Abstract 1210: Integrated spatial and single-cell profiling uncovers a pre-existing, treatment-resistant subclone that drives early local relapse in luminal breast cancer.

Abstract Background: Early local relapse during adjuvant endocrine therapy in hormone receptor (HR)-positive breast cancer, although uncommon, may reflect selection of pre-existing subclonal populations with intrinsic resistance. While endocrine resistance has been linked to aberrant cell-cycle activation and attenuated estrogen signaling, the spatial organization and transcriptional evolution of resistant subclones within tumors remain insufficiently resolved. Methods: We performed multimodal profiling of paired primary and early local-relapse tumor specimens using the 10x Visium and Xenium spatial transcriptomics platforms. Additionally, a diagnostic core-needle biopsy obtained from the relapse lesion before resection underwent single-cell (sc) RNA sequencing. Spatial inferCNV was applied to Visium data to delineate clonal architecture and identify putative malignant subclones in an unbiased manner. Clone-specific transcriptional programs were characterized through differential expression and pathway enrichment analyses. Gene signatures derived from relapse scRNA-seq clusters were computationally projected onto the matched spatial transcriptomics data to map subclone-specific transcriptional phenotypes with high spatial resolution. Xenium profiling of the primary tumor was used to evaluate local microenvironmental features associated with resistant and responsive clones. Results: Spatial inferCNV revealed marked clonal remodeling between the primary and relapse tumors: a minor primary-tumor subclone with distinct copy-number features expanded disproportionately and became the dominant malignant population at relapse. scRNA-seq demonstrated that transcriptional clusters corresponding to this conserved clone exhibited increased E2F target and G2/M checkpoint activity, concomitant with reduced estrogen-responsive signaling, consistent with an estrogen-independent proliferative phenotype. Single-cell resolution analysis of Xenium data from the primary tumor revealed that regions enriched for the resistant clone exhibited lower T-lymphocyte density compared to areas dominated by treatment-responsive subclones, suggesting early spatial segregation and microenvironmental differences that may have facilitated selective survival under endocrine therapy. Conclusions: This integrated spatial and single-cell analysis of a rare rapid-relapse HR-positive breast cancer case demonstrates that a transcriptionally distinct, estrogen-independent, E2F-driven subclone was already embedded within the primary tumor and later seeded early local recurrence. These findings highlight the power of multimodal transcriptomics to uncover clinically occult resistant subclones and provide a framework for identifying patients at risk of early relapse despite standard adjuvant endocrine therapy. Citation Format: Kazutaka Otsuji, Tomo Osako, Yoko Takahashi, Chikako Shibata, Sumito Saeki, Asumi Iesato, Tetsuo Noda, Kengo Takeuchi, Takayuki Ueno, Reo Maruyama. Integrated spatial and single-cell profiling uncovers a pre-existing, treatment-resistant subclone that drives early local relapse in luminal breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 1210.

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Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-1210
Primary Topic
Single-cell and spatial transcriptomics
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article
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article

Abstract 1210: Integrated spatial and single-cell profiling uncovers a pre-existing, treatment-resistant subclone that drives early local relapse in luminal breast cancer.

Kengo Takeuchi, Asumi Iesato, Takayuki Ueno, Kazutaka Otsuji et al.
Cancer Research
Single-cell and spatial transcriptomics
article

Abstract 1210: Integrated spatial and single-cell profiling uncovers a pre-existing, treatment-resistant subclone that drives early local relapse in luminal breast cancer.

Kengo Takeuchi, Asumi Iesato, Takayuki Ueno, Kazutaka Otsuji, Yu Takahashi, Chikako Shibata, Tetsuo Noda, Tomo Osako, Reo Maruyama, Sumito Saeki
article en

Abstract

Abstract Background: Early local relapse during adjuvant endocrine therapy in hormone receptor (HR)-positive breast cancer, although uncommon, may reflect selection of pre-existing subclonal populations with intrinsic resistance. While endocrine resistance has been linked to aberrant cell-cycle activation and attenuated estrogen signaling, the spatial organization and transcriptional evolution of resistant subclones within tumors remain insufficiently resolved. Methods: We performed multimodal profiling of paired primary and early local-relapse tumor specimens using the 10x Visium and Xenium spatial transcriptomics platforms. Additionally, a diagnostic core-needle biopsy obtained from the relapse lesion before resection underwent single-cell (sc) RNA sequencing. Spatial inferCNV was applied to Visium data to delineate clonal architecture and identify putative malignant subclones in an unbiased manner. Clone-specific transcriptional programs were characterized through differential expression and pathway enrichment analyses. Gene signatures derived from relapse scRNA-seq clusters were computationally projected onto the matched spatial transcriptomics data to map subclone-specific transcriptional phenotypes with high spatial resolution. Xenium profiling of the primary tumor was used to evaluate local microenvironmental features associated with resistant and responsive clones. Results: Spatial inferCNV revealed marked clonal remodeling between the primary and relapse tumors: a minor primary-tumor subclone with distinct copy-number features expanded disproportionately and became the dominant malignant population at relapse. scRNA-seq demonstrated that transcriptional clusters corresponding to this conserved clone exhibited increased E2F target and G2/M checkpoint activity, concomitant with reduced estrogen-responsive signaling, consistent with an estrogen-independent proliferative phenotype. Single-cell resolution analysis of Xenium data from the primary tumor revealed that regions enriched for the resistant clone exhibited lower T-lymphocyte density compared to areas dominated by treatment-responsive subclones, suggesting early spatial segregation and microenvironmental differences that may have facilitated selective survival under endocrine therapy. Conclusions: This integrated spatial and single-cell analysis of a rare rapid-relapse HR-positive breast cancer case demonstrates that a transcriptionally distinct, estrogen-independent, E2F-driven subclone was already embedded within the primary tumor and later seeded early local recurrence. These findings highlight the power of multimodal transcriptomics to uncover clinically occult resistant subclones and provide a framework for identifying patients at risk of early relapse despite standard adjuvant endocrine therapy. Citation Format: Kazutaka Otsuji, Tomo Osako, Yoko Takahashi, Chikako Shibata, Sumito Saeki, Asumi Iesato, Tetsuo Noda, Kengo Takeuchi, Takayuki Ueno, Reo Maruyama. Integrated spatial and single-cell profiling uncovers a pre-existing, treatment-resistant subclone that drives early local relapse in luminal breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 1210.

Cancer ResearchVol. 86(7_Supplement)
Japanese Foundation For Cancer Research (JP)
Good health and well-being
Openalex Percentile: Top 8%
Single-cell and spatial transcriptomics
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