Thompson, E. Aubrey

Abstract Background: The importance of the antitumor immune response in TNBC is well established. TNBC with higher TILs are less likely to recur and more responsive to systemic therapy. Likewise, PD-L1+ TNBC are more likely to benefit from chemoimmunotherapy. However, TNBC is highly heterogeneous. Of the TNBC molecular subtypes, LAR TNBC is less sensitive to systemic therapy, has lower TILs and lower rates of PD-L1 positivity. The role of other immune related proteins in LAR TNBC is not well established. Here, we evaluated differentially expressed (DE) immune related proteins in the stromal and intratumoral compartments of LAR vs non-LAR TNBC tumors. Methods: We used the Nanostring GeoMX DSP platform to quantitate 58 proteins within spatially distinct intraepithelial, cytokeratin (CK)-positive tumor segments and adjacent CK-negative/nuclei-positive stromal segments in 248 TNBC tumors included in a tissue microarray generated from a cohort of pts with centrally confirmed TNBC who underwent breast surgery without prior neoadjuvant therapy. A subset (n=111) underwent bulk tumor RNA sequencing and were classified as LAR or non-LAR TNBC. DE proteins were identified using a negative binomial generalized linear model (SNR>2, p<0.05). A targeted set of DE proteins was dichotomized at the 80th percentile. Results: Of 111 TNBC tumors, 17 (15%) were LAR and 94 (85%) non-LAR. Compared to non-LAR TNBC, pts with LAR TNBC were older (age ≥50: 82% vs 52%, p<0.01), with tumors that were more often of apocrine histology (35% vs 0%, p <0.01), grade 1-2 (24% vs 1%, p<0.01), and had lower Ki67 (Ki67 ≤15: 24% vs 11%, p=0.06). Most tumors were T1-2 (94% vs 93%, p=0.82) and N0 (53% vs 62%, p=0.09), respectively. As expected, expression of most immune-related proteins was higher in the stromal vs the intratumoral compartment for both LAR and non-LAR TNBC. When focusing on the stromal compartment, expression of multiple immune related proteins was significantly lower in LAR compared to non-LAR TNBC, including the pan-leukocyte marker CD45 (log-2 fold change [log2FC]: 0.552, p=0.05), the macrophage marker CD14 (log2FC: 0.834, p=0.06), CD44 (lof2FC: 0.637, p=0.07), and the immune checkpoint proteins IDO1 (log2FC: 0.914, p=0.04), VISTA (log2FC: 0.471, p=0.07), ICOS (log2FC: 0.444, p=0.08), and STING (log2FC: 0.544, p=0.09). Proteins with expression levels too low for comparisons included PD-L1, LAG3, FOXP3 and BCL-2. When focusing on the intratumoral compartment, expression of most immune-related proteins was very low in both LAR and non-LAR TNBC. Like in the stromal compartment, CD45 expression was lower in LAR TNBC (log2FC: 0.78, p=0.02). Expression of the immune checkpoint B7-H3 was lower in LAR TNBC (log2FC: 0.737, p=0.02), while expression of the T cell marker CD127 was higher (log2FC: -0.528, p=0.34). With regards to relevant non-immune markers, expression of Ki67 was lower in LAR TNBC (log2FC: 0.5498, p=0.05), consistent with the clinical assay. Conclusion: In this ultra high-plex spatial analysis, we provide first insights into the differential expression at the protein level of several targetable immune checkpoint molecules in LAR vs non-LAR TNBC. The lower expression of several immune related proteins in LAR TNBC is consistent with the hypothesis that LAR TNBC exhibits a “cold” immune microenvironment compared to other TNBC subtypes, potentially rendering itself less susceptible to immunotherapy-based strategies. These data support the need to consider TNBC molecular subtypes in future evaluations of immune-based therapeutic approaches. Funding: This work was supported by NIH grant P50CA116201 to RLF, JMC, KRK, FJC, DZ, JNI, and MPG; BCRF grant 19-161 to EAT and NCATS grant CTSA KL2 TR002379 to RLF. The contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH Citation Format: Roberto A Leon-Ferre, Jodi M. Carter, David M. Zahrieh, David W. Hillman, Saranya Chumsri, Yaohua Ma, Jennifer M. Kachergus, Xue Wang, Judy C. Boughey, Minetta C. Liu, James N. Ingle, Krishna R. Kalari, Jose C. Villasboas Bisneto, Fergus J. Couch, E. Aubrey Thompson, Matthew P. Goetz. Digital spatial profiling of immune-related proteins in luminal androgen receptor (LAR) vs non-LAR triple-negative breast cancer (TNBC) [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P1-04-01.

Abstract Existing risk models underperform among women who have undergone a benign breast disease (BBD) biopsy (> one million performed annually in the US) and with respect to estimating the risk of aggressive BCs. We've shown that molecular pathologic analysis of BBD biopsies can improve individual risk prediction, compared with standard risk models relying on self-reported factors, and provide insights into mechanisms mediating BC risk. BC risk factors such as obesity and ethanol use are proposed to increase production of cytokines and chemokines, resulting in chronic inflammation, and leading to production of DNA damaging free radicals and growth factors (e.g., VEGF, IGFs) that activate pro-carcinogenic pathways (e.g. NF-KB and JAK/STAT). The effects of most BC risk factors on immunity are poorly understood. Further, whereas experimental models implicate immunity throughout carcinogenesis, knowledge of immune markers and mechanisms related to BC development among women is limited. Therefore, we aim to define tissue immune cell content throughout BC development, and particularly at the earliest stages, to improve risk assessment and discover immune-based prevention strategies. Our study combines novel resources and technologies to define the immune landscape in: 1) normal breast tissues in relation to BC risk factors, 2) BBD with respect to BC risk, and 3) invasive BC in relation to neoantigen expression and molecular subtype. We will perform NanoString GeoMxTM Digital Spatial Profiling (DSP) to quantitatively map expression of key immune proteins in healthy breast tissues donated to the Komen Tissue Bank (KTB) in relation to BC risk factors and in BBD biopsies from two cohorts to predict BC risk. We will re-analyze top prognostic markers in BBD biopsies using Vectra multiplex IF staining with machine learning algorithms to refine how immune cell content and organization impacts prognosis, and assess critical immune pathways related to BBD progression with the NanoString PanCancer IO 360 panel, which provides RNA expression of 770 immune genes (13 signatures). Finally, we will evaluate immune responses in BCs categorized for predicted neoantigen load and underlying mutation type with our novel bioinformatics pipeline that enables accurate prediction of MHC class I and class II missense, fusion and frameshift mutation neoantigens generated through faulty DNA repair, aberrant DNA and RNA splicing, insertions, and deletions. Our project demonstrates a novel approach to defining the immune processes in early stages of BC development which may improve BC risk prediction and prevention. We present a plan to comprehensively analyze immunity throughout BC development and define changes that accompany transitions from normal to BBD and BBD to BC. Citation Format: Doug Hinerfeld, Keith Knutson, Derek Radisky, E. Aubrey Thompson, Yan Asmann, Kim McCoy, Amy Degnim, Jodi Carter, Stacey Winham, Michele Cote, Jeroen van der Laak, Mark Sherman. Analysis of the immune microenvironment to advance breast cancer risk prediction and prevention [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 651.