TY - JOUR
T1 - Dissecting intratumoral myeloid cell plasticity by single cell RNA-seq
AU - Song, Qianqian
AU - Hawkins, Gregory A.
AU - Wudel, Leonard
AU - Chou, Ping Chieh
AU - Forbes, Elizabeth
AU - Pullikuth, Ashok K.
AU - Liu, Liang
AU - Jin, Guangxu
AU - Craddock, Lou
AU - Topaloglu, Umit
AU - Kucera, Gregory
AU - O’Neill, Stacey
AU - Levine, Edward A.
AU - Sun, Peiqing
AU - Watabe, Kounosuke
AU - Lu, Yong
AU - Alexander-Miller, Martha A.
AU - Pasche, Boris
AU - Miller, Lance D.
AU - Zhang, Wei
N1 - Funding Information:
This work was supported in part by the Cancer Genomics, Tumor Tissue Repository, and Bioinformatics Shared Resources under the NCI Cancer Center Support Grant to the Comprehensive Cancer Center of Wake Forest University Health Sciences (P30CA012197). WZ is supported by the Hanes and Willis Professorship in Cancer. LDM is supported by the Mary Kirkpatrick Professorship for Breast Cancer Research. Additional support for QS, LL, GJ, and WZ were provided by a Fellowship to WZ from the National Foundation for Cancer Research.
Funding Information:
Funding information This work was supported in part by the Cancer Genomics, Tumor Tissue Repository, and Bioinformatics Shared Resources under the NCI Cancer Center Support Grant to the Comprehensive Cancer Center of Wake Forest University Health Sciences (P30CA012197). WZ is supported by the Hanes and Willis Professorship in Cancer. LDM is supported by the Mary Kirkpatrick Professorship for Breast Cancer Research. Additional support for QS, LL, GJ, and WZ were provided by a Fellowship to WZ from the National Foundation for Cancer Research. BP is supported by the Charles L. Spurr Professorship Fund. We also acknowledge the Deal Fund Travel Award to QS to present part of this work at the Annual Meeting of American Association for Cancer Research. We thank Wei Cui, Jamie Haywood, and Cynthia Van Horn of the Cancer Genomics Shared Resource (CGSR) for their technical expertise performing scRNA-seq. We also thank Libby McWilliams, Biorepository Coordinator, for her dedication to the collection of the patient samples.
Publisher Copyright:
© 2019 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.
PY - 2019/6
Y1 - 2019/6
N2 - Tumor-infiltrating myeloid cells are the most abundant leukocyte population within tumors. Molecular cues from the tumor microenvironment promote the differentiation of immature myeloid cells toward an immunosuppressive phenotype. However, the in situ dynamics of the transcriptional reprogramming underlying this process are poorly understood. Therefore, we applied single cell RNA-seq (scRNA-seq) to computationally investigate the cellular composition and transcriptional dynamics of tumor and adjacent normal tissues from 4 early-stage non-small cell lung cancer (NSCLC) patients. Our scRNA-seq analyses identified 11 485 cells that varied in identity and gene expression traits between normal and tumor tissues. Among these, myeloid cell populations exhibited the most diverse changes between tumor and normal tissues, consistent with tumor-mediated reprogramming. Through trajectory analysis, we identified a differentiation path from CD14+ monocytes to M2 macrophages (monocyte-to-M2). This differentiation path was reproducible across patients, accompanied by increased expression of genes (eg, MRC1/CD206, MSR1/CD204, PPARG, TREM2) with significantly enriched functions (Oxidative phosphorylation and P53 pathway) and decreased expression of genes (eg, CXCL2, IL1B) with significantly enriched functions (TNF-α signaling via NF-κB and inflammatory response). Our analysis further identified a co-regulatory network implicating upstream transcription factors (JUN, NFKBIA) in monocyte-to-M2 differentiation, and activated ligand-receptor interactions (eg, SFTPA1-TLR2, ICAM1-ITGAM) suggesting intratumoral mechanisms whereby epithelial cells stimulate monocyte-to-M2 differentiation. Overall, our study identified the prevalent monocyte-to-M2 differentiation in NSCLC, accompanied by an intricate transcriptional reprogramming mediated by specific transcriptional activators and intercellular crosstalk involving ligand-receptor interactions.
AB - Tumor-infiltrating myeloid cells are the most abundant leukocyte population within tumors. Molecular cues from the tumor microenvironment promote the differentiation of immature myeloid cells toward an immunosuppressive phenotype. However, the in situ dynamics of the transcriptional reprogramming underlying this process are poorly understood. Therefore, we applied single cell RNA-seq (scRNA-seq) to computationally investigate the cellular composition and transcriptional dynamics of tumor and adjacent normal tissues from 4 early-stage non-small cell lung cancer (NSCLC) patients. Our scRNA-seq analyses identified 11 485 cells that varied in identity and gene expression traits between normal and tumor tissues. Among these, myeloid cell populations exhibited the most diverse changes between tumor and normal tissues, consistent with tumor-mediated reprogramming. Through trajectory analysis, we identified a differentiation path from CD14+ monocytes to M2 macrophages (monocyte-to-M2). This differentiation path was reproducible across patients, accompanied by increased expression of genes (eg, MRC1/CD206, MSR1/CD204, PPARG, TREM2) with significantly enriched functions (Oxidative phosphorylation and P53 pathway) and decreased expression of genes (eg, CXCL2, IL1B) with significantly enriched functions (TNF-α signaling via NF-κB and inflammatory response). Our analysis further identified a co-regulatory network implicating upstream transcription factors (JUN, NFKBIA) in monocyte-to-M2 differentiation, and activated ligand-receptor interactions (eg, SFTPA1-TLR2, ICAM1-ITGAM) suggesting intratumoral mechanisms whereby epithelial cells stimulate monocyte-to-M2 differentiation. Overall, our study identified the prevalent monocyte-to-M2 differentiation in NSCLC, accompanied by an intricate transcriptional reprogramming mediated by specific transcriptional activators and intercellular crosstalk involving ligand-receptor interactions.
KW - intercellular interaction
KW - monocyte-to-M2 differentiation
KW - non-small cell lung cancer (NSCLC)
KW - single-cell RNA sequencing (scRNA-seq)
KW - trajectory analysis
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U2 - 10.1002/cam4.2113
DO - 10.1002/cam4.2113
M3 - Article
C2 - 31033233
AN - SCOPUS:85067182513
VL - 8
SP - 3072
EP - 3085
JO - Cancer Medicine
JF - Cancer Medicine
SN - 2045-7634
IS - 6
ER -