Single-cell analyses reveal suppressive tumor microenvironment of human colorectal cancer.
Single-cell analyses reveal suppressive tumor microenvironment of human colorectal cancer.
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单细胞分析揭示人类结直肠癌的抑制性肿瘤微环境
DOI：
10.1002/ctm2.422
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发表时间：
2021-06
影响因子：
10.6
通讯作者：
Jia G
中科院分区：
文献类型：
--
作者：
Mei Y;Xiao W;Hu H;Lu G;Chen L;Sun Z;Lü M;Ma W;Jiang T;Gao Y;Li L;Chen G;Wang Z;Li H;Wu D;Zhou P;Leng Q;Jia G
肿瘤中的异源细胞类型对于塑造肿瘤进展的肿瘤微环境至关重要，并确定了在这里的治疗反应的结果，我们对34,037个单个细胞进行了彻底的特征，从而从12个治疗中获得了我们的全面评估。肿瘤与CRC相关。结直肠癌。
1）12例人类直肠癌患者的临床样本的单细胞分析。
2）人类CRC的肿瘤突变燃烧状态有助于不同的免疫学概况模式。
3）人CRC中的单细胞分析鉴定出与肿瘤相关的巨噬细胞和T细胞的表型和功能多样性。
Profiling heterologous cell types within tumors is essential to decipher tumor microenvironment that shapes tumor progress and determines the outcome of therapeutic response. Here, we comprehensively characterized transcriptomes of 34,037 single cells obtained from 12 treatment‐naïve patients with colorectal cancer. Our comprehensive evaluation revealed attenuated B‐cell antigen presentation, distinct regulatory T‐cell clusters with different origin and novel polyfunctional tumor associated macrophages associated with CRC. Moreover, we identified expanded XCL1+ T‐cell clusters associated with tumor mutational burden high status. We further explored the underlying molecular mechanisms by profiling epigenetic landscape and inferring transcription factor motifs using single‐cell ATAC‐seq. Our dataset and analysis approaches herein provide a rich resource for further study of the impact of immune cells and translational research for human colorectal cancer. 1) Single‐cell profiling of clinical samples of 12 human colorectal cancer patients. 2) Tumor mutational burden states of human CRC contribute to distinct immune profile patterns. 3) Single‐cell analysis in human CRC identified phenotypic and functional diversity of tumor‐associated macrophages and T cells.
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影响因子：
16.6
作者：
Jia G;Preussner J;Chen X;Guenther S;Yuan X;Yekelchyk M;Kuenne C;Looso M;Zhou Y;Teichmann S;Braun T
通讯作者：
Braun T
影响因子：
64.8
作者：
Helmink BA;Reddy SM;Gao J;Zhang S;Basar R;Thakur R;Yizhak K;Sade-Feldman M;Blando J;Han G;Gopalakrishnan V;Xi Y;Zhao H;Amaria RN;Tawbi HA;Cogdill AP;Liu W;LeBleu VS;Kugeratski FG;Patel S;Davies MA;Hwu P;Lee JE;Gershenwald JE;Lucci A;Arora R;Woodman S;Keung EZ;Gaudreau PO;Reuben A;Spencer CN;Burton EM;Haydu LE;Lazar AJ;Zapassodi R;Hudgens CW;Ledesma DA;Ong S;Bailey M;Warren S;Rao D;Krijgsman O;Rozeman EA;Peeper D;Blank CU;Schumacher TN;Butterfield LH;Zelazowska MA;McBride KM;Kalluri R;Allison J;Petitprez F;Fridman WH;Sautès-Fridman C;Hacohen N;Rezvani K;Sharma P;Tetzlaff MT;Wang L;Wargo JA
通讯作者：
Wargo JA
影响因子：
28.2
作者：
Kieffer, Yann;Hocine, Hocine R.;Mechta-Grigoriou, Fatima
通讯作者：
Mechta-Grigoriou, Fatima
影响因子：
64.8
作者：
Cabrita, Rita;Lauss, Martin;Jonsson, Goran
通讯作者：
Jonsson, Goran
影响因子：
82.9
作者：
Binnewies M;Roberts EW;Kersten K;Chan V;Fearon DF;Merad M;Coussens LM;Gabrilovich DI;Ostrand-Rosenberg S;Hedrick CC;Vonderheide RH;Pittet MJ;Jain RK;Zou W;Howcroft TK;Woodhouse EC;Weinberg RA;Krummel MF
通讯作者：
Krummel MF