheng ◽  
Jiajing Xie ◽  
Kai Song ◽  
Jing Yang ◽  
Huiting Xiao ◽  
...  

Abstract Background: Stemness is defined as the potential of cells for self-renewal and differentiation. Many transcriptome-based methods for stemness evaluation have been proposed. However, all these stemness indexes showed low correlations with differentiation time and the limitation to identify the high-stemness cells across datasets. Methods: Here, we constructed a stemness index for single-cell samples (StemSC) based on relative expression orderings (REO) of gene pairs. Firstly, we identified the stemness-related genes by selecting the genes significantly related to differentiation time in all five datasets. Then, we used 13 RNA-seq datasets from both the bulk and single-cell ESC samples to construct the reference REOs. Finally, the StemSC value of a given sample was calculated as the percentage of gene pairs with the same REOs as the ESC samples.Results: We validated the StemSC by its higher correlations with differentiation time in eight normal datasets and its higher correlations with tumor dedifferentiation in three colorectal cancer datasets and four glioma datasets. By using the StemSC, we can recognize the tissue-specific stem genes and automatically construct the cell differentiation trajectories. StemSC also could provide the same threshold to identify high-stemness cells across datasets. Results showed that the tumor cells with high-stemness had fewer interactions with anti-tumor immune cells. Besides, the immunotherapy-treated patients with high-stemness had worse survival than those with low-stemness. Conclusions: All above results showed StemSC is a better stemness index to calculate the stemness across datasets, which can help researchers explore the effect of stemness on other biological processes.

2020 ◽  
Author(s):  
Momeneh Foroutan ◽  
Ramyar Molania ◽  
Aline Pfefferle ◽  
Corina Behrenbruch ◽  
Axel Kallies ◽  
...  

AbstractImmunotherapy success in colorectal cancer (CRC) is mainly limited to patients whose tumours exhibit high microsatellite instability (MSI). However, there is variability in treatment outcomes within this group, which is in part driven by the frequency and characteristics of tumour infiltrating immune cells. Indeed, the presence of specific infiltrating immune cell subsets has been shown to correlate with immunotherapy responses and is in many cases prognostic of treatment outcome. Tumour-infiltrating lymphocytes (TILs) can undergo distinct differentiation programs such as acquire features of tissue-residency or exhaustion, a process during which T cells upregulate inhibitory receptors such as PD-1 and loose functionality. While residency and exhaustion programs of CD8 T cells are relatively well-studied, these programs have only recently been appreciated in CD4 T cells and remain largely unknown in tumour-infiltrating natural killer (NK) cells. In this study, we use single cell RNA-seq data to identify signatures of residency and exhaustion in CRC infiltrating lymphocytes, including CD8, CD4 and NK cells. We then test these signatures in independent single cell data from tumour and normal tissue infiltrating immune cells. Further, we use versions of these signatures adapted for bulk RNA-seq data to identify a list of tumour intrinsic mutations associated with residency and exhaustion from TCGA data. Finally, using two independent transcriptomic data sets from patients with colon adenocarcinoma, we show that combinations of these signatures, in particular NK signatures, as well as tumour-associated signatures, such as TGF-β signalling, are associated with distinct survival outcomes in colorectal cancer patients.


2018 ◽  
Author(s):  
Jianhua Yin ◽  
Zhisheng Li ◽  
Chen Yan ◽  
Enhao Fang ◽  
Ting Wang ◽  
...  

AbstractThe tumor microenvironment is composed of numerous cell types, including tumor, immune and stromal cells. Cancer cells interact with the tumor microenvironment to suppress anticancer immunity. In this study, we molecularly dissected the tumor microenvironment of breast cancer by single-cell RNA-seq. We profiled the breast cancer tumor microenvironment by analyzing the single-cell transcriptomes of 52,163 cells from the tumor tissues of 15 breast cancer patients. The tumor cells and immune cells from individual patients were analyzed simultaneously at the single-cell level. This study explores the diversity of the cell types in the tumor microenvironment and provides information on the mechanisms of escape from clearance by immune cells in breast cancer.One Sentence SummaryLandscape of tumor cells and immune cells in breast cancer by single cell RNA-seq


2020 ◽  
Vol 8 (Suppl 3) ◽  
pp. A799-A799
Author(s):  
Dhiraj Kumar ◽  
Sreeharsha Gurrapu ◽  
Hyunho Han ◽  
Yan Wang ◽  
Seongyeon Bae ◽  
...  

BackgroundLong non-coding RNAs (lncRNAs) are involved in various biological processes and diseases. Malat1 (metastasis-associated lung adenocarcinoma transcript 1), also known as Neat2, is one of the most abundant and highly conserved nuclear lncRNAs. Several studies have shown that the expression of lncRNA Malat1 is associated with metastasis and serving as a predictive marker for various tumor progression. Metastatic relapse often develops years after primary tumor removal as a result of disseminated tumor cells undergoing a period of latency in the target organ.1–4 However, the correlation of tumor intrinsic lncRNA in regulation of tumor dormancy and immune evasion is largely unknown.MethodsUsing an in vivo screening platform for the isolation of genetic entities involved in either dormancy or reactivation of breast cancer tumor cells, we have identified Malat1 as a positive mediator of metastatic reactivation. To functionally uncover the role of Malat1 in metastatic reactivation, we have developed a knock out (KO) model by using paired gRNA CRISPR-Cas9 deletion approach in metastatic breast and other cancer types, including lung, colon and melanoma. As proof of concept we also used inducible knockdown system under in vivo models. To delineate the immune micro-environment, we have used 10X genomics single cell RNA-seq, ChIRP-seq, multi-color flowcytometry, RNA-FISH and immunofluorescence.ResultsOur results reveal that the deletion of Malat1 abrogates the tumorigenic and metastatic potential of these tumors and supports long-term survival without affecting their ploidy, proliferation, and nuclear speckles formation. In contrast, overexpression of Malat1 leads to metastatic reactivation of dormant breast cancer cells. Moreover, the loss of Malat1 in metastatic cells induces dormancy features and inhibits cancer stemness. Our RNA-seq and ChIRP-seq data indicate that Malat1 KO downregulates several immune evasion and stemness associated genes. Strikingly, Malat1 KO cells exhibit metastatic outgrowth when injected in T cells defective mice. Our single-cell RNA-seq cluster analysis and multi-color flow cytometry data show a greater proportion of T cells and reduce Neutrophils infiltration in KO mice which indicate that the immune microenvironment playing an important role in Malat1-dependent immune evasion. Mechanistically, loss of Malat1 is associated with reduced expression of Serpinb6b, which protects the tumor cells from cytotoxic killing by the T cells. Indeed, overexpression of Serpinb6b rescued the metastatic potential of Malat1 KO cells by protecting against cytotoxic T cells.ConclusionsCollectively, our data indicate that targeting this novel cancer-cell-initiated domino effect within the immune system represents a new strategy to inhibit tumor metastatic reactivation.Trial RegistrationN/AEthics ApprovalFor all the animal studies in the present study, the study protocols were approved by the Institutional Animal Care and Use Committee(IACUC) of UT MD Anderson Cancer Center.ConsentN/AReferencesArun G, Diermeier S, Akerman M, et al., Differentiation of mammary tumors and reduction in metastasis upon Malat1 lncRNA loss. Genes Dev 2016 Jan 1;30(1):34–51.Filippo G. Giancotti, mechanisms governing metastatic dormancy and reactivation. Cell 2013 Nov 7;155(4):750–764.Gao H, Chakraborty G, Lee-Lim AP, et al., The BMP inhibitor Coco reactivates breast cancer cells at lung metastatic sites. Cell 2012b;150:764–779.Gao H, Chakraborty G, Lee-Lim AP, et al., Forward genetic screens in mice uncover mediators and suppressors of metastatic reactivation. Proc Natl Acad Sci U S A 2014 Nov 18; 111(46): 16532–16537.


2021 ◽  
Author(s):  
Hongyu Li ◽  
Abdullah A. Gharamah ◽  
Jacob R. Hambrook ◽  
Xinzhong Wu ◽  
Patrick C. Hanington

2020 ◽  
Vol 19 ◽  
pp. 153303382096944
Author(s):  
Muhammed A. Bakhrebah ◽  
Mohammad Nasrullah ◽  
Wesam H. Abdulaal ◽  
Mohammed A. Hassan ◽  
Halima Siddiqui ◽  
...  

Among all cancer types, colorectal cancer is the third most common in men and the second most common in women globally. Generally, the risk of colorectal cancer increases with age, and colorectal cancer is modulated by various genetic alterations. Alterations in the immune response serve a significant role in the development of colorectal cancer. In primary cancer types, immune cells express a variety of inhibitory molecules that dampen the immune response against tumor cells. Additionally, few reports have demonstrated that classical chemotherapy promotes the immunosuppressive microenvironment in both tissues and immune cells. This study assessed the expression levels of genes using RT-qPCR associated with the immune system, including interferon-γ, programmed death-1, β2-microglobulin, human leukocyte antigen-A, CD3e, CD28 and intracellular adhesion molecule 1, in patients with colorectal cancer, as these genes are known to serve important roles in immune regulation during cancer incidence. Gene expression analysis was performed with the whole blood cells of patients with colorectal cancer and healthy volunteers. Compared with the normal controls, programmed death-1was highly expressed in patients with advanced-stage colorectal cancer. Furthermore, the expression of programmed death-1 was higher in patients receiving adjuvant therapy, which suggests the therapy dampened the immune response against tumor cells. The results of the present study indicate that classical adjuvant therapies, which are currently used for patients with colorectal cancer, should be modulated, and a combination of classical therapy with anti-programmed death-1 antibody should be conducted for improved management of patients with colorectal cancer.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e14753-e14753
Author(s):  
Stephanie Shishido ◽  
Peter Kuhn

e14753 Background: The liquid biopsy is a noninvasive route to evaluate circulating tumor cells (CTCs) during the course of treatment to gain understanding of tumor biology, with potential prognostic utility. CTCs could serve as a predictive biomarker while aiding in the identification of resistance mechanisms to treatment through single cell genomic and proteomic analysis providing a longitudinal snapshots of tumor heterogeneity. Methods: Through the use of the high definition single cell assay (HD-SCA) workflow, we characterized the rare circulating cells to determine prognostic value of the liquid biopsy in monitoring the efficacy of andecaliximab in a combinational treatment as 1st or 2nd line therapy in patients with metastatic colorectal cancer (mCRC). 174 samples from 95 patients were analyzed to determine the significance of CTCs during treatment. Results: HD-CTCs were detected in 31% of samples, with 41 (43%) patients being CTC positive in at least 1 timepoint during the study. Patients receiving 1st line therapy presented with a median of 0 (range 0-346.04) and a mean of 9.49 (±14.06) HD-CTC/mL at baseline (BL). At initiation of 2nd line therapy, patients presented with a median of 0 HD-CTC/mL (range 0-277.37) and a mean of 10.94 (±15.32). There was no association between BL HD-CTC/mL and response, but for the 20 patients with > 1 HD-CTC at BL, there was a trend toward response for higher HD-CTC/mL (non-response: mean 2.8, n = 12; response: mean 89.7, n = 8; p = .04). The 3 patients with > 10 HD-CTC/mL at BL had undetectable HD-CTC on-treatment, which accompanied radiologic partial response; however, the 2 patients with complete radiological response had no HD-CTC detected at BL. In case studies, treatment pressure led to an observable change in HD-CTC morphology and genomic instability (single cell CNV analysis), suggesting these parameters may inform prognosis. Conclusions: Characterization of CTCs from patients with mCRC is feasible and may provide prognostic information to guide clinical decision making. Further evaluation of CTCs for pharmacodynamics and clinical monitoring in patients with mCRC is warranted.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e16111-e16111
Author(s):  
Jianjun Yang ◽  
Guanghui Xu ◽  
Jiyang Zheng ◽  
Kunli Du ◽  
Wei Zhou ◽  
...  

e16111 Background: Nowadays, immune checkpoint inhibitors (ICIs) targeting programmed death-1/ligand-1 (PD-1/PD-L1) have been an alternative in cancer treatments. Previous biomarker analysis found that response to anti-PD1/PD-L1 was associated with PD-L1 expression on tumor cells and/or tumor infiltrating immune cells in some cancer types. Explorations of IMblaze370 study demonstrated better survival outcome in colorectal cancer (CRC) patients with positive PD-L1 expression compared with those with negative PD-L1 expression in the atezolizumab group. Our study investigated PD-L1 expression profile in Chinese CRC population. Methods: PD-L1 expression on tumor cells or tumor infiltrating immune cells in 816 CRC tumors between January 01, 2017 and December 02, 2019 in 3D Medicines database was assessed by immunohistochemistry assay (SP263 or 22C3). We defined percentage of PD-L1 expression on tumor cells as tumor proportion score (TPS) strong positive ≥50%, moderate positive ≥5% and < 50%, weak positive ≥1% and < 5%, and negative < 1%. Similarly, we defined percentage of PD-L1 expression on infiltrating immune cells as immune proportion score (IPS) strong positive ≥10%, moderate positive ≥5% and < 10%, weakly positive ≥1% and < 5%, and negative < 1%. In addition, MSI status was evaluated with targeted next-generation sequencing covering 100 MSI loci. Results: 12 (1.5%) individuals had TPS as strong positive, 63 (7.7%) as moderate positive, 95 (11.6%) as weak positive and 646 (79.2%) as negative. Meanwhile, TPS of patients were 55 (6.7%) for strong positive, 49 (6.0%) for moderate positive, 34 (4.2%) for weak positive and 678 (83.0%) for negative, respectively. 16.9% in Chinese CRC patients here were defined as positive PD-L1 expression (IPS ≥1%), which is lower than the positive proportion of CRC in IMblaze370 study (39.9% for IPS ≥1%, P < 0.0001). The PD-L1 expression on tumor cells and on tumor infiltrating immune cells showed minimal overlap. In detail, only 29 (3.6%) patients exhibited simultaneously TPS positive (≥1%) and IPS positive (≥1%). Furthermore, IPS was not associated with MSI status (P = 0.9153), while TPS showed an association with MSI-H (P < 0.0001). In detail, 45.5% of MSI-H CRC patients were TPS positive. Conclusions: Chinese CRC patients express PD-L1 with 20.8% TPS positive and 17.0% IPS positive, and TPS positive were related to MSI-H. When studying the connection between the efficacy of PD1/PD-L1 inhibitors and PD-L1 expression, TPS and IPS detection would be both considered to engage.


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