Quantitative Multiplex Immunohistochemistry Reveals Myeloid-Inflamed Tumor-Immune Complexity Associated with Poor Prognosis.
Quantitative Multiplex Immunohistochemistry Reveals Myeloid-Inflamed Tumor-Immune Complexity Associated with Poor Prognosis.
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定量多重免疫组织化学揭示了与不良预后相关的骨髓炎症肿瘤免疫复杂性。
DOI:
10.1016/j.celrep.2017.03.037
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发表时间:
2017-04-04
期刊:
影响因子:
8.8
通讯作者:
Coussens LM
中科院分区:
文献类型:
--
作者:
Tsujikawa T;Kumar S;Borkar RN;Azimi V;Thibault G;Chang YH;Balter A;Kawashima R;Choe G;Sauer D;El Rassi E;Clayburgh DR;Kulesz-Martin MF;Lutz ER;Zheng L;Jaffee EM;Leyshock P;Margolin AA;Mori M;Gray JW;Flint PW;Coussens LM
Here we describe a multiplexed immunohistochemical platform, with computational image processing workflows including image cytometry, enabling simultaneous evaluation of 12 biomarkers in one formalin-fixed paraffin-embedded tissue section. To validate this platform, we used tissue microarrays containing 38 archival head and neck squamous cell carcinomas, and revealed differential immune profiles based on lymphoid and myeloid cell densities, correlating with human papilloma virus status and prognosis. Based on these results, we investigated 24 pancreatic ductal adenocarcinomas from patients who received neoadjuvant GVAX vaccination, and revealed that response to therapy correlated with degree of mono-myelocytic cell density, and percentages of CD8+ T cells expressing T cell exhaustion markers. These data highlight the utility of in situ immune monitoring for patient stratification, and provide digital image processing pipelines (https://github.com/multiplexIHC/cppipe) to the community for examining immune complexity in precious tissue sections, where phenotype and tissue architecture are preserved to thus improve biomarker discovery and assessment.
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影响因子:
13
作者:
Ruffell, Brian;DeNardo, David G.;Affara, Nesrine I.;Coussens, Lisa M.
通讯作者:
Coussens, Lisa M.
DOI:
10.1038/nrc3239
发表时间:
2012-03-22
期刊:
Nature reviews. Cancer
影响因子:
--
作者:
Pardoll DM
通讯作者:
Pardoll DM
影响因子:
12.3
作者:
Carpenter AE;Jones TR;Lamprecht MR;Clarke C;Kang IH;Friman O;Guertin DA;Chang JH;Lindquist RA;Moffat J;Golland P;Sabatini DM
通讯作者:
Sabatini DM
影响因子:
45.3
作者:
Thurlow, Johanna K.;Murillo, Claudia L. Pena;Kalna, Gabriela
通讯作者:
Kalna, Gabriela
影响因子:
3.2
作者:
Glass, George;Papin, Jason A.;Mandell, James W.
通讯作者:
Mandell, James W.