Qualification of a multiplexed tissue imaging assay and detection of novel patterns of HER2 heterogeneity in breast cancer.
Qualification of a multiplexed tissue imaging assay and detection of novel patterns of HER2 heterogeneity in breast cancer.
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DOI:
10.1038/s41523-023-00605-3
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发表时间:
2024-01-02
影响因子:
5.9
通讯作者:
Santagata, Sandro
中科院分区:
文献类型:
--
作者:
Guerriero, Jennifer L.;Lin, Jia-Ren;Pastorello, Ricardo G.;Du, Ziming;Chen, Yu-An;Townsend, Madeline G.;Shimada, Kenichi;Hughes, Melissa E.;Ren, Siyang;Tayob, Nabihah;Zheng, Kelly;Mei, Shaolin;Patterson, Alyssa;Taneja, Krishan L.;Metzger, Otto;Tolaney, Sara M.;Lin, Nancy U.;Dillon, Deborah A.;Schnitt, Stuart J.;Sorger, Peter K.;Mittendorf, Elizabeth A.;Santagata, Sandro
Emerging data suggests that HER2 intratumoral heterogeneity (ITH) is associated with therapy resistance, highlighting the need for new strategies to assess HER2 ITH. A promising approach is leveraging multiplexed tissue analysis techniques such as cyclic immunofluorescence (CyCIF), which enable visualization and quantification of 10–60 antigens at single-cell resolution from individual tissue sections. In this study, we qualified a breast cancer-specific antibody panel, including HER2, ER, and PR, for multiplexed tissue imaging. We then compared the performance of these antibodies against established clinical standards using pixel-, cell- and tissue-level analyses, utilizing 866 tissue cores (representing 294 patients). To ensure reliability, the CyCIF antibodies were qualified against HER2 immunohistochemistry (IHC) and fluorescence in situ hybridization (FISH) data from the same samples. Our findings demonstrate the successful qualification of a breast cancer antibody panel for CyCIF, showing high concordance with established clinical antibodies. Subsequently, we employed the qualified antibodies, along with antibodies for CD45, CD68, PD-L1, p53, Ki67, pRB, and AR, to characterize 567 HER2+ invasive breast cancer samples from 189 patients. Through single-cell analysis, we identified four distinct cell clusters within HER2+ breast cancer exhibiting heterogeneous HER2 expression. Furthermore, these clusters displayed variations in ER, PR, p53, AR, and PD-L1 expression. To quantify the extent of heterogeneity, we calculated heterogeneity scores based on the diversity among these clusters. Our analysis revealed expression patterns that are relevant to breast cancer biology, with correlations to HER2 ITH and potential relevance to clinical outcomes.
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DOI:
10.1158/1078-0432.ccr-20-3089
发表时间:
2021-02-15
期刊:
Clinical cancer research : an official journal of the American Association for Cancer Research
影响因子:
--
作者:
Keenan TE;Li T;Vallius T;Guerriero JL;Tayob N;Kochupurakkal B;Davis J;Pastorello R;Tahara RK;Anderson L;Conway J;He MX;Shannon E;Godin RE;Sorger PK;D'Andrea A;Overmoyer B;Winer EP;Mittendorf EA;Van Allen EM;Shapiro GI;Tolaney SM
通讯作者:
Tolaney SM
影响因子:
3.5
作者:
Lee, Hee Jin;Kim, Joo Young;Gong, Gyungyub
通讯作者:
Gong, Gyungyub
影响因子:
--
作者:
Lee, Hee Jin;Song, In Hye;Gong, Gyungyub
通讯作者:
Gong, Gyungyub
影响因子:
3.4
作者:
Baros, Ilija Vladimir;Tanaskovic, Natsa;Tot, Tibor
通讯作者:
Tot, Tibor
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