2021
DOI: 10.1002/ctm2.253
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Multiregion single‐cell sequencing reveals the transcriptional landscape of the immune microenvironment of colorectal cancer

Abstract: Integrated single-cell RNA sequencing technologies reveal a high-resolution immune landscape of colorectal primary tumors and liver metastasis, identifying major immune cell types and distinct cell functional states of T and B cells as well as predictions of complex cell-cell interactions.

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Cited by 54 publications
(42 citation statements)
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“…In the Apc Min/+ CRC mouse model, an expansion of IgA + lymphocytes in the tumor microenvironment was identified [200]. This matches the dominancy of plasma cells in advanced tumors for CRC patients, where the B cell subpopulation IgA + IGLC2 + was associated with poor prognosis [201]. Noteworthy is the observation that pre-B like cells may have antitumor functions in the early stages of CRC development [201], but perhaps this becomes less effective when they differentiate into plasma cells in advanced CRC.…”
Section: Iga-microbiota In Colorectal Cancersupporting
confidence: 54%
“…In the Apc Min/+ CRC mouse model, an expansion of IgA + lymphocytes in the tumor microenvironment was identified [200]. This matches the dominancy of plasma cells in advanced tumors for CRC patients, where the B cell subpopulation IgA + IGLC2 + was associated with poor prognosis [201]. Noteworthy is the observation that pre-B like cells may have antitumor functions in the early stages of CRC development [201], but perhaps this becomes less effective when they differentiate into plasma cells in advanced CRC.…”
Section: Iga-microbiota In Colorectal Cancersupporting
confidence: 54%
“…The significance of the tumor microenvironment has been investigated in this study. Cross-talk between immune cells and tumor cells modulated tumor metastasis and therapy response [ 13 ]. Our cell-to-cell communication analysis revealed the existence of tumor-immune escape in lymph nodes and unraveled the respective ligand-receptor pairs.…”
Section: Discussionmentioning
confidence: 99%
“…More detailed information is discussed in our previous study. 36 After dismounting, raw reads were cleaned using Cutadapt (version 1.15) and mapped to hg38 using STAR (version 020201). Gene expression levels of each cell were quantified using RSEM (version 1.3.0) and combined in R (version 3.6.2).…”
Section: Methodsmentioning
confidence: 99%