<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-22T10:40:16Z</responseDate><request verb="GetRecord" identifier="oai:www.repository.cam.ac.uk:1810/398511" metadataPrefix="uketd_dc">https://api.repository.cam.ac.uk/server/oai/request</request><GetRecord><record><header><identifier>oai:www.repository.cam.ac.uk:1810/398511</identifier><datestamp>2026-02-24T01:42:01Z</datestamp><setSpec>com_1810_245118</setSpec><setSpec>com_1810_34581</setSpec><setSpec>col_1810_245119</setSpec></header><metadata><uketd_dc:uketddc xmlns:uketd_dc="http://naca.central.cranfield.ac.uk/ethos-oai/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:uketdterms="http://naca.central.cranfield.ac.uk/ethos-oai/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://naca.central.cranfield.ac.uk/ethos-oai/2.0/ http://naca.central.cranfield.ac.uk/ethos-oai/2.0/uketd_dc.xsd">
   <dc:title>Mapping the spatial organisation of B cells and immune signalling in TNBC to characterise response to immunotherapy</dc:title>
   <dc:identifier xsi:type="dcterms:DOI">https://doi.org/10.17863/CAM.127346</dc:identifier>
   <dc:creator>Ahmad, Lubna</dc:creator>
   <uketdterms:advisor>Ali, Raza</uketdterms:advisor>
   <dcterms:abstract>In recent years, B cells and tertiary lymphoid structures (TLS) have emerged as key predictors
of immunotherapy response across multiple cancers. B cells exist in various states of spatial
organisation within the tumour microenvironment (TME), which likely support many of their
functional roles. However, the landscape of B cell spatial organisation in cancer and specifically
in triple-negative breast cancer (TNBC) is poorly characterised. Organisation and function
are processes that are likely orchestrated by diverse immune signalling, but what the interplay
between organisation and its underlying signalling is, remains largely uncharacterised in cancer,
underscoring the need for a comprehensive and systematic investigation.

To characterise the spatial landscape of B cells and immune signalling, we implemented a
novel approach for the simultaneous detection of protein and RNA in situ using imaging mass
cytometry. We applied this assay to a randomised immunotherapy clinical trial, NeoTRIP,
in which patients with TNBC were treated with atezolizumab. Samples were collected from
268 patients at three timepoints: baseline, on-treatment, and post-treatment. This study found
that numerous B and Plasma cell densities were significantly associated with response to
immunotherapy on-treatment. We showed that distinct B and plasma cell niches exist in TNBC,
and that specifically, Germinal centre (GC) and B activated niche cell densities were a strong
predictor of immunotherapy response. Additionally, we found that many B and plasma to
TME interactions were also enriched among immunotherapy responders. These findings were
complemented by strong treatment-induced cellular dynamics. Strikingly, the most marked
increase in cell phenotype abundance in immunotherapy responders was observed in B cells,
suggesting that, specifically, effective immunotherapy is inducing the expansion of B cells
following treatment. We subsequently showed that cytokines behave in a spatially coordinated
manner in the TME, being significantly enriched in the vicinity of the observed B and plasma
cell niches. Cytokine expression mirrored the observed immune expansion seen on-treatment
and was also associated with response. Specifically, cytokine-enriched niches appeared to be
a feature of immunotherapy responders, suggesting that together organisation and signalling
play an important role in treatment responses. Together, our findings highlight a previously
unexplored diversity of B cell spatial organisation and its associated immune signalling in TNBC,
most importantly showing that B cells are strong predictors of immunotherapy response.</dcterms:abstract>
   <uketdterms:institution>University of Cambridge</uketdterms:institution>
   <dcterms:issued>2025-09-30</dcterms:issued>
   <dc:type>Thesis</dc:type>
   <uketdterms:qualificationlevel>Doctoral</uketdterms:qualificationlevel>
   <uketdterms:qualificationname>Doctor of Philosophy (PhD)</uketdterms:qualificationname>
   <dc:language>eng</dc:language>
   <dcterms:isReferencedBy xsi:type="dcterms:URI">https://www.repository.cam.ac.uk/handle/1810/398511</dcterms:isReferencedBy>
   <uketdterms:embargotype>embargo</uketdterms:embargotype>
   <uketdterms:embargodate>2027-02-23</uketdterms:embargodate>
   <dc:identifier xsi:type="dcterms:URI">https://www.repository.cam.ac.uk/bitstreams/66a1bfc8-4b9a-485b-9aed-7dd293c59a4b/download</dc:identifier>
   <uketdterms:checksum xsi:type="uketdterms:MD5">69c35e966ba08858db85e5f80a0b4526</uketdterms:checksum>
   <dcterms:license>https://www.repository.cam.ac.uk/bitstreams/7f1c8084-8806-4393-a670-0b067dac5bb9/download</dcterms:license>
   <uketdterms:checksum xsi:type="uketdterms:MD5">87eda9de84448d1f82354d60eee3eb5f</uketdterms:checksum>
   <dc:rights>http://purl.org/NET/rdflicense/allrightsreserved</dc:rights>
   <dc:subject>B cell</dc:subject>
   <dc:subject>Breast Cancer</dc:subject>
   <dc:subject>Imaging</dc:subject>
   <dc:subject>Immunotherapy</dc:subject>
   <dc:subject>Spatial biology</dc:subject>
   <dc:subject>Spatial organisation</dc:subject>
   <dc:subject>TNBC</dc:subject>
   <dc:subject>Treatment response</dc:subject>
</uketd_dc:uketddc>
</metadata></record></GetRecord></OAI-PMH>