Buchwald, Zachary S.

Abstract Triple-Negative Breast Cancer (TNBC) presents a significant clinical challenge due to its heterogeneity and lack of targeted treatment options, with chemotherapy and immunotherapy combinations currently serving as the main therapeutic strategy. Efforts to address TNBC heterogeneity have largely focused on classifying intrinsic cancer subtypes based on differential tumor mRNA expression, a strategy that has proven effective in hormone receptor-positive breast cancers but has yet to yield a clinically useful predictor of survival or treatment response in TNBC. We hypothesize that both the intrinsic characteristics of TNBC and the surrounding immune microenvironment influence treatment outcomes and that immune cell infiltration affects TNBC subtype classification and response variability. To explore this hypothesis, we compared the predictive and prognostic capabilities of cancer subtype-based (TNBC-type) gene signatures and immune cell deconvolution methods (CIBERSORT) within the same TNBC datasets. We found that immune cell abundance outperformed TNBC subtype-signatures and multicellular immune cell aggregates showed the highest performance of all. More specifically, aggregate immune cells associated with tertiary lymphoid structures and tumor associated macrophages/monocytes demonstrated statistically significant predictive value. These findings were confirmed in an independent cohort of 67 TNBC patients treated with neoadjuvant chemotherapy. Further, single-cell RNA sequencing analysis revealed that the predictive power of cancer-subtype could be partially explained by immune- and stromal features. Examination of single-cell resolution spatial transcriptomic data confirmed presence of TLS-like, TAM- and cancer-stromal niches within TNBC biopsy samples that were associated with treatment response. Overall, our results highlight that immune cell aggregates, which capture the spatial organization of the TME, outperform cell-type specific gene signatures in predicting TNBC outcomes. Our novel approach provides a robust framework for interpreting spatial relationships in bulk RNA-seq data, offering a pathway for reconciling past data with current advancements in spatial profiling technologies. This work paves the way for future studies to leverage the multi-cellular complexity of TNBC, enhancing diagnostic precision and facilitating the development of therapies that strategically modulate the tumor microenvironment for improved anti-cancer responses.

Abstract The CD8 + T-cell response is prognostic for survival outcomes in several tumor types. However, whether this extends to tumors in the brain, an organ with barriers to T cell entry, remains unclear. Here, we analyzed immune infiltration in 67 brain metastasis (BrM) and found high frequencies of PD1 + TCF1 + stem-like CD8 + T-cells and TCF1- effector-like cells. Importantly, the stem-like cells aggregate with antigen presenting cells in immune niches, and niches were prognostic for local disease control. Standard of care for BrM is resection followed by stereotactic radiosurgery (SRS), so to determine SRS’s impact on the BrM immune response, we examined 76 BrM treated with pre-operative SRS (pSRS). pSRS acutely reduced CD8 + T cells at 3 days. However, CD8 + T cells rebounded by day 6, driven by increased frequency of effector-like cells. This suggests that the immune response in BrM can be regenerated rapidly, likely by the local TCF1 + stem-like population.

2524 Background: Postoperative radiosurgery (SRS) has been associated with up to 30% risk of subsequent leptomeningeal disease (LMD). We previously demonstrated that radiographic pattern of LMD (classical “sugarcoating” [cLMD] vs. nodular [nLMD]) in this setting is prognostic. The association between radiographic pattern of LMD, type of salvage treatment (tx), and neurologic death (ND) has not been well described. Methods: The records of patients (pts) with brain metastases (BM), of which 1 was resected and treated with adjunctive SRS, and who subsequently developed LMD were combined from 7 tertiary care centers. Pts with classically radiosensitive tumors or prior or planned whole brain radiotherapy (WBRT) were excluded. ND was defined as symptomatic CNS progression around the time of death without life threatening systemic symptoms or progression. Salvage radiotherapy (RT) for LMD was categorized according to use of WBRT vs. focal cranial RT. Results: The study cohort consisted of 147 pts, of which 125 had died with known cause, 107 also received LMD salvage tx, and 82 also had cranial MRI follow-up. The ND rate in the 125 pts who died with known cause was 79%; the rate in pts who underwent LMD salvage tx (n = 107) was 76%. Univariate logistic regression demonstrated radiographic pattern of LMD (cLMD vs. nLMD, odds ratio [OR] 2.9, p = 0.04) and 2nd LMD failure after salvage tx (OR 3.9, p = 0.02) as significantly associated with ND. The ND rate was 86% for cLMD vs. 68% for nLMD pattern. WBRT was used in 95% of pts with cLMD vs. 52% of pts with nLMD. In the nLMD cohort (n = 58), there was no difference in ND rate based on type of salvage RT (WBRT: 67% vs. focal cranial RT: 68%, p = 0.92). Second LMD failure (vs. not) was associated with higher ND in the nLMD cohort (77% vs. 52%, p = 0.02). Of the 26 pts with nLMD who experienced 2nd LMD failure, 7 had classical 2nd LMD, of which 100% experienced ND, and 19 had nodular 2nd LMD, of which 68% experienced ND (p = 0.09). Conclusions: LMD after surgery and SRS for brain metastases is a clinically significant event with high rates of neurologic death. Classical LMD pattern (vs. nodular) and 2nd LMD failure after salvage tx were significantly associated with higher risk of neurologic death. In the nodular LMD cohort, radiographic pattern of 2nd LMD may be associated with risk of subsequent neurologic death. Pts with nodular LMD treated with salvage focal cranial RT or WBRT had similar risk of neurologic death. Methods to decrease LMD and the subsequent high risk of neurologic death in this setting warrant investigation.