Formalin-fixed Paraffin-embedded Breast Cancer Tissue Research Articles

A retrospective analysis suggests PTEN expression is associated with favorable clinicopathological features of breast cancer

The phosphatase and tensin homolog (PTEN) gene acts as a tumor suppressor by regulating the PI3K/AKT pathway, crucial for cell growth and survival. Mutations or loss of PTEN are common in breast cancer, leading to uncontrolled cell growth. Understanding PTEN’s role is vital for targeted therapies. 276 formalin-fixed paraffin-embedded (FFPE) breast cancer tissue blocks from 2012 to 2016 were analyzed for PTEN expression. Immunohistochemistry was performed to identify and assess tumor related clinicopathological characteristics as well as patient demographics. These were statistically matched with PTEN expression. Only 27.5% of the breast cancer tumors were PTEN-positive. PTEN expression correlated significantly with smaller tumor size, lower tumor grade, positive estrogen and progesterone receptor status, and favorable/unfavorable Ki67 status (p < 0.001). No significant association was found with vascular invasion, histologic type, age, HER2 status, staging, or lymph node involvement (p > 0.05). The study confirms PTEN's association with favorable clinicopathological features in breast cancer, supporting its role as a prognostic marker. These findings underscore the importance of PTEN in breast cancer biology and its potential as a therapeutic target. Furthermore these findings confirm the prevalence of advanced stage and aggressive breast cancer tumors in Ghana.

Flow cytometric analysis for Ki67 assessment in formalin-fixed paraffin-embedded breast cancer tissue

BackgroundPathologists commonly employ the Ki67 immunohistochemistry labelling index (LI) when deciding appropriate therapeutic strategies for patients with breast cancer. However, despite several attempts at standardizing the Ki67 LI, inter-observer and inter-laboratory bias remain problematic. We developed a flow cytometric assay that employed tissue dissociation, enzymatic treatment and a gating process to analyse Ki67 in formalin-fixed paraffin-embedded (FFPE) breast cancer tissue.ResultsWe demonstrated that mechanical homogenizations combined with thrombin treatment can be used to recover efficiently intact single-cell nuclei from FFPE breast cancer tissue. Ki67 in the recovered cell nuclei retained reactivity against the MIB-1 antibody, which has been widely used in clinical settings. Additionally, since the method did not alter the nucleoskeletal structure of tissues, the nuclei of cancer cells can be enriched in data analysis based on differences in size and complexity of nuclei of lymphocytes and normal mammary cells. In a clinical study using the developed protocol, Ki67 positivity was correlated with the Ki67 LI obtained by hot spot analysis by a pathologist in Japan (rho = 0.756, P < 0.0001). The number of cancer cell nuclei subjected to the analysis in our assay was more than twice the number routinely checked by pathologists in clinical settings.ConclusionsThe findings of this study showed the application of this new flow cytometry method could potentially be used to standardize Ki67 assessments in breast cancer.

Systematic review and feasibility study on pre-analytical factors and genomic analyses on archival formalin-fixed paraffin-embedded breast cancer tissue

Formalin-fixed paraffin-embedded (FFPE) tissue represents a valuable source for translational cancer research. However, the widespread application of various downstream methods remains challenging. Here, we aimed to assess the feasibility of a genomic and gene expression analysis workflow using FFPE breast cancer (BC) tissue. We conducted a systematic literature review for the assessment of concordance between FFPE and fresh-frozen matched tissue samples derived from patients with BC for DNA and RNA downstream applications. The analytical performance of three different nucleic acid extraction kits on FFPE BC clinical samples was compared. We also applied a newly developed targeted DNA Next-Generation Sequencing (NGS) 370-gene panel and the nCounter BC360® platform on simultaneously extracted DNA and RNA, respectively, using FFPE tissue from a phase II clinical trial. Of the 3701 initial search results, 40 articles were included in the systematic review. High degree of concordance was observed in various downstream application platforms. Moreover, the performance of simultaneous DNA/RNA extraction kit was demonstrated with targeted DNA NGS and gene expression profiling. Exclusion of variants below 5% variant allele frequency was essential to overcome FFPE-induced artefacts. Targeted genomic analyses were feasible in simultaneously extracted DNA/RNA from FFPE material, providing insights for their implementation in clinical trials/cohorts.

Age-Related Clusters and Favorable Immune Phenotypes in Young Breast Cancer Patients

Breast cancer (BC) patients aged <40 years at diagnosis experience aggressive disease and poorer survival compared with women diagnosed with BC at 40 to 49 years, but the age-related biology is described to little extent. Here, we explored transcriptional alterations in BC to gain better understanding of age-related tumor biology. We studied a subset of the Bergen in-house cohort (n = 127; age range, 26-49 years) and used the NanoString Breast Cancer 360 expression panel on formalin-fixed paraffin-embedded BC tissue, and publicly available global BC messenger RNA expression data (n = 204; age range, 22-49 years), to explore differentially expressed genes between the young (age <40 years) and older (age 40-49 years) patients. Unsupervised hierarchical clustering was applied to identify gene expression–based patient clusters. We applied established computational approaches to define the PAM50 subtypes, risk of recurrence scores (ROR), and risk groups and to infer the proportions of 22 immune cell types from bulk gene expression profiles of patients aged <50 years at BC diagnosis. Differentially expressed genes and gene sets were investigated using OncoEnrichR and g:Profiler to describe functional profiles and pathway enrichment. We identified 4 age-related patient clusters presenting distinct characteristics of PAM50 subtypes and ROR profiles, which demonstrated independent prognostic value when adjusted for traditional clinicopathologic variables and the known molecular subtypes. Our findings showed better survival than expected in the basal-enriched cluster 2 and in triple-negative and basal-like BC. Deconvolution analyses of immunophenotypes indicated higher levels of M0 and M1 macrophages than M2 macrophages in subsets of young BC. Our approach identifies age-based patient clusters with distinct clinicopathologic profiles, to a large extent overlapping with the PAM50 subtypes, although with independent prognostic values in multivariate survival analyses. The patient clusters provided new insight in the immune cell distribution across tumor subtypes, potentially contributing to survival differences between the clusters and the molecular subtypes and indicating age-related mechanisms improving outcome. Our study confirms the applicability of ROR as a valid prognosticator also in a young BC cohort.

The diagnostic potentiality of the RNA aptamer against progesterone receptor isolated by crush and soak (CRUSOAK)-SELEX.

Aptamers are a class of molecular recognition elements that exhibit high binding affinity and specificity against their respective targets. In view of the many advantages aptamers harbor over their counterpart antibodies, we were impelled to isolate an RNA aptamer against progesterone receptor, particularly its DNA binding domain. A total of eight SELEX cycles were executed against the recombinant Progesterone Receptor DNA-binding domain (PR DBD). The RNA-protein complex in the gel shift assay was subjected to crush and soak method to elute the binders prior to conventional sequencing, the step of which was based upon to coin the term CRUSOAK-SELEX. The sequencing revealed three different classes of sequences, with one class termed, PRapt-3, showing the strongest binding against PR DBD. The dissociation constant of PRapt-3 RNA aptamer was estimated at 380nM ± 35nM. PRapt-3 was successfully used to develop aptamer-based diagnostic assays such as ELASA, aptamer-based dot blot, and aptamer-based western blot. The prominent highlight is the performance of the aptamer in aptacytostaining, which was unachievable with antibodies. Compared to its counterpart antibodies, PRapt-3 has a better penetration capacity in aptahistostaining using the formalin-fixed paraffin-embedded (FFPE) breast cancer cells and tissue blocks. This study represents the first ever demonstration of an aptamer against progesterone receptor and its diagnostic capacity.

Abstract PO5-14-03: Analytical Validation of the StemPrintER Assay in Patients with Breast Cancer

Abstract Discussion: Breast cancer is the most common malignancy diagnosed amongst women, with more the two million new cases identified globally each year. Thus, considerable resources have been devoted to a better understanding of the disease and how to optimize outcomes for patients. Genetics and genomics have become part of routine care with the latter used to inform treatment planning for patients with ER+ breast cancer (ER+ BC). A multitude of assays may be used to determine the need for adjuvant chemotherapy but none of the current tests on the market are guideline-recommended for making decisions related to neoadjuvant chemotherapy, surgery, or radiation. The 24-gene StemPrintER assay was developed to measure the “stemness” of tumors, or how much a tumor behaves like stem cells, which could have important and novel implications for breast cancer treatment planning. The assay has been validated for predicting prognosis using formalin-fixed paraffin-embedded (FFPE) tissue blocks from several clinical cohorts, including TransATAC. The goal of current and future research will be to determine whether the assay can determine the ideal surgical intervention for ER+BC patients. Early in silico work demonstrated a trend toward this predictive capacity for the assay and suggests the assay may be able to identify the benefit of mastectomy versus quadrantectomy. Here, we report on the ability to set up and run the assay in our lab using synthetic oligonucleotides and archival tissue blocks. Methods: Synthetic oligonucleotides and archival FFPE breast cancer tissue were used to set up and analytically validate the assay’s performance in two phases. The initial phase was intended to confirm the individual assay design performance by assessing linearity and precision and the ability to amplify RNA from FFPE, which confirmed compatibility with standard extraction methods. The second phase was intended to determine whether these methods could be implemented to reliably extract and amplify RNA from FFPE &amp;gt;10 years old (range: 10-14 years) in order to generate a StemPrintER score. The assay was run according to standard operating procedures for StemPrintER. Analyses were conducted Python 3.9.12. Results: Two assay runs with duplicate samples for each run using a 7-point dilution series demonstrated linearity (coefficient of correlation, r2) results ranging from 0.978 to 0.999 for each of the 24 genes in the assay. Amplification efficiency was between 100-101% for each gene. Using 14 FFPE samples from patients with triple-negative breast cancer, we demonstrated a consistent extraction yield of RNA from tumor blocks which produced amplification of each of the targets. Analysis of intra- and inter-run precision resulted in coefficients of variation (CV) ranging from 0.2-1.07% and inter-run CV’s ranging from 0.66%-5.56%. Utilizing FFPE &amp;gt;10 years old from ER+BC patients demonstrated that the lab could extract RNA from 100% of samples and amplify the material to obtain binary StemPrintER results. Conclusion: These data demonstrate that StemPrintER can be run reliably on FFPE tissue up to 14 years old. In addition, our laboratory has demonstrated that assay results are highly linear and reproducible. Additional studies are planned to build on preliminary surgical prediction data and determine whether the assay can meet the unmet need of identifying the ideal surgical intervention in patients with early-stage ER+/HER2- breast cancer. Citation Format: Catie Cronister, Brock Schweitzer, Hannah Gilmore, Tyler Nielsen. Analytical Validation of the StemPrintER Assay in Patients with Breast Cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-14-03.

Kaiso Expression in Triple Negative Breast Cancer in a Tertiary Hospital in Ghana.

Breast cancer has produced more lost disability-adjusted life years (DALYs) than any other type of cancer. The prevalence of the disease, especially triple negative breast cancer (TNBC) in Africa is on the rise, with poor survival rates. With the great advancements in treatments of breast cancers, that of TNBC is still a challenge due to its narrowed treatment options and poor disease prognosis. This research seeks to explore the expression of kaiso in Ghanaian breast cancer and how they may modulate clinicopathological features, and disease prognosis. A cross-sectional retrospective study was conducted on formalin-fixed paraffin-embedded (FFPE) breast cancer tissues retrieved from the archives of the pathology unit of Komfo Anokye Teaching Hospital (KATH). Immunohistochemistry assessment was performed on haematoxylin and eosin-stained slides selected for tissue microarray construction. Data were analysed using SPSS version 28 and Microsoft excel 2013. 55.3% of the cases tested negative to progesterone receptor (PR), oestrogen receptor (ER), and human epidermal growth receptor 2 (HER2). There were significant associations between menopausal status and molecular subtype (p=0.010), Kaiso expression and histological diagnoses (<0.001) and Kaiso against lymphovascular invasion (0.050). However, there were no significant associations between Kaiso localization and the clinicopathological features although 63.9% of the expression was seen in the nucleus. The study indicates that Kaiso is highly expressed in Ghanaian TNBC and likely associated with worse outcomes in aggressive tumour types.

RNA-seq RNAaccess identified as the preferred method for gene expression analysis of low quality FFPE samples.

Clinical tumor tissues that are preserved as formalin-fixed paraffin-embedded (FFPE) samples result in extensive cross-linking, fragmentation, and chemical modification of RNA, posing significant challenges for RNA-seq-based gene expression profiling. This study sought to define an optimal RNA-seq protocol for FFPE samples. We employed a common RNA extraction method and then compared RNA-seq library preparation protocols including RNAaccess, RiboZero and PolyA in terms of sequencing quality and concordance of gene expression using FFPE and case-matched fresh-frozen (FF) triple-negative breast cancer (TNBC) tissues. We found that RNAaccess, a method based on exome capture, produced the most concordant results. Applying RNAaccess to FFPE gastric cancer tissues, we established a minimum RNA DV200 requirement of 10% and a RNA input amount of 10ng that generated highly reproducible gene expression data. Lastly, we demonstrated that RNAaccess and NanoString platforms produced highly concordant expression profiles from FFPE samples for shared genes; however, RNA-seq may be preferred for clinical biomarker discovery work because of the broader coverage of the transcriptome. Taken together, these results support the selection of RNA-seq RNAaccess method for gene expression profiling of FFPE samples. The minimum requirements for RNA quality and input established here may allow for inclusion of clinical FFPE samples of sub-optimal quality in gene expression analyses and ultimately increasing the statistical power of such analyses.

Phasor Representation Approach for Rapid Exploratory Analysis of Large Infrared Spectroscopic Imaging Data Sets.

Infrared (IR) spectroscopic imaging is potentially useful for digital histopathology as it provides spatially resolved molecular absorption spectra, which can subsequently yield useful information by powerful artificial intelligence methods. A typical analysis pipeline in using IR imaging data for chemical pathology often involves iterative processes of segmentation, evaluation, and analysis that necessitate rapid data exploration. Here, we present a fast, reliable, and intuitive method based on a phasor representation of spectra and discuss its unique applicability for IR imaging data. We simulate different features extant in IR spectra and discuss their influence on the phasor waveforms; similarly, we undertake IR image analysis in the transform space to understand spectral similarity and variance. We demonstrate the potential of phasor analysis for biomedical tissue imaging using a variety of samples, using fresh frozen surgical prostate resections and formalin-fixed paraffin-embedded breast cancer tissue microarray samples as model systems that span common histopathology practice. To demonstrate further generalizability of this approach, we apply the method to data from different experimental conditions─including standard (5.5 μm × 5.5 μm pixel size) and high-definition (1.1 μm × 1.1 μm pixel size) Fourier transform IR (FTIR) spectroscopic imaging using transmission and transflection modes. Quantitative segmentation results from our approach are compared to previous studies, showing good agreement and quick visualization. The presented method is rapid, easy to use, and highly capable of deciphering compositional differences, presenting a convenient tool for exploratory analysis of IR imaging data.

Droplet Digital PCR Using HER2/EIF2C1 Ratio for Detection of HER2 Amplification in FFPE Breast Cancer Tissues with Low or Equivocal HER2 Expression

Background: HER2 amplification/overexpression is the predictive biomarker for HER2-targeted therapy. The aim of this study is to investigate whether droplet digital PCR (ddPCR) using the HER2/EIF2C1 ratio could be an alternative HER2 detection assay in formalin-fixed, paraffin-embedded (FFPE) BC tissues with low or equivocal HER2 expression. Methods and Patients: We determined HER2 status by ddPCR in 150 FFPE BC tissues previously classified as IHC1+, IHC2+, and IHC3+; 90 of these were previously determined as FISH-negative and FISH-positive. Optimal cutoff thresholds for the HER2/EIF2C1 ratio, determined by the receiver operating characteristics (ROC) curve, were 2.72 (98% sensitivity, 88% specificity) and 2.64 (89.23% sensitivity, 92% specificity) using IHC and FISH as standard methods, respectively. Results: The concordance rate of HER2 status (n=144) determined by IHC/FISH and ddPCR was 89.58% (kappa=0.791, 89.85% sensitivity, 89.33% specificity). The HER2/EIF2C1 ratio in the IHC3+ group was significantly higher than in IHC1+ and IHC2+ groups (P&lt;0.0001). In IHC3+, the concordance between IHC/FISH and ddPCR was 98% (kappa=1.00). In IHC2+ (n=44), the concordance between FISH and ddPCR was 79.54% (kappa=0.579, 65% sensitivity, 91.7% specificity); the HER2/EIF2C1 ratio in FISH-positive cases was significantly higher than in FISH-negative cases (P&lt;0.001). Interestingly, 12% of IHC1+ cases showed HER2 amplification by ddPCR. Conclusion: Thus, ddPCR using the HER2/EIF2C1 ratio is a robust, sensitive, and accurate assay and represents an alternative method to determine HER2 amplification. This technique should be used to clarify HER2 amplification in breast cancer patients with low or equivocal HER2 expression (IHC1+ or IHC2+ with FISH-negative), which may benefit from novel HER2-directed ADCs. The heterogeneity of HER2-expressing cells contributes to discordant results between ddPCR and FISH.

Abstract 5357: Estrogen receptor gene expression prediction from H&amp;E-stained whole slide images

Abstract Gene expression profiling (GEP) represents an important approach to inform breast cancer treatment. However, access to GEP involves challenges associated with cost, tissue transportation, and turn around time. In this work, we explore the prediction of estrogen receptor gene (ESR1) expression directly from images of hematoxylin and eosin (H&amp;E) stained, formalin-fixed paraffin-embedded (FFPE) breast cancer tissue. Since H&amp;E staining is a fast and inexpensive component of the standard tissue preparation in pathology, this approach is tissue preserving and requires no additional tissue processing. Our method uses a deep multiple instance learning approach to process cropped image patches from whole-slide images (WSI) into a numeric embedding vector summarizing the information in each patch. A gated attention mechanism then aggregates these embeddings into a single prediction for the WSI. We train and tune the model on a site-based split of The Cancer Genome Atlas (TCGA) BRCA dataset, and evaluate it on both a heldout split of TCGA (independent sites) and a separate dataset from a tertiary teaching hospital (TTH). All splits of TCGA have ESR1 value, immunohistochemistry (IHC) estrogen receptor (ER) status, and limited clinical outcome data. The TTH dataset has IHC-based ER status and clinical outcome, but not ESR1 expression. On the TCGA heldout test split, our model’s root mean square error (RMSE) for predicting normalized gene expression counts (TPM) was 2.90 [95% CI: 2.57, 3.23], and the Pearson correlation was 0.57 [95%CI; 0.46, 0.67]. For predicting IHC-based ER status on the same TCGA split, this weakly-supervised ESR1-predicting model had an area under the receiver-operator curve (AUROC) of 0.81 [0.74, 0.87]. This was comparable to a strongly-supervised method directly predicting ER status (AUROC: 0.85 [0.77, 0.92]). Lastly, when evaluated for association with patient outcomes (progression-free interval; PFI) using the independent TTH dataset, this ESR1-predicting model had a concordance index (c-index) of 0.59 [0.52, 0.65]. For comparison, the c-index for PFI using the IHC-based ER status for these cases was 0.61 [0.54, 0.66]. This work further demonstrates the potential to infer gene expression from H&amp;E stained images in a manner that shows meaningful associations with clinical variables. Because obtaining H&amp;E stained images is substantially easier and faster than genetic testing, the capability to derive molecular genetic information from these images may increase access to this type of information for patient risk stratification and provide research insights into molecular-morphological associations. Future work incorporating more comprehensive sets of genes remains a valuable next step. Citation Format: Anvita A. Srinivas, Ronnachai Jaroensri, Ellery Wulczyn, James H. Wren, Elaine E. Thompson, Niels Olson, Fabien Beckers, Melissa Miao, Yun Liu, Cameron Chen, David F. Steiner. Estrogen receptor gene expression prediction from H&amp;E-stained whole slide images. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5357.

Abstract P5-02-53: P95HER2 Expression in HER2-Positive Breast Cancer

Abstract Background: -HER2-positive breast cancer subtype accounted for around 15-20% of all breast cancer. -The introduction of HER2-targeted therapy such as trastuzumab and pertuzumab has remarkably increased the patients’ prognosis of HER2-positive breast cancer. -However, resistance exists due to impaired drug binding to HER2 receptor and constitutive activation of HER2 downstream signaling pathways. -P95HER2 isoform is a truncated form of HER2 that retains the C terminal domain but lacks an N terminal trastuzumab binding site, leading to trastuzumab resistance in HER2-positive breast cancer. -A new P95HER2 antibody is developed to target the extracellular domain of p95HER2 in formalin-fixed paraffin-embedded (FFPE) HER2-positive breast cancer tissues by using hematoxylin and eosin (HE) staining method. Objectives: To evaluate the expression of P95HER2 and its clinicopathological characteristics in HER2-positive breast cancer. Methods: We assessed 68 HER2-positive patients (IHC 3+ or IHC 2+/in situ hybridization [ISH]+) from Fudan University Shanghai Cancer Center (FUSCC) who underwent breast cancer surgery and were treated with adjuvant chemotherapy (taxane or anthracycline or combination) plus trastuzumab from 2014 to 2016. P95HER2 HE antibody is provided by Simcere Pharma. In this study, we compared 27 patients with primary trastuzumab resistance with 41 non-relapse breast cancer patients. 14 patients have not received trastuzumab targeted therapy. P95HER2 staining of either 1+, 2+ or 3+ observed in any tumor area in HE slides was considered to be P95 HER2 positive. Chi-square test was used to determine the relationship between P95HER2 expression of patients’ characteristics. The main outcome measures were disease free-survival (DFS), distant disease-free survival (DDFS) and overall survival (OS) by using log-rank test. Univariable and multivariable Cox regression analyses were used to identify independent factors related to prognosis. Results: From 2014 to 2016, we assessed the expression of P95HER2 expression in 68 HER2 positive breast cancer patients from FUSCC. Median follow-up was 45 months. In our study, 19 (27.9%) were P95HER2 positive. P95HER2 positive expression rate is higher in premenopausal patients than in postmenopausal patients (68.4% vs 38.8%, P= 0.028). Univariable analysis showed that higher T-stage (P= 0.018), higher N-stage (P= 0.001) and P95HER2 positive expression (P= 0.033) were associated with worse DDFS. Multivariable analysis showed that higher T-stage (hazard ratio, 6.019; 95% CI, 1.205-30.078; P= 0.029) and P95HER2 positive (hazard ratio, 2.349; 95%CI, 1.03-5.358; P= 0.042) independently predicted worse DDFS. P95HER2 positive was significantly associated with shorter 5-year DDFS (42.1% vs 67.6%, P= 0.028), but has no significant difference in DFS (36.8% vs 59.5%, P= 0.072) and OS (74.8% vs 81.2%, P= 0.685). Conclusions: P95HER2 positive was found more in premenopausal patients and was associated with a higher metastasis rate, indicating that P95HER2 expression tends to be a more aggressive isoform type of HER2-positive breast cancer. P95HER2 may serve as a therapeutic target for anti-HER2 therapy. Citation Format: Chih Wan Goh, Liyi Zhang, Wei-Ru Chi, Bingqiu Xiu, Jiajian Chen, Wenqing Yang, Chunxia Ao, Jianxing Tang, Jingyan Xue, Yayun Chi, Jiong Wu. P95HER2 Expression in HER2-Positive Breast Cancer [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P5-02-53.

MALDI-IHC-Guided In-Depth Spatial Proteomics: Targeted and Untargeted MSI Combined.

Recently, a novel technology was published, utilizing the strengths of matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) and immunohistochemistry (IHC), achieving highly multiplexed, targeted imaging of biomolecules in tissue. This new technique, called MALDI-IHC, opened up workflows to target molecules of interest using MALDI-MSI that are usually targeted by standard IHC. In this paper, the utility of targeted MALDI-IHC and its complementarity with untargeted on-tissue bottom-up spatial proteomics is explored using breast cancer tissue. Furthermore, the MALDI-2 effect was investigated and demonstrated to improve MALDI-IHC. Formalin-fixed paraffin-embedded (FFPE) human breast cancer tissue sections were stained for multiplex MALDI-IHC with six photocleavable mass-tagged (PC-MT) antibodies constituting a breast cancer antibody panel (CD20, actin-αSM, HER2, CD68, vimentin, and panCK). K-means spatial clusters were created based on the MALDI-IHC images and cut out using laser-capture microdissection (LMD) for further untargeted LC-MS-based bottom-up proteomics analyses. Numerous peptides could be tentatively assigned to multiple proteins, of which three proteins were also part of the antibody panel (vimentin, keratins, and actin). Post-ionization with MALDI-2 showed an increased intensity of the PC-MTs and suggests options for the development of new mass-tags. Although the on-tissue digestion covered a wider range of proteins, the MALDI-IHC allowed for easy and straightforward identification of proteins that were not detected in untargeted approaches. The combination of the multiplexed MALDI-IHC with image-guided proteomics showed great potential to further investigate diseases by providing complementary information from the same tissue section and without the need for customized instrumentation.

Quality Assessment of Proteins and RNA Following Storage in Archival Formalin-Fixed Paraffin-Embedded Human Breast Cancer Tissue Microarray Sections.

Although the immunogenicity of formalin-fixed paraffin-embedded tissue sections can decrease during storage and transport, the exact mechanism of antigenic loss and how to prevent it are not clear. Herein, we investigated changes in the expression of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER-2), E-cadherin, and Ki-67 in human breast tissue microarray (TMA) tissue sections stored for up to 3 months in dry and wet conditions. The positive rates of ER and PR expression were minimally changed after 3 months of storage, but the Allred scores of ER and PR stored in humid conditions decreased remarkably in comparison to fresh-cut tissue. The HER-2 antigenicity and RNA integrity of breast TMA sections stored in dry conditions diminished gradually with storage time, whereas the immunoreactivity and RNA quality of HER-2 in humid conditions decreased sharply as storage length increased. The area and intensity of E-cadherin staining in tissue sections stored in dry conditions did not change significantly and were minimally changed after 3 months, respectively. In contrast, the area and intensity of E-cadherin staining in tissue sections stored in humid conditions decreased significantly as storage length increased. Finally, the Ki-67 labeling index of tissue sections stored for 3 months in dry (9% decrease) and wet (31.9% decrease) conditions was decreased in comparison to fresh sections. In conclusion, these results indicate that water is a crucial factor for protein and RNA degradation in stored tissue sections, and detailed guidelines are required in the clinic.

Relative Quantification of Proteins in Formalin-Fixed Paraffin-Embedded Breast Cancer Tissue Using Multiplexed Mass Spectrometry Assays

The identification of clinically relevant biomarkers represents an important challenge in oncology. This problem can be addressed with biomarker discovery and verification studies performed directly in tumor samples using formalin-fixed paraffin-embedded (FFPE) tissues. However, reliably measuring proteins in FFPE samples remains challenging. Here, we demonstrate the use of liquid chromatography coupled to multiple reaction monitoring mass spectrometry (LC-MRM/MS) as an effective technique for such applications. An LC-MRM/MS method was developed to simultaneously quantify hundreds of peptides extracted from FFPE samples and was applied to the targeted measurement of 200 proteins in 48 triple-negative, 19 HER2-overexpressing, and 20 luminal A breast tumors. Quantitative information was obtained for 185 proteins, including known markers of breast cancer such as HER2, hormone receptors, Ki-67, or inflammation-related proteins. LC-MRM/MS results for these proteins matched immunohistochemistry or chromogenic in situ hybridization data. In addition, comparison of our results with data from the literature showed that several proteins representing potential biomarkers were identified as differentially expressed in triple-negative breast cancer samples. These results indicate that LC-MRM/MS assays can reliably measure large sets of proteins using the analysis of surrogate peptides extracted from FFPE samples. This approach allows to simultaneously quantify the expression of target proteins from various pathways in tumor samples. LC-MRM/MS is thus a powerful tool for the relative quantification of proteins in FFPE tissues and for biomarker discovery.

Abstract P1-05-02: Intratumor molecular tumor heterogeneity in low ER-expressing primary breast tumors

Abstract Background: Change in estrogen receptor (ER) status between primary breast cancer and distant recurrence are seen in the clinic in up to 15-20% of patients. This is difficult to reconcile with the current understanding of breast cancer molecular subtypes, the large-scale molecular differences between ER-positive (ER+) and ER-negative (ER-) cancers suggest different cellular origins, luminal versus basal breast epithelium, respectively. A potential explanation for ER status switch is the presence of mixed molecular subtypes at diagnosis. ER+ cancers with less than 100% positivity may be composed by both luminal and basal-like cancer cells, and a recurrence might arise from one subtype that survived adjuvant therapy. The goal of this study was to test if molecular subtype heterogeneity exists at diagnosis in less than 100% ER+ breast cancer using the NanoString GeoMx™ platform. Methods: GeoMx™ is a highly multiplexed assay that quantifies RNA expression from spatially discrete regions of interest (ROIs) within formalin fixed paraffin embedded (FFPE) tissue sections. We identified 4 cancers with 30-40% ER-positivity on routine immunohistochemistry (IHC) staining (clone SP1). Eight ROIs per case were selected to represent both ER-high and -low regions of the section using ER IHC (clone 1D5). Invasive tumor cells were defined as PanCK positive cells. 1,825 mRNA species were measured separately in each ROI. mRNA expression results (unique molecular index [UMI] counts) were quantile normalized and differential expression analyses for all genes, ESR1, ER-regulated gene set, and PAM50 gene set were performed between ROIs within the same cancer. We also assessed PAM50 subtypes of each cases on bulk RNA using NanoString BC360 panel. Results: Three of the 4 cases had heterogenous ER IHC (1D5) staining; the fourth case was uniformly ER-negative during ROI selection. For this last case, ROIs were selected based on PanCK staining from different locations in the cancer. Bulk PAM50 subtyping indicated 1 basal-like, 2 HER2-enriched (HER2-E), and 1 luminal (lum)A cancer. We also attempted ROI-level subtyping; however, Pearson correlations to the nearest centroid were low (&amp;lt;0.5) for all ROIs, possibly due to low expression of PAM50 genes or to the exploratory methodology used. There was substantial within cancer, between ROI, expression heterogeneity for many genes including ESR1 and sensitivity to endocrine therapy (SET) index genes. Conclusions: ER- and ER+ cells are intermixed which makes defining low and high ER regions challenging. We observed region to region variation in ESR1 and SET index gene expression. ROI-level PAM50 subtyping was unstable. The novel NanoString GeoMx™ DSP technology can be used to study intratumor molecular heterogeneity in regions of interest on FFPE breast cancer tissue sections. We found substantial region-to-region gene expression differences within tissue sections. Case ID1234ER IHC SP130%40%40%30%ER IHC 1D50%40%40%30%Bulk PAM50 SubtypeBasalHER2-ELumAHER2-EESR1 UMI average (range across ROIs)28.45 (22.4-34.6)64.9 (18.8-173)179.9 (114-245)34.8 (25.1-45.4)SET Index (genes positively correlated with ESR1) UMI average (range across ROIs)41.5 (39.1-44.8)120.1 (86.9-182.9)94.9 (72.9-118.4)143.5 (124.9-150.3)SET Index (genes negatively correlated with ESR1) UMI average (range across ROIs)57.6 (45-75.3)43.4 (38.8-52.6)33.7 (31.8-36.7)44.8 (41.4-50.6) Citation Format: Julia Foldi, Emily Reisenbichler, Liuliu Pan, Krsitina Sorg, Sarah E. Church, Lajos Pusztai. Intratumor molecular tumor heterogeneity in low ER-expressing primary breast 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 P1-05-02.

The Visualization of Protein-Protein Interactions in Breast Cancer: Deployment Study in Pathological Examination.

The therapeutic strategy is determined by protein expression using immunohistochemistry of estrogen receptor (ER), progesterone receptor, and human epidermal growth factor receptor 2 (HER2) in formalin-fixed paraffin-embedded (FFPE) breast cancer tissues. However, few proteins function independently, and many of them functions due to protein-protein interactions (PPIs) with other proteins. Therefore, it is important to focus on PPIs. This review summarizes the PPIs of ER and HER2 in breast cancer, especially those using a proximity ligation assay that can visualize PPIs in FFPE tissues. In particular, assessing the interaction of CEACAM6 with HER2 may serve as a surrogate marker for the efficacy of trastuzumab in patients with breast cancer. Therefore, in this review, the technique used to detect the interaction of CEACAM6 and HER2 in routinely processed pathological specimens will be applied to the clinical practice of drug selection. We showed the possibility as a novel pathological examination method using PPIs.

Quantification of Human Epidermal Growth Factor Receptor 2 by Immunopeptide Enrichment and Targeted Mass Spectrometry in Formalin-Fixed Paraffin-Embedded and Frozen Breast Cancer Tissues

Conventional HER2-targeting therapies improve outcomes for patients with HER2-positive breast cancer (BC), defined as tumors showing HER2 protein overexpression by immunohistochemistry and/or ERBB2 gene amplification determined by in situ hybridization (ISH). Emerging HER2-targeting compounds show benefit in some patients with neither HER2 protein overexpression nor ERBB2 gene amplification, creating a need for new assays to select HER2-low tumors for treatment with these compounds. We evaluated the analytical performance of a targeted mass spectrometry-based assay for quantifying HER2 protein in formalin-fixed paraffin-embedded (FFPE) and frozen BC biopsies. We used immunoaffinity-enrichment coupled to multiple reaction monitoring-mass spectrometry (immuno-MRM-MS) to quantify HER2 protein (as peptide GLQSLPTHDPSPLQR) in 96 frozen and 119 FFPE BC biopsies. We characterized linearity, lower limit of quantification (LLOQ), and intra- and inter-day variation of the assay in frozen and FFPE tissue matrices. We determined concordance between HER2 immuno-MRM-MS and predicate immunohistochemistry and ISH assays and examined the benefit of multiplexing the assay to include proteins expressed in tumor subcompartments (e.g., stroma, adipose, lymphocytes, epithelium) to account for tissue heterogeneity. HER2 immuno-MRM-MS assay linearity was ≥103, assay coefficient of variation was 7.8% (FFPE) and 5.9% (frozen) for spiked-in analyte, and 7.7% (FFPE) and 7.9% (frozen) for endogenous measurements. Immuno-MRM-MS-based HER2 measurements strongly correlated with predicate assay HER2 determinations, and concordance was improved by normalizing to glyceraldehyde-3-phosphate dehydrogenase. HER2 was quantified above the LLOQ in all tumors. Immuno-MRM-MS can be used to quantify HER2 in FFPE and frozen BC biopsies, even at low HER2 expression levels.

Nodal status in luminal A invasive breast cancer: relationships with cytotoxic CD8\u2009+\u2009and regulatory FOXP3\u2009+\u2009cells tumor-associated infiltrate and other prognostic factors

Luminal A breast cancers are generally associated with low metastatic potential and good prognosis. However, there is a proportion of patients, who present with metastases in lymph nodes. The aim of our study was to determine the association between the number of positive lymph nodes and infiltrates of tumor-associated cytotoxic CD8 + (CTLs), regulatory FOXP3 + T cells (Tregs), as well as other prognostic factors. Immunohistochemistry (IHC) for CD8 + and FOXP3 + was performed in 87 formalin-fixed paraffin-embedded primary breast cancer tissues, and cell infiltrate was assessed under light microscope. We observed that node-positive cases were associated with higher numbers of Treg cells and lower CTL/Treg ratio. There was also an inverse correlation between the CTL/Treg ratio and the number of metastatic lymph nodes. Similar relationships were found between the number of metastatic lymph nodes and Treg density or CTL/Treg ratio in pT1 BC. An elevated intratumoral CTL/Treg ratio was associated with pN0 stage. The relationship between lymphovascular invasion (LVI) and Treg density was also noted in node-negative tumors. In addition, more advanced nodal stage was related to LVI, higher pT, and lower PR expression. The numbers of CD8 + and FOXP3 + were also associated with tumor size, histologic grade, PR expression, and mitotic index. The results of our study suggested that the levels of tumor-infiltrating regulatory and cytotoxic cells as well as the balance between them play a role in lymphovascular spread of luminal A breast cancers.

Human cytomegalovirus and Epstein-Barr virus infections in breast cancer: A molecular study on Iranian women

The role of human cytomegalovirus (HCMV) and Epstein-Barr virus (EBV) infections in breast cancer pathology is not well understood. Our study aimed to investigate the association of HCMV and EBV infections with breast cancer and distinguish the types of positive EBV and LMP-1 samples in Iranian patients. Seventy-two formalin-fixed paraffin-embedded (FFPE) breast cancer tissues were analyzed between December 2014 and April 2016. Samples were analyzed for HCMV and EBV using nested-PCR and conventional PCR assays, respectively. Statistical analysis was performed using SPSS software version18. Overall, HCMV and EBV genomes were detected in 6.9% and 16.7% of FFPE breast cancer tissues, respectively. Clinical factors were not statistically associated with the presence of HCMV and EBV. In this study, we reported EBV and LMP-1 typing in breast carcinoma cases for the first time in Iran. Our findings indicate that HCMV and EBV infections are not associated with the development of breast cancer.