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        <datestamp>2026-09-14T11:43:42Z</datestamp>
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          <dc:title>Supplementary file 1_HIV-associated immune remodeling in cervical cancer: implications for immunotherapy, biomarkers, and trial design.docx</dc:title>
          <dc:creator>Li Huang (107408)</dc:creator>
          <dc:creator>Yi Wan (296606)</dc:creator>
          <dc:creator>Zhou Yang (329522)</dc:creator>
          <dc:creator>Zhuo Zhou (128682)</dc:creator>
          <dc:creator>Manna Zhang (10232115)</dc:creator>
          <dc:subject>Genetic Immunology</dc:subject>
          <dc:subject>biomarkers</dc:subject>
          <dc:subject>cervical cancer</dc:subject>
          <dc:subject>HIV</dc:subject>
          <dc:subject>human papillomavirus</dc:subject>
          <dc:subject>immune checkpoint inhibitors</dc:subject>
          <dc:subject>mucosal immunity</dc:subject>
          <dc:subject>T-cell exhaustion</dc:subject>
          <dc:subject>tumor immune microenvironment</dc:subject>
          <dc:description>&lt;p&gt;Women living with HIV experience a disproportionate burden of persistent high-risk human papillomavirus infection and cervical cancer, yet they remain underrepresented in pivotal immunotherapy trials. Consequently, the effects of HIV-associated immune remodeling on the cervical cancer tumor immune microenvironment, biomarker interpretation, and response to immune checkpoint inhibition remain poorly defined. In this Review, we synthesize evidence concerning chronic inflammation, T-cell dysfunction and exhaustion, impaired antigen presentation, myeloid-mediated immunosuppression, and mucosal and microbial disruption in cervical cancer among women living with HIV. Because direct evidence in this population remains limited, we distinguish findings derived from HIV-associated cervical cancer from supporting evidence obtained in other HIV-associated malignancies, HIV-negative cervical cancer, and broader studies of HIV, HPV, and mucosal immunology. We propose a provisional inflamed, exhausted, and mucosally disrupted (IEM) framework to organize these interacting immune processes and generate hypotheses for prospective validation. This framework highlights why conventional biomarkers, including PD-L1 expression and peripheral CD4 T-cell counts, may incompletely capture immunotherapy-relevant immune heterogeneity and supports the evaluation of multidimensional biomarkers. We further discuss how the proposed framework could inform mechanism-matched therapeutic hypotheses and a novel two-dimensional clinical trial stratification model, while explicitly emphasizing that IEM is not yet a validated clinical phenotype or routine treatment-selection tool. Prospective studies incorporating women living with HIV are required to determine whether these immune features predict immunotherapy efficacy or toxicity and to establish more inclusive, biologically informed clinical-trial strategies.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-14T11:43:42Z</dc:date>
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          <dc:identifier>10.3389/fimmu.2026.1953030.s001</dc:identifier>
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