Carter, Jodi M.

Abstract The goal of this study was to develop a high-plex assay to simultaneously quantitate 27 established and novel breast cancer (BC)-related, immune protein and phosphoprotein biomarkers using the GeoMx® Digital Spatial Profiler (DSP). The custom assay performance was compared to standard clinical BC biomarker assays (e.g.ER, PR, HER2, Ki67) across the spectrum of BC subtypes and in multiple laboratories. Commercially available antibodies to 27 BC-related protein biomarkers, including ER, PR, HER2, Ki-67, AR, immune-related (e.g. PD-L1) and several cell cycle/proliferation markers were oligonucleotide-tagged, and verified by immunohistochemistry for performance against untagged antibodies. The tagged antibodies were combined with 3 isotype controls and 2 housekeeping proteins into a custom BC high-plex assay for DSP. Confirmation of target specificity was done on a custom tissue microarray (TMA) (Run control) composed of (un)treated cancer cell lines and normal tissues. For clinical BC samples, each biopsy had 4x600 µm regions of interest segmented into pan-Cytokeratin+ tumoral epithelium and pan-Cytokeratin- adjacent stroma segments. With targeted UV light, oligonucleotides were collected from each segment sequentially and quantitated with nCounter. Raw counts were geomean normalized for analysis. Intra-site and inter-site assay reproducibility was assessed with the TMA and serial FFPE sections from BC biopsies. Quantitation of proteins showed high reproducibility within sites (e.g. Run 1 v. Run 2, p>0.05 for all protein targets) and the high-plex custom assay showed good concordance between 3 participating laboratories. GeoMx DSP-derived protein data correlated well with orthogonal methodologies performed on a sample subset including immunohistochemistry, reverse phase protein array, DNA and RNA-sequencing. For example, DSP protein counts for p53 protein were higher in tumors with TP53 point mutation than those with truncating TP53 alterations. Expanded sample testing is underway with 120 well-characterized breast cancer biopsies of various histologies, immune subtypes (e.g. TIL scores) and clinical biomarker phenotypes (e.g. ER+/HER2-/Ki-67 high BC; ER+/HER2-/Ki-67 low BC; HER2+ BC; ER-/PR-/HER2- BC).Our preliminary data demonstrate that this custom high-plex BC assay can quantitate protein biomarkers across a wide dynamic range with high intra-lab and inter-lab reproducibility. The assay requirement of a single 5-µm tissue section facilitates complex biomarker profiling in biopsies with limited material. The custom assay alone or in combination with other targeted DSP protein modules can simultaneously interrogate the biomarker profile, immune-based and other drug target profile, and immune microenvironment of BC specimens, providing a novel approach for actionable tumor subtyping. For research use only. Not for use in diagnostic procedures. Citation Format: Christopher Corless, Amber Bridgeman, Jinho Lee, Gary Geiss, Sarah Warren, Sarah Church, Joseph M. Beechem, E Aubrey Thompson, Jodi Carter. Development of a custom high-plex GeoMx digital spatial profiler breast cancer protein biomarker assay [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3484.

Abstract Background: As a key receptor tyrosine kinase (RTK) regulating tumorigenesis, AXL is overexpressed in multiple different types of cancers. AXL can be activated by homodimerization after binding with its ligand, growth arrest specific 6 protein (Gas6) or by heterodimerization with other RTKs. AXL overexpression and/or activation have been reported to promote cancer cell proliferation, migration/invasion and to induce resistance to targeted therapy. However, the AXL downstream signaling network has not yet been fully elucidated. Methods: We employed a CRISPR-CAS9-based knockout technology to create AXL inducible knockout cells in a human triple negative breast cancer (TNBC) cell line, HCC1395. In order to explore the downstream signaling events driven by AXL, we induced AXL knockout for 72 hours and used a 6-plex TMT-labeling-based quantitative proteomic approach to characterize the protein phosphorylation alterations induced by AXL knockout. IMAC and anti-phosphotyrosine antibody (pY1000)-based phosphopeptide enrichment methods were used to comprehensively quantify the phosphoproteome changes induced by AXL knockout. Results: In this study, we identified 38,525 phospho serine/threonine sites and 1,427 phosphotyrosine sites. In response to AXL knockout, 1,581 phospho serine/threonine sites and 40 phosphotyrosine sites showed significant differences between AXL-KO and AXL-WT groups with >1.5-fold change and p<0.05 as the cutoff. Among them, 982 phosphoserine/threonine sites and 30 phosphotyrosine sites were decreased, while 599 phospho serine/threonine sites and 10 phosphotyrosine sites were increased in AXL-KO cells. Signaling pathway enrichment analysis revealed that suppressing AXL expression could inhibit multiple important cancer related signaling pathways, including cell cycle, focal adhesion, MAPK signaling pathway, p53 signaling pathway and mTOR signaling pathway. Conclusion: Quantitative analysis of the phosphoproteome driven by AXL demonstrated that AXL plays a pivotal role in regulating canonical oncogenic signaling but also signaling pathways involved in RNA processing and DNA repair. Our data also suggest that targeting AXL could suppress these oncogenic signaling pathways and have therapeutic potential to improve clinical outcomes for patients with AXL overexpression. Citation Format: Li Wang, Nicole Pearson, Yuning Xiong, Santosh Renuse, Ran Cheng, Jodi M. Carter, Akhilesh Pandey, Xinyan Wu. Quantitative phosphoproteomic analysis of AXL signaling network in breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3913.

Abstract BackgroundFormalin-fixed, paraffin-embedded (FFPE) tissues have many advantages for identification of risk biomarkers, including wide availability and potential for extended follow-up endpoints. However, RNA derived from archival FFPE samples has limited quality. Here we identified parameters that determine which FFPE samples have the potential for successful RNA extraction, library preparation, and generation of usable RNAseq data.MethodsWe optimized library preparation protocols designed for use with FFPE samples using seven FFPE and Fresh Frozen replicate pairs, and tested optimized protocols using a study set of 130 FFPE biopsies from women with benign breast disease. Metrics from RNA extraction and preparation procedures were collected and compared with bioinformatics sequencing summary statistics. Finally, a decision tree model was built to learn the relationship between pre-sequencing lab metrics and qc pass/fail status as determined by bioinformatics metrics.ResultsSamples that failed bioinformatics qc tended to have low median sample-wise correlation within the cohort (Spearman correlation < 0.75), low number of reads mapped to gene regions (< 25 million), or low number of detectable genes (11,400 # of detected genes with CPM > 2). The median RNA concentration and pre-capture library Qubit values for qc failed samples were 18.7 ng/ul and 1.68 ng/ul respectively, which were significantly lower than those of qc pass samples (40.8 ng/ul and 5.58 ng/ul). We built a decision tree model based on input RNA concentration, input library qubit values, and achieved an F score of 0.803 in predicting QC status (pass/fail) of FFPE samples. ConclusionsWe provide a bioinformatics quality control recommendation for FFPE samples from breast tissue by evaluating bioinformatic and sample metrics. Our results suggest a minimum concentration of 25 ng/ul FFPE-extracted RNA for library preparation and 1.8 ng/ul pre-capture library output to achieve adequate RNA-seq data for downstream bioinformatics analysis.

Abstract Background: Hormone receptor-positive (HR+) breast cancer (BC) accounts for ~60-70% of all BC cases. CDK4/6i combined with endocrine therapy (ET) is the standard of care for first- and second-line therapy of patients with HR+ metastatic breast cancer (MBC) based on substantial improvements in progression free survival (PFS) and overall survival compared to ET alone. Unfortunately, most patients (pts) develop resistance to CDK4/6i. The mechanisms underlying CDK4/6i resistance have not been fully elucidated. Robust in vivo CDK4/6i resistant animal models from pts with de novo and acquired CDK 4/6i resistance are lacking. Patient-derived xenografts (PDXs) are important preclinical tools in oncology to advance our understanding of cancer biology and to evaluate drug response phenotypes. Unfortunately, the establishment of sustainable PDXs from pts with HR+ BC is much more difficult than from HR-negative BC. In order to obtain clinically relevant models that can be utilized to better understand mechanisms of primary and acquired resistance to ET and CDK4/6i, we report the development of PDXs from a prospective study in which percutaneous biopsies were obtained from women receiving palbociclib for the treatment of HR+ advanced or MBC (PROMISE; NCT03281902). Methods: PROMISE (Prospective Study to Evaluate the Role of Tumor Sequencing in Women Receiving Palbociclib for Advanced Hormone Receptor (HR)-Positive Breast Cancer) is a prospective trial which enrolled pts with HR+, HER2-negative MBC who planned to start treatment with palbociclib and letrozole (1st line [FL]) or palbociclib and fulvestrant (2nd line [SL]). For pts enrolled at Mayo Clinic Rochester (MCR), serial tumor biopsies were obtained prior to the start of treatment and at disease progression to establish PDXs. Because baseline take rate was low, we amended the protocol to attempt PDX generation after the 2nd cycle (C2) of therapy. Tissues were received within an hour of excision and were orthotopically implanted in the mammary fat pad of 6~8-week-old nonobese diabetic (NOD)/SCID/IL-2g-receptor null (NSG) mice. Tumor growth was defined as tumor volume ≥ 50 mm3. Tumor take rate was defined as percent of patients with development of at least one stably transplantable (passed at least for two generations) xenograft that was pathologically confirmed as BC. Results: Of the 50 pts enrolled at MCR, 37 were FL pts (2 ineligible) and 13 were SL pts (1 ineligible). Fresh tumor samples obtained pre-treatment from 43 eligible pts (32 FL), after C2 from 17 eligible pts (13 FL), and at disease progression from 10 eligible pts (5 FL) were implanted. Tumor growth was seen in at least one mouse from a pre-treatment specimen in 1 (3.1%) FL pt (confirmed BC) and 4 (36.4%) SL pts (2 confirmed BC); from end of C2 specimens in 2 (15.4%) FL pts and 2 (50%) SL pts (1 confirmed BC); and at progression in 1 (20%) FL pt and 2 (40%) SL pts (1 confirmed BC). The take rate from pre-treatment samples among FL pts was 1/32 (3.1%; 95% CI: 0.08-16.2%). Take rates in other groups are pending histological review. Discussion: In pts receiving palbociclib for HR+ MBC, the take rate using a pre-treatment percutaneous biopsy was low (3.1%) in the FL setting. However, higher growth rates were seen in the SL setting. The observation of higher growth rates at the end of C2 and at progression may relate to the activation of G1/S that occurs with withdrawal of palbociclib, and should be further studied. PDX remains a valuable tool for the evaluation of tumor biology and the development of new therapeutics, especially for those models established from pts with palbociclib and ET resistance. Proteogenomic and sequencing studies are ongoing to fully characterize these PDXs. Citation Format: Jia Yu, Vera J. Suman, Jun He, Jason P. Sinnwell, Ann M. Moyer, Bo Qin, Yayun Gu, Huan Zhang, Jodi M. Carter, Krishna R. Kalari, Brendan P. McMenomy, Minetta C. Liu, Tufia C. Haddad, Kathryn J. Ruddy, Fergus J. Couch, Alvaro Moreno-Aspitia, Donald W. Northfelt, Richard Weinshilboum, Ciara O'Sullivan, Matthew P. Goetz, Liewei Wang. Patient-derived xenografts (PDXs) generated from hormone receptor-positive breast cancer (BC) before and after cyclin-dependent kinase 4 and 6 inhibitors (CDK4/6i) treatment: Initial findings from the PROMISE study [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 P5-01-07.

Abstract Introduction. The standard treatment for non-metastatic triple-negative breast cancer (TNBC) is neoadjuvant chemotherapy (NAC) and nearly 50% exhibit pathological complete response (pCR). However, patients with residual disease after NAC are at increased risk for recurrence and death. Prior studies examining the transcriptome of TNBC pre/post-NAC have examined a limited number of genes (&lt;500) in heterogeneous subgroups of TNBC (e.g. LAR and non-LAR). We explored the transcriptome of androgen-receptor (AR) negative (non-LAR) TNBC subtype both pre/post NAC to identify pathways associated with NAC response. Methods. Tumors obtained pre/post NAC from TNBC patients enrolled in the Breast Cancer Genome Guided therapy study (BEAUTY) underwent RNA sequencing and reverse-phase protein array (RPPA). EdgeR was applied for differentially expressed (DE) analysis and regression methods for RPPA. Digital deconvolution method (CIBERSORTx) and TNBC single-cell data were used to obtain cell types. Pathway analysis was carried out using 2972 gene sets and gene set variation analysis (GSVA). Functional enrichment analysis was conducted with significant genes. Results. Of the 44 TNBC patients, 32 patients were excluded from the analysis cohort due to: LAR tumor (6 pts.), non-LAR tumor with pCR (23 pts.), and cell type issues with RNA-seq data (3 pt.). Paired RNA-Seq data were available for 12 TNBC patients (4 with progression &lt;2 years [EP]) and 8 who were progression-free &gt; 4 years [NP]) and paired RPPA data were available for 9 of these 12 patients. Differentially expressed genes, proteins and cell types between EP and NP in post-NAC. We identified 489 genes differentially expressed (DE) between EP and NP (logFC=|2|, FDR &lt; 0.05). Analysis of cytobands from these 489 genes showed an enrichment of genes on chromosome 6p22.1-2 and 17q25.3 regions (enrichment ratio &gt;5; p-value &lt;10E-4). Critical genes identified in the AR- network (p-value &lt; 10E-3) were IL1RN, SLAMF9, KRT81, BHLHE22, B3GALT5, PCP4, TREM1, AQP9, NRTN, and COL2A1.In addition, preliminary results from RPPA data of post-NAC tumors showed astrocytic phosphoprotein (PEA-15), involved in apoptosis, proliferation, glucose metabolism, as well as cell proliferation and Y box binding (YB1) proteins (involved in metastases), were more DE in EP than NP (p &lt; 0.05). CIBERSORTx was applied to estimate the proportions of different cell types in post-NAC tumors. Cancer-associated fibroblasts iCAFs were low and myCAFs are high in EP vs NP. It is known that the cross-talk between CAFs and tumor cells may induce tumor resistance to chemotherapy. Differentially expressed pathways in post and pre-NAC EP tumors. Using genome-wide expression data from the paired 12 tumors and the GSVA method, we obtained individual pathway scores for 2972 pathways. One hundred ninety pathways were downregulated and 61 pathways were upregulated (p-value &lt;= 0.05) in the post-NAC residual disease of EP relative to NP. We further examined these 190 pathways in the paired EPs and found 71% of those pathways were upregulated in the pre-NAC. These 190 downregulated pathways were enriched with FOXO, TGF-beta, PI3k, FGFR1, insulin and others. The 61 upregulated pathways in post-NAC EP tumors were enriched with mismatch repair, purine, tubulin, telomere, polymerase and gap-junction related pathways; 77% of those 61 pathways were downregulated in pre-NAC. Conclusions. Using a comprehensive “omics” approach, we have identified novel cancer and drug response pathways associated with recurrence in AR-TNBC disease. Further work to evaluate these as markers of outcome and potential drug targets is warranted. Citation Format: Krishna R Kalari, Vera J Suman, Xiaojia Tang, Jason P Sinnwell, Kevin J Thompson, Peter T Vedell, Jodi M Carter, Sarah A McLaughlin, Alvaro Moreno Aspitia, Donald W Northfelt, Richard J Gray, Richard Weinshilboum, Liewei Wang, Judy C Boughey, Matthew Goetz. Multi-omics data shows downregulation of mismatch repair, purin and tublin pathways in AR-negative triple-negative chemotherapy-resistant tumors [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 P4-01-05.

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&gt;2, p&lt;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&lt;0.01), with tumors that were more often of apocrine histology (35% vs 0%, p &lt;0.01), grade 1-2 (24% vs 1%, p&lt;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 Background: Although major advances have been made in the treatment of HER2+ metastatic breast cancer (MBC), the goal of care remains largely palliative, therefore better treatments are needed. Given encouraging preclinical and clinical data, the combination of cyclin dependent 4/6 kinase inhibitors and HER2-directed therapy is further being evaluated in this trial. Trial Design: In this phase I/II multicenter trial, we will determine the maximum tolerated dose (MTD) of abemaciclib (Abem) combined with T-DM1. Three Abem dose levels will be examined, 50 mg, 100 mg and 150 mg. The phase 2 portion of this trial will examine whether PFS is increased with addition of Abem to T-DM1 in two pt cohorts - those with ER+ HER2+ MBC and those with ER-HER2+ MBC. For phase 2, a pre-registration biopsy is required to confirm ER and HER2-status and to determine levels of tumor infiltrating lymphocytes; vimentin (an epithelial-mesenchymal transition marker); and CD8 and FOXP3 expression. Blood samples will be collected pretreatment , at 6 weeks, and at progression for all pts. Eligibility Criteria: Phase I&II: All pts must have HER2+ MBC per ASCO-CAP guidelines and prior treatment with a taxane, trastuzumab and pertuzumab. For the phase Iportion, pts can have measurable or non-measurable disease with no restriction on the number of prior lines of therapy. In the phase II portion, pts must have measurable disease with ≤1-2 prior lines of chemotherapy alone, ≤1 HER2-directed therapy alone, and/or chemotherapy with HER2-directed therapies. There is no limit on prior endocrine therapy. Specific Aims: The primary objective of the phase II trial is to assess whether addition of Abem to T-DM1 increases PFS in one or both patient cohorts. Secondary objectives include an assessment of toxicity, objective response rates and overall survival. Correlative studies will assess the association between baseline TIL levels, vimentin expression, and CD8/FOXP3 expression with PFS. Changes in peripheral blood mononuclear cells, CTCs, ctDNA and serum thymidine kinase 1 during the course of treatment will be examined to determine if there is a link with PFS outcomes overall and separately for each cohort. Pharmacogenomic studies will determine if pts with the FCGR3A-158 polymorphism derive less benefit from T-DM1 and have inferior PFS outcomes compared with pts who do not have this polymorphism. Statistical Methods:Phase I: Standard 3+3 design, with dose limiting toxicities as per protocol. Phase II: For each pt cohort, a stratified randomization scheme will be used to assign pts to treatment with liver mets as a stratification factor. For each pt cohort, a stratified log rank test will be used to assess whether PFS is increased with the addition of Abem to T-DM1. A non-binding futility analysis will be applied in each cohort after 58 events in the ER+ HER2+ MBC study cohort and 48 events in the ER- HER2+ MBC study cohort. Present Accrual: 0; target accrual: minimal 120 pts., maximal 140 pts CohortOne-sidedalphaPowerAccrual Period (accrual rate)Follow-up after close of enrollmentPFS with T-DM1PFS with abema and T-DM1Number of eligible patientsER+/HER2+0.100.912 months (5-6 pts per month)12 months12 weeks24 weeks64 (32 per arm)ER-/HER2+0.100.8512 months (3-4 pts per month)12 months6 weeks12 weeks50 (25 pts per arm) Citation Format: Ciara C O Sullivan, Jun He, Vera J Suman, Krishna R Kalari, Roberto A Leon-Ferre, Jose C Villasboas-Bisneto, Pratima Chalasani, Demet Gokalp Yasar, Daniel M Anderson, Philip J Stella, Anthony J Jaslowski, Susan H Tannenbaum, Angela Saverimuthu, Donald Northfelt, Alvaro Moreno-Aspitia, Jodi M Carter, Minetta C Liu, Liewei Wang, Zhenkun Lou, Matthew P Goetz. A phase I/II trial of abemaciclib and T-DM1 in women and men with HER2-positive advanced or metastatic breast cancer that has progressed on treatment with a taxane, trastuzumab and pertuzumab (THP) (ACCRU-BR-1801) [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 OT2-19-05.

OBJECTIVE Perineural spread of breast cancer to the brachial plexus can lead to pain, sensory alterations, and upper-extremity weakness. Although rare, perineural spread is an often-misdiagnosed long-term complication following breast cancer diagnosis. The objective of this study was to critically review the clinical, radiological, and pathological findings of biopsy-proven perineural spread of breast cancer to the brachial plexus. METHODS This is a retrospective study from a single institution in which a total of 19 patients with brachial plexus involvement from perineural spread of breast cancer who underwent fascicular biopsy between 1999 and 2021 were identified. Clinical, radiographic, and pathological data were retrospectively collected. Descriptive statistics were calculated for the cohort. RESULTS The mean age of patients at the time of diagnosis of breast cancer perineural spread was 60.6 ± 11.5 years. The diagnosis of brachial plexopathy due to perineural spread was on average 12 years after the primary diagnosis of breast cancer. There was also a delay in diagnosis due to the rarity of this disease, with a mean time from initial symptom onset to diagnosis of perineural spread of 25 ± 30 months. All patients at the time of presentation had upper-extremity weakness and pain. Nearly all patients demonstrated T2 signal change and nodular so-called sugar-coating contrast enhancement on brachial plexus MRI. Similarly, all patients who underwent PET/MRI or PET/CT had increased FDG uptake in the involved brachial plexus. Breast cancer perineural spread has an overall poor prognosis, with 16 of 19 patients dying within 5.9 ± 3.0 years after diagnosis of perineural spread. CONCLUSIONS Perineural spread should be considered in patients with a history of breast cancer, even 10 years after primary diagnosis, especially in patients who present with arm pain, weakness, and/or sensory changes. Further diagnostic workup with electrodiagnostic studies; brachial plexus MRI, PET/CT, or PET/MRI; and possibly nerve biopsy is warranted to ensure accurate diagnosis.

Abstract Background:Breast terminal duct lobular units (TDLUs), the source of most breast cancer (BC) precursors, are shaped by age-related involution, a gradual process, and postpartum involution (PPI), a dramatic inflammatory process that restores baseline microanatomy after weaning. Dysregulated PPI is implicated in the pathogenesis of postpartum BCs. We propose that assessment of TDLUs in the postpartum period may have value in risk estimation, but characteristics of these tissues in relation to epidemiological factors are incompletely described.Methods: Using validated Artificial Intelligence and morphometric methods, we analyzed digitized images of tissue sections of normal breast tissues stained with hematoxylin and eosin from donors <45 years from the Komen Tissue Bank (180 parous and 545 nulliparous). Metrics assessed by AI, included: TDLU count; adipose tissue fraction; mean acini count/TDLU; mean dilated acini; mean average acini area; mean “capillary” area; mean epithelial area; mean ratio of epithelial area versus intralobular stroma; mean mononuclear cell count (surrogate of immune cells); mean fat area proximate to TDLUs and TDLU area. We compared epidemiologic characteristics collected via questionnaire by parity status and race, using a Wilcoxon rank sum test or Fisher’s exact test. Histologic features were compared between nulliparous and parous women (overall and by time between last birth and donation [ recent birth: ≤5 years versus remote birth: >5 years]) using multivariable regression models.Results:Normal breast tissues of parous women contained significantly higher TDLU counts and acini counts, more frequent dilated acini, higher mononuclear cell counts in TDLUs and smaller acini area per TDLU than nulliparas (all multivariable analyses p<0.001). Differences in TDLU counts and average acini size persisted for >5 years postpartum whereas increases in immune cells were most marked <5 years of a birth. Relationships were suggestively modified by several other factors, including demographic and reproductive characteristics, ethanol consumption and breastfeeding duration. Conclusions:Our study identified sustained expansion of TDLU numbers and reduced average acini area among parous versus nulliparous women and notable increases in immune responses within five years following childbirth. Further, we show that quantitative characteristics of normal breast samples vary with demographic features and BC risk factors.