Stratification of chemotherapy-treated stage III colorectal cancer patients using multiplexed imaging and single-cell analysis of T-cell populations.
Colorectal cancer (CRC) has one of the highest cancer incidences and mortality rates. In stage III, postoperative chemotherapy benefits <20% of patients, while more than 50% will develop distant metastases. Biomarkers for identification of patients at increased risk of disease recurrence following a...
| Published in: | Modern Pathology Vol. 35; no. 4; pp. 564 - 577 |
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| Main Authors: | , , , , , , , , , , , , , , , , , , , |
| Format: | pictorial research tables/charts Journal Article |
| Published: |
Elsevier B.V.
Apr2022
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=156025463&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 156025463 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08933952 UNB jtl: Modern Pathology issn: 08933952 maglogo: N pubinfo: dt: Apr2022 vid: 35 iid: 4 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 156025463 156025463 NLM34732839 156025463 10.1038/s41379-021-00953-0 NLM34732839 156025463 ppf: 564 ppct: 13 formats: tig: atl: Stratification of chemotherapy-treated stage III colorectal cancer patients using multiplexed imaging and single-cell analysis of T-cell populations. aug: au: Stachtea, Xanthi Loughrey, Maurice B. Salvucci, Manuela Lindner, Andreas U. Cho, Sanghee McDonough, Elizabeth Sood, Anup Graf, John Santamaria-Pang, Alberto Corwin, Alex Laurent-Puig, Pierre Dasgupta, Sonali Shia, Jinru Owens, Jonathan R. Abate, Samantha Van Schaeybroeck, Sandra Lawler, Mark Prehn, Jochen H. M. Ginty, Fiona Longley, Daniel B. affil: Patrick G. Johnston Centre for Cancer Research, School of Medicine, Dentistry and Biomedical Science, Queen's University Belfast, Northern Ireland, UK sug: subj: Cytological Techniques Colorectal Neoplasms Pathology Prognosis Chemotherapy, Adjuvant Cell Physiology Proteins Neoplasm Recurrence, Local Pathology Neoplasm Staging Funding Source Human ab: Colorectal cancer (CRC) has one of the highest cancer incidences and mortality rates. In stage III, postoperative chemotherapy benefits <20% of patients, while more than 50% will develop distant metastases. Biomarkers for identification of patients at increased risk of disease recurrence following adjuvant chemotherapy are currently lacking. In this study, we assessed immune signatures in the tumor and tumor microenvironment (TME) using an in situ multiplexed immunofluorescence imaging and single-cell analysis technology (Cell DIVETM) and evaluated their correlations with patient outcomes. Tissue microarrays (TMAs) with up to three 1 mm diameter cores per patient were prepared from 117 stage III CRC patients treated with adjuvant fluoropyrimidine/oxaliplatin (FOLFOX) chemotherapy. Single sections underwent multiplexed immunofluorescence staining for immune cell markers (CD45, CD3, CD4, CD8, FOXP3, PD1) and tumor/cell segmentation markers (DAPI, pan-cytokeratin, AE1, NaKATPase, and S6). We used annotations and a probabilistic classification algorithm to build statistical models of immune cell types. Images were also qualitatively assessed independently by a Pathologist as 'high', 'moderate' or 'low', for stromal and total immune cell content. Excellent agreement was found between manual assessment and total automated scores (p < 0.0001). Moreover, compared to single markers, a multi-marker classification of regulatory T cells (Tregs: CD3+/CD4+FOXP3+/PD1-) was significantly associated with disease-free survival (DFS) and overall survival (OS) (p = 0.049 and 0.032) of FOLFOX-treated patients. Our results also showed that PD1- Tregs rather than PD1+ Tregs were associated with improved survival. These findings were supported by results from an independent FOLFOX-treated cohort of 191 stage III CRC patients, where higher PD1- Tregs were associated with an increase overall survival (p = 0.015) for CD3+/CD4+/FOXP3+/PD1-. Overall, compared to single markers, multi-marker classification provided more accurate quantitation of immune cell types with stronger correlations with outcomes. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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