Laser Capture Microdissection Research Articles

Abstract PO5-13-09: Clinical usage of a CLIA accredited protein/phosphoprotein assay for breast cancer: Primary usage cases and significant findings in the HER2- setting

Abstract Background: A CLIA-accredited assay that measures the expression and/or activation levels of 32 clinically actionable protein and phosphoprotein analytes in clinical tissue biopsy samples was launched in January 2021. The current intended use population for the assay is for patients with late/advanced stage breast cancer wherein molecular profiling is being utilized for clinical decision making. Assessment of physician ordering practices, clinical use dynamics as well as protein/phosphoprotein actionability frequencies were determined for clinically actionable biomarkers. Methods: A total of 219 cases have been processed to date, with mean turn-around time of 16.4 days. The assay utilizes laser capture microdissection to enrich tumor epithelium from FFPE core needle biopsy and resection material coupled to reverse phase protein array. Results for each of the 32 analytes are generated by comparing each patient to a reference population and reported both as a relative quartile and as a continuous percentile compared to the reference population (0-100%). For the purposes of this analysis, significant expression/activation cutpoints were set at the 40th percentile threshold. Results: To date, clinicians have requested the test most frequently to identify potential therapeutic targets in patients with HER2-negative disease (84% of all tested patients, 36% were triple-negative). Despite the majority of cases being HER2-negative, we found that phosphorylated (p) HER2 (Y1248) was found to be activated in 17% of all HER2-negative cases and 19% of triple negative breast cancer cases (TNBC). pHER2 was concurrently activated with pHER3 (Y1289) in 15% (12/80) of TNBC cases and 13% (24/187) of all HER2-negative cases. pHER2 presented concurrently with pEGFR (Y1068 or T654) in 14% (11/80) of TNBC cases and 14% (26/187) of all HER2- cases. Expression of TROP2 was observed in 16% of HER2-negative patients including 11% of ER+/HER2- and 23% of TNBC cancers. MHCII expression, a recently described candidate predictive biomarker of anti-PDL1/PD1 response in TNBC, was found to be expressed in 29% of TNBC patients. Activation frequencies of other clinically relevant drug targets in HER2-negative disease such AKT and mTOR pathway activation was also assessed. We found that pAKT (S473 and/or T308) was activated in 7% of ER+/HER2- cases and 14% of TNBC. Concurrent with AKT activation, at least one additional member of the AKT-mTOR pathway (mTORC1 (S2448), 4E-BP1 (S65), p70S6K (T389), or S6RP (S235/S236) was co-activated in 50% and 45% of ER+/HER2- and TNBC cancers respectively. Conclusion: This initial assessment of a CLIA LDT protein/phosphoprotein assay utilized to date found that physicians most often order the test for advanced stage HER2-negative breast cancer. Activation/expression of clinically important protein drug targets with potential actionability in HER2-negative disease was observed in a significant number of cases and demonstrates the power of the assay to elucidate actionable targets for potential therapeutic intervention. Citation Format: Claudius Mueller, Brian Corgiat, Emanuel Petricoin, Kayla Sparks, Joyce O'Shaughnessy, Chelsea Gawryletz, Matthew Schwartz, Justin Davis. Clinical usage of a CLIA accredited protein/phosphoprotein assay for breast cancer: Primary usage cases and significant findings in the HER2- setting [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 PO5-13-09.

Abstract 141: Lesion Site-specific Mass Spectrometry Analysis Of Human Carotid Plaques Reveals Strongest Association Of The Necrotic Core And Fibrous Cap Proteome With Plaque Stability

The spatial impact of the plaque proteome on atherosclerotic plaque stability remains largely unknown. In this study, we performed mass spectrometry-based proteomics of various carotid plaque subregions (media, necrotic core, fibrous cap), using guided laser capture micro-dissections (LCM) of FFPE tissue in a matched cohort of 112 patients undergoing carotid endarterectomy (CEA) to study the impact of the plaque proteome, not only on lesion stability, but also on subregional changes of expression. Further, we performed a histological analysis according to the AHA classification and combined the data with clinical information on risk factors, comorbidities, and patient symptoms. Our LCM mass spectrometry analysis yielded over 3000 proteins for each plaque subregion. Gene set enrichment analysis revealed a high abundance of extracellular proteins and vice versa for cellular proteins. Subregion analysis identified the necrotic core and the fibrous cap to display the most significant changes in proteins associated with the stability status, whereas the media proteome remained largely unaffected. Primary and secondary enrichment analysis revealed synthetic vascular smooth muscle cells as the major source of these proteins. In addition, we analyzed the serum proteome of more than 500 patients (including non-athero control patients) with overlap from the tissue cohort. We combined these with histological evaluation and a complete set of clinical data. We used these two datasets for developing tissue and serological markers associated with plaque stability. In summary, our approach utilized LCM mass spectrometry, histological evaluation, and clinical data to analyze the association of different lesion subregions on plaque stability. We are able to demonstrate a high through-put method to identify potential protein markers relevant to atherosclerotic plaque stability.

Laser capture microdissection transcriptome (LCM RNA-seq) reveals BcDFR is a key gene in anthocyanin synthesis of non-heading Chinese cabbage

BackgroundPurple non-heading Chinese cabbage [Brassica campestris (syn. Brassica rapa) ssp. chinensis] has become popular because of its richness in anthocyanin. However, anthocyanin only accumulates in the upper epidermis of leaves. Further studies are needed to investigate the molecular mechanisms underlying the specific accumulation of it.ResultsIn this study, we used the laser capture frozen section method (LCM) to divide purple (ZBC) and green (LBC) non-heading Chinese cabbage leaves into upper and lower epidermis parts (Pup represents the purple upper epidermis, Plow represents the purple lower epidermis, Gup represents the green upper epidermis, Glow represents the green lower epidermis). Through transcriptome sequencing, we found that the DIHYDROFLAVONOL 4-REDUCTASE-encoding gene BcDFR, is strongly expressed in Pup but hardly in others (Plow, Gup, Glow). Further, a deletion and insertion in the promoter of BcDFR in LBC were found, which may interfere with BcDFR expression. Subsequent analysis of gene structure and conserved structural domains showed that BcDFR is highly conserved in Brassica species. The predicted protein-protein interaction network of BcDFR suggests that it interacts with almost all functional proteins in the anthocyanin biosynthesis pathway. Finally, the results of the tobacco transient expression also demonstrated that BcDFR promotes the synthesis and accumulation of anthocyanin.ConclusionsBcDFR is specifically highly expressed on the upper epidermis of purple non-heading Chinese cabbage leaves and regulates anthocyanin biosynthesis and accumulation. Our study provides new insights into the functional analysis and transcriptional regulatory network of anthocyanin-related genes in purple non-heading Chinese cabbage.

LMD and LC-MS-based chemical constituents and pharmacological effects assessment for two different processing methods of the root of Paeonia lactiflora Pall.

The plant of Paeonia lactiflora Pall. belongs to Ranunculaceae, and its root can be divided into two categories according to different processing methods, which included that one was directly dried without peeling the root of the P. lactiflora (PR), and the other was peeled the root of the P. lactiflora (PPR) after boiled and dried. To evaluate the difference of chemical components, UPLC-ESI-Q-Exactive Focus-MS/MS and UPLC-QQQ-MS were applied. The distribution of chemical components in different tissues was located by laser microdissection (LMD), especially the different ingredients. A total of 86 compounds were identified from PR and PPR. Four kind of tissues were isolated from the fresh root of the P. lactiflora (FPR), and 54 compounds were identified. Especially the content of gallic acid, albiflorin, and paeoniflorin with high biological activities were the highest in the cork, but they were lower in PR than that in PPR, which probably related to the process. To illustrate the difference in pharmacological effects of PR and PPR, the tonifying blood and analgesic effects on mice were investigated, and it was found that the tonifying blood and analgesic effects of PPR was superior to that of PR, even though PR had more constituents. The material basis for tonifying blood and analgesic effect of the root of P. lactiflora is likely to be associated with an increase in constituents such as paeoniflorin and paeoniflorin lactone after boiled and peeled. The study was likely to provide some theoretical support for the standard and clinical application.

Differential Gene Expression in Porcine Lung Compartments after Experimental Infection with Mycoplasma hyopneumoniae.

Mycoplasma hyopneumoniae (Mhyo) is the causative agent of porcine enzootic pneumonia (EP), as well as one of the main pathogens involved in the porcine respiratory disease complex. The host-pathogen interaction between Mhyo and infected pigs is complex and not completely understood; however, improving the understanding of these intricacies is essential for the development of effective control strategies of EP. In order to improve our knowledge about this interaction, laser-capture microdissection was used to collect bronchi, bronchi-associated lymphoid tissue, and lung parenchyma from animals infected with different strains of Mhyo, and mRNA expression levels of different molecules involved in Mhyo infection (ICAM1, IL-8, IL-10, IL-23, IFN-α, IFN-γ, TGF-β, and TNF-α) were analyzed by qPCR. In addition, the quantification of Mhyo load in the different lung compartments and the scoring of macroscopic and microscopic lung lesions were also performed. Strain-associated differences in virulence were observed, as well as the presence of significant differences in expression levels of cytokines among lung compartments. IL-8 and IL-10 presented the highest upregulation, with limited differences between strains and lung compartments. IFN-α was strongly downregulated in BALT, implying a relevant role for this cytokine in the immunomodulation associated with Mhyo infections. IL-23 was also upregulated in all lung compartments, suggesting the potential involvement of a Th17-mediated immune response in Mhyo infections. Our findings highlight the relevance of Th1 and Th2 immune response in cases of EP, shedding light on the gene expression levels of key cytokines in the lung of pigs at a microscopic level.

Spatial Proteomics Reveals Alcohol-Induced Damages to the Crypts and Villi of the Mouse Small Intestine.

Alcohol consumption perturbs the gut immune barrier and ultimately results in alcoholic liver diseases, but little is known about how immune-related cells in the gut are perturbed in this process. In this study, we employed laser capture microdissection and a label-free proteomics approach to investigate the consequences of alcohol exposure to the proteomes of crypts and villi in the proximal small intestine. Intestinal tissues from alcohol-fed and pair-fed mice were microdissected to selectively capture cells in the crypts and villi regions, followed by one-pot protein digestion and data-independent LC-MS/MS analysis. We successfully identified over 3000 proteins from each of the crypt or villi regions equivalent to ∼3000 cells. Analysis of alcohol-treated tissues indicated an enhanced alcohol metabolism and reduced levels of α-defensins in crypts, alongside increased lipid metabolism and apoptosis in villi. Immunofluorescence imaging further corroborated the proteomic findings. Our work provides a detailed profiling of the proteomic changes in the compartments of the mouse small intestine and aids in molecular-level understanding of alcohol-induced tissue damage.

Meta-analysis of differential gene expression in lower motor neurons isolated by laser capture microdissection from post-mortem ALS spinal cords.

ALS is a fatal neurodegenerative disease for which underlying mechanisms are incompletely understood. The motor neuron is a central player in ALS pathogenesis but different transcriptome signatures have been derived from bulk analysis of post-mortem tissue and iPSC-derived motor neurons (iPSC-MNs). This study performed a meta-analysis of six gene expression studies (microarray and RNA-seq) in which laser capture microdissection (LCM) was used to isolate lower motor neurons from post-mortem spinal cords of ALS and control (CTL) subjects. Differentially expressed genes (DEGs) with consistent ALS versus CTL expression differences across studies were identified. The analysis identified 222 ALS-increased DEGs (FDR <0.10, SMD >0.80) and 278 ALS-decreased DEGs (FDR <0.10, SMD < -0.80). ALS-increased DEGs were linked to PI3K-AKT signaling, innate immunity, inflammation, motor neuron differentiation and extracellular matrix. ALS-decreased DEGs were associated with the ubiquitin-proteosome system, microtubules, axon growth, RNA-binding proteins and synaptic membrane. ALS-decreased DEG mRNAs frequently interacted with RNA-binding proteins (e.g., FUS, HuR). The complete set of DEGs (increased and decreased) overlapped significantly with genes near ALS-associated SNP loci (p < 0.01). Transcription factor target motifs with increased proximity to ALS-increased DEGs were identified, most notably DNA elements predicted to interact with forkhead transcription factors (e.g., FOXP1) and motor neuron and pancreas homeobox 1 (MNX1). Some of these DNA elements overlie ALS-associated SNPs within known enhancers and are predicted to have genotype-dependent MNX1 interactions. DEGs were compared to those identified from SOD1-G93A mice and bulk spinal cord segments or iPSC-MNs from ALS patients. There was good correspondence with transcriptome changes from SOD1-G93A mice (r ≤ 0.408) but most DEGs were not differentially expressed in bulk spinal cords or iPSC-MNs and transcriptome-wide effect size correlations were weak (bulk tissue: r ≤ 0.207, iPSC-MN: r ≤ 0.037). This study defines a robust transcriptome signature from LCM-based motor neuron studies of post-mortem tissue from ALS and CTL subjects. This signature differs from those obtained from analysis of bulk spinal cord segments and iPSC-MNs. Results provide insight into mechanisms underlying gene dysregulation in ALS and highlight connections between these mechanisms, ALS genetics, and motor neuron biology.

Spatial omics reveals molecular changes in focal cortical dysplasia type II

Focal cortical dysplasia (FCD) represents a group of diverse localized cortical lesions that are highly epileptogenic and occur due to abnormal brain development caused by genetic mutations, involving the mammalian target of rapamycin (mTOR). These somatic mutations lead to mosaicism in the affected brain, posing challenges to unravel the direct and indirect functional consequences of these mutations. To comprehensively characterize the impact of mTOR mutations on the brain, we employed here a multimodal approach in a preclinical mouse model of FCD type II (Rheb), focusing on spatial omics techniques to define the proteomic and lipidomic changes. Mass Spectrometry Imaging (MSI) combined with fluorescence imaging and label free proteomics, revealed insight into the brain's lipidome and proteome within the FCD type II affected region in the mouse model. MSI visualized disrupted neuronal migration and differential lipid distribution including a reduction in sulfatides in the FCD type II-affected region, which play a role in brain myelination. MSI-guided laser capture microdissection (LMD) was conducted on FCD type II and control regions, followed by label free proteomics, revealing changes in myelination pathways by oligodendrocytes. Surgical resections of FCD type IIb and postmortem human cortex were analyzed by bulk transcriptomics to unravel the interplay between genetic mutations and molecular changes in FCD type II. Our comparative analysis of protein pathways and enriched Gene Ontology pathways related to myelination in the FCD type II-affected mouse model and human FCD type IIb transcriptomics highlights the animal model's translational value. This dual approach, including mouse model proteomics and human transcriptomics strengthens our understanding of the functional consequences arising from somatic mutations in FCD type II, as well as the identification of pathways that may be used as therapeutic strategies in the future.

270 Inducing Neural Maturation and Increasing Survival in SHH Medulloblastoma Using EZH2 Inhibition in a Mouse Model

INTRODUCTION: Medulloblastoma (MB) is the most common malignant pediatric brain tumor. Genetically, MB can be divided into four subgroups of which the SHH subtype histologically shows nodular architecture. Within this nodular architecture, there are islands of mature cells, with more abundant neuropil and a low proliferation rate, scattered among sheets of primitive cells. METHODS: We performed laser capture microdissection followed by whole transcriptome analysis, spatial transcriptomics using Digital Spatial Profiling, whole genome DNA methylation and ChIP-Seq analysis of mature and primitive areas from 8 medulloblastomas. We developed a genetically-engineered mouse model of SHH MB showing spontaneous maturation and lack of maturation with a conditional EZH2 genetic ablation or EZH2 overactivation respectively. Finally, we developed a fucoidan-based nanoparticle drug delivery across the blood brain barrier (BBB) for targeted molecular inhibition. RESULTS: Using whole transcriptome and DNA methylation analysis, we identified ∼120 differentially expressed genes between primitive and mature regions with enrichment for genes regulated by H3K4me3 and H3K27me3. ChIP-Seq analysis showed striking differences in H3K27me3 enrichment between primitive and mature medulloblastoma cells including at the EZH2 locus. Medulloblastoma specific EZH2 genetic ablation resulted in diffuse tumor cell differentiation and prolonged survival in mice (n = 10 per group, log-rank p = 0.01). Conversely, conditional EZH2 (Y641F) activation prevented medulloblastoma differentiation. A fucoidan-based nanoparticle successfully delivered the EZH2 inhibitor (EPZ-6438) across the murine BBB to achieve significant extension of mouse survival (median 70 days compared to 21 days in control mice; *p = 0.01, Mantel-Cox). CONCLUSIONS: Spontaneous maturation of medulloblastoma cells can be induced by inhibition of EZH2. Fucoidan-based nanoparticle delivery systems allows tumor specific targeted delivery across the BBB extending survival in mice.

Deceptive learning in histopathology.

Deep learning holds immense potential for histopathology, automating tasks that are simple for expert pathologists and revealing novel biology for tasks that were previously considered difficult or impossible to solve by eye alone. However, the extent to which the visual strategies learned by deep learning models in histopathological analysis are trustworthy or not has yet to be systematically analysed. Here, we systematically evaluate deep neural networks (DNNs) trained for histopathological analysis in order to understand if their learned strategies are trustworthy or deceptive. We trained a variety of DNNs on a novel data set of 221 whole-slide images (WSIs) from lung adenocarcinoma patients, and evaluated their effectiveness at (1) molecular profiling of KRAS versus EGFR mutations, (2) determining the primary tissue of a tumour and (3) tumour detection. While DNNs achieved above-chance performance on molecular profiling, they did so by exploiting correlations between histological subtypes and mutations, and failed to generalise to a challenging test set obtained through laser capture microdissection (LCM). In contrast, DNNs learned robust and trustworthy strategies for determining the primary tissue of a tumour as well as detecting and localising tumours in tissue. Our work demonstrates that DNNs hold immense promise for aiding pathologists in analysing tissue. However, they are also capable of achieving seemingly strong performance by learning deceptive strategies that leverage spurious correlations, and are ultimately unsuitable for research or clinical work. The framework we propose for model evaluation and interpretation is an important step towards developing reliable automated systems for histopathological analysis.

The Mechanism of Ovule Abortion in Self-Pollinated 'Hanfu' Apple Fruits and Related Gene Screening.

Apples exhibit S-RNase-mediated self-incompatibility and typically require cross-pollination in nature. 'Hanfu' is a cultivar that produces abundant fruit after self-pollination, although it also shows a high rate of seed abortion afterwards, which greatly reduces fruit quality. In this study, we investigated the ovule development process and the mechanism of ovule abortion in apples after self-pollination. Using a DIC microscope and biomicroscope, we found that the abortion of apple ovules occurs before embryo formation and results from the failure of sperm-egg fusion. Further, we used laser-assisted microdissection (LAM) cutting and sperm and egg cell sequencing at different periods after pollination to obtain the genes related to ovule abortion. The top 40 differentially expressed genes (DEGs) were further verified, and the results were consistent with switching the mechanism at the 5' end of the RNA transcript (SMART-seq). Through this study, we can preliminarily clarify the mechanism of ovule abortion in self-pollinated apple fruits and provide a gene reserve for further study and improvement of 'Hanfu' apple fruit quality.

Abstract 730: Leveraging microdissection for proteogenomic analysis of histological sections to advance drug development

Abstract Background: Combining proteogenomics with laser capture microdissection (LCM) in cancer research offers a targeted way to explore the intricate interactions between tumor cells and the tumor microenvironment. This is especially important for immuno-oncology (IO) research where improvements in the predictability of patient response to IO-based drugs is sorely needed. An improved understanding of the spatial relationships involving tumor cells proper, stromal cells, blood supply and immune cell interactions may help to inform drug development and improve the indicators of success for IO-based drug regimens. Methods: LCM is used to isolate and obtain distinct histological cell types from fresh frozen tissue. Once cells have been captured, nucleic acids and proteins are extracted for in-depth multi-modality molecular profiling assays involving multiple genomic modalities and a customized solution-based mass spectrometry proteomics approach for samples or specimens with a limited amount of tissue. Results: Optimizing analysis of minute tissue quantities from LCM captured cells is challenging. Following the isolation of nucleic acids, RNA-seq may be performed for gene expression and DNA sequencing performed for the discovery and analysis of actionable mutations, copy number variation, and methylation profiles. Regarding genomic-based studies, commercial kits are often utilized for these steps due to their general availability, rapid innovation, and the robust performance of these products. However, this kit-based adaptive approach is not true for proteomics. There remains a need for highly sensitive proteomic methods targeting small-sized samples. A significant part of our proteogenomics approach is focused around an enhanced liquid chromatography mass spectrometry (LC-MS) analysis of micro-scale and/or nano-scale tissue sections. This is achieved with a silver-stained one-dimensional sodium dodecyl sulfate polyacrylamide gel electrophoresis (1D-SDS-PAGE) approach developed for LC-MS analysis of fresh-frozen tissue specimens obtained via LCM. This includes an in-gel digestion method adjusted and specifically designed to maximize the proteome coverage from amount-limited LCM samples to better facilitate in-depth molecular profiling. Conclusions: Reported here is a proteogenomic approach that is leveraging from microdissected fresh frozen tissue. The methodology may also be applicable to other types of specimens having limited nucleic acids, protein quantity, and/or sample volume. Citation Format: Ik Jae Shin, Michael Tangrea, Michael R. Emmert-Buck, Donald J. Johann. Leveraging microdissection for proteogenomic analysis of histological sections to advance drug development [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 730.

Abstract 3768: Optimization of digital pathology through laser capture microdissection with a 405 nm laser

Abstract Tumor cellular heterogeneity is a complex problem in cancer molecular diagnostics and personalized therapy. The tumor is a product of the different types and interactions of host and immune cells. Investigators have created a variety of methods to procure separate subpopulations of the tumor microenvironment for individual analysis. One of the most successful methods of this is laser capture microdissection (LCM). This method captures specific subpopulations of cells under direct microscopic visualization. This LCM technology has successfully been used for over 20 years, revealing a variety of insights into cancer pathogenesis and mechanisms of therapeutic response employed in numerous clinical trials. Nevertheless, there are two drawbacks to the current systems. For UV cutting (365 nm), the tissue is significantly damaged by the UV light energy. Infrared (808 nm) laser systems do not damage the tissue however, this method has low power and poor resolution. Our first hypothesis to be tested is that a new class of near UV 405 nm laser will have small capture areas approaching single cells while simultaneously preventing cellular damage. The second weakness of LCM is the requirement for an open-faced tissue section without a coverslip. Moreover, when visualizing the tissue of interest, the identification of regions of interest is obscured due to the refractive index mismatch between the laser microdissection cap and the tissue surface. We hypothesize that using a volatile organic compound with a refractive index similar to glass would elucidate the tissue region of interest to allow proper visualization. We successfully developed and tested a near 405 nm wavelength LCM system that utilizes a “liquid” coverslip to visualize the sample of interest with higher clarity, resolution, and contrast for immunohistochemistry, immuno-fluorescence, blood smear slides, and conventional hematoxylin-eosin tissue staining. Overall, these critical improvements LCM technology now allow for single-cell tissue capture, system automation, tissue visualization, and opens the door for artificial intelligence-assisted spatial profiling. Citation Format: Thomas Philipson, Marissa Howard, Kevin Johnson, Amanda Still, Furkat Yunusov, Emanuel Petricoin, Virginia Espina, Noel Gonzalez, Alan Carpino, Lance Liotta. Optimization of digital pathology through laser capture microdissection with a 405 nm laser [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3768.

Abstract 4340: Profiling the evolutionary history of giant cancer cells in sarcomas: Hopeful monsters or an evolutionary dead end

Abstract Background: As tumors evolve, they accumulate somatic mutations that serve as an archeological record of their evolutionary past. Undifferentiated pleomorphic sarcomas (USARCs) are malignant soft tissue tumors that often contain scattered giant cancer cells, or potential ‘hopeful monster cells’, histologically. As USARCs frequently undergo whole genome doubling (WGD) and chromothripsis (Steele et al, 2019), both mutational events are likely to contribute to the formation of giant cancer cells, which frequently display atypical nuclear features such as polyploidy, micronuclei and extrachromosomal DNA. Giant cancer cells are also a common histological finding in other sarcoma types, such as dedifferentiated liposarcomas. Aims: This study aims to leverage single cell sequencing approaches to determine the evolutionary history and genomic landscape of giant cancer cells in sarcomas. Methods: 112 giant cancer cells identified in 8 USARCs, 1 dedifferentiated liposarcoma (DDLPS) and 1 myxofibrosarcoma by histology (i.e. nuclear size and shape, as well as multi-nucleation) were isolated via laser capture microdissection thereby retaining important spatial and morphological information. Once isolated, single cell DNA was extracted and amplified using the Ampli1 whole genome amplification (WGA) kit and underwent WGS. DNA was also estimated at a single cell level in one USARC using FACS. Once sorted into different ploidy populations, single nuclei also underwent WGS. Allele specific copy number aberrations (CNAs) were inferred in all single cells. Bulk tumour and normal WGS was also performed. Results: LCM isolated giant cancer cells exhibited extreme sub-clonal heterogeneity with some demonstrating de novo chromothripsis events that was not present in bulk WGS. FACS analysis and copy number inference of single cancer cells in one USARC also revealed the presence of three ploidy populations, including a haploid, a near diploid and a WGD population. Single cell WGS and copy number profiling demonstrated that following near genome scale haploidisation, multiple haploid cells underwent successive rounds of WGD. Conclusions: Chromothripsis and WGD emerges as major contributors to intra-tumor heterogeneity in sarcoma giant cancer cells. Single cell LCM and WGS revealed that some giant cancer cells contained de novo chromothripsis events that were not observed in bulk WGS. Multiple sub-clonal WGD events also permitted one USARC to continue to explore its fitness landscape contributing to ongoing tumor heterogeneity and lethality. Citation Format: Amy Bowes, Tom Lesluyes, Sara Waise, Annelien Verfaillie, Adrienne Flanagan, Jonas Demeulemeester, Maxime Tarabichi, Nischalan Pillay, Peter Van Loo. Profiling the evolutionary history of giant cancer cells in sarcomas: Hopeful monsters or an evolutionary dead end [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4340.

Abstract 4358: Genomic profiling of residual kidney structures in dialysis patients

Abstract Background: Chronic kidney disease is frequently associated with persistent inflammation, which results in fibrosis in the stroma, a reduced number of renal tubules, the formation of multiple cystic lesions, ultimately terminating in renal failure and hemodialysis. The high incidence of renal cell carcinoma (RCC) in hemodialysis patients suggests a relationship between tissue remodeling by chronic inflammation and carcinogenesis. However, little is known about the genetic background of cancer development from remaining tubules and cystic lesions in hemodialysis patients. Methods: We enrolled 5 patients under hemodialysis who were accompanied by acquired cystic kidney disease and who underwent total nephrectomy for renal cancer. Surgical specimens were fixed with alcohol-based solution and paraffin-embedded, and after H&amp;E staining, subjected to laser capture microdissection (LCM) to collect remaining tubules and cysts containing approximately 200 cells. DNA was extracted and analyzed for somatic mutations and copy number alteration by whole-exome sequencing. Results: In total, we collected 161 LCM samples, including 118 from proximal tubules, 17 from collecting ducts, and 26 from cysts. The median variant allele frequencies of detected mutations were 0.237 in proximal tubules, 0.133 in collecting duct, and 0.381 in cysts, indicating larger clonal expansion in proximal tubules and cysts than in collecting ducts. Proximal tubules and cysts contained recurrent mutations in FAT1 (11% and 8%, respectively), STAG2 (5% and 8%), and PTEN (3% and 4%), whereas no recurrent driver mutations were identified in collecting ducts. In copy number analysis, 26% of proximal tubules, 35% of collecting ducts, and 80% of cysts had copy number alterations. Of note, samples from cysts had more copy number alterations compared to remaining tubules (on average, 2.3 vs. 1.1). Proximal tubules had recurrent copy number gains of chromosomes 3, 7, 10, 18, and 20, and loss of chromosome 22 and samples from collecting ducts showed gains of chromosome 7 and loss of chromosome 18. In cysts, gains of chromosomes 2, 3, 7, 10, 12, and 16 and loss of chromosomes 15, 16, 21, and 22 were frequently observed. Copy number profile in cysts was similar to that of papillary RCC and acquired cystic disease-associated RCC. Conclusion: In the end-stage cystic kidney, both proximal tubules and cysts exhibited an enrichment of driver mutations commonly found in papillary RCC and RCC with acquired cystic disease, reflecting the fact that the incidence of these two types of RCC increases as the duration of dialysis becomes longer. In addition, clear cell RCC drivers, such as VHL mutation and loss of chromosome 3, were not observed, possibly explaining the rare occurrence of clear cell RCC in hemodialysis patients. Since cysts had more frequent copy number alterations than remaining tubules, cysts in the end-stage kidney might be precursor lesions of RCC. Citation Format: Kosuke Ieiri, Nobuyuki Kakiuchi, Tomonori Hirano, Koichi Watanabe, Hirona Maeda, Hiroko Tanaka, Satoru Miyano, Dai Takamatsu, Takashi Matsumoto, Keisuke Monji, Masaki Shiota, Junichi Inokuchi, Hideki Makishima, Masatoshi Eto, Seishi Ogawa. Genomic profiling of residual kidney structures in dialysis patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4358.

Abstract 1161: Deep spatial proteomics: A new approach for obtaining insight into the glioblastoma microenvironment

Abstract Glioblastoma is the most frequent and malignant brain tumor, with a median survival of approximately 14 months. The tumor microenvironment is composed of different cell types and is known to support the glioblastoma cells and contribute to poor patient prognosis. Since accumulating studies report discordance between mRNA and protein abundances both on population and single-cell levels, and since proteins are the effector molecules of the cells and the actual target molecules of most drugs, our aim is to dissect the tumor microenvironment by spatial LC-MS based proteomics. Glioblastoma formalin-fixed paraffin-embedded (FFPE) tissue was sectioned and placed on membrane glass slides suitable for laser capture microdissection (LCM), followed by precise isolation of single cells from the heterogeneous tumor microenvironment. We used the Zeiss Palm MicroBeam laser microdissection instrument, combined with an Orbitrap Eclipse Tribrid Mass Spectrometer running our in-house sensitivity tailored Data Independent Acquisition method (WISH-DIA) to analyze and quantify the proteomes. We obtained up to 3000 proteins out of only 100 cells and were able to demonstrate the feasibility of collecting and analyzing various cell types at the single-cell level. The proteins identified belonged to many different classes/families of proteins and were able to distinguish the different cell types. In conclusion, this on-going study demonstrates our ability to isolate single cells from the highly heterogeneous tumor microenvironment of glioblastoma with ultra-high sensitivity, thereby allowing the characterization of the proteome of the glioblastoma microenvironment followed by identification of potential therapeutic and/or diagnostic targets. Citation Format: Kartikey Saxena, Rune Daucke, Vilde Pedersen, Pia Helene Klausen, Erwin Schoof, Bjarne Winther Kristensen. Deep spatial proteomics: A new approach for obtaining insight into the glioblastoma microenvironment [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1161.

Abstract 1626: Clonal expansion in bile duct associated with chronic inflammation

Abstract Introduction: Chronic inflammation has been implicated in cancer development in many tissues and has recently been associated with promoted clonal expansion in non-cancer tissues. Primary sclerosing cholangitis (PSC) is a chronic progressive disease of unknown etiology affecting the bile ducts and has been associated with a substantially increased risk of cholangiocarcinoma. Clonal dynamics in the normal bile duct and PSC epithelium remains poorly understood because of the limited accessibility to normal/inflamed bile ducts. In this study, we established a method to detect somatic mutations accumulated in the bile duct epithelium and investigated a mutation rate in normal bile duct cells and clonal expansion in PSC epithelium. Methods: We established single cell-derived organoids from bile, which were subjected to whole genome sequencing to measure the age-related mutation rate in normal epithelial cell in the bile ducts. We next established organoids from multiple sites in perihilar bile ducts and collected epithelial samples from intrahepatic bile ducts obtained by laser-capture microdissection (LCM) from patients with PSC who underwent total hepatectomy for liver transplantation, for which we performed whole exome sequencing to investigate clonal expansion in PSC-involved bile ducts. Results: In total, 14 single cell-derived organoid lines were established from 2 patients with PSC and 3 control individuals. Based on the whole genome sequencing of those organoids, the number of mutations found in non-PSC bile duct epithelium increases with age at an annual mutation rate of 34.3 mutations per genome per year, which did not substantially differ from the rate in the PSC epithelium, suggesting that the inflammatory process in PSC hardly affected the mutations in PSC epithelium. To further investigate clonal expansion in the PSC epithelium, a total of 120 bulk organoid samples from perihilar bile ducts in 3 PSC patients and 111 LCM samples from intrahepatic bile ducts in 4 PSC patients were analyzed. In perihilar bile duct-derived organoids, we detected a median of 13 [1-30] somatic mutations per exome in samples derived from perihilar bile ducts and 20 [5-41] mutations per exome in those from intrahepatic LCM samples. Most mutations were detected in a single sample but some mutation clusters were shared by adjacent samples, which expanded in an area as large as 13 mm in length. Expanded clones harbored mutations in known cancer-driver genes, such as ARID1A and KRAS, which were enriched in segmental bile ducts, suggesting their role in the clonal expansion. Conclusions: Here, we established the method to detect somatic mutations accumulated in the normal/inflamed bile duct epithelium using an organoid-based analysis of clonal somatic mutations. Our results revealed clonal expansion existing in PSC epithelium and open up a way to the better understanding of carcinogenesis in the bile duct. Citation Format: Hirona Maeda, Nobuyuki Kakiuchi, Takashi Ito, Eri Ogawa, Masahiro Shiokawa, Norimitsu Uza, Hiroko Tanaka, Yasuhito Nannya, Hideki Makishima, Yuzo Kodama, Etsuro Hatano, Satoru Miyano, Seishi Ogawa. Clonal expansion in bile duct associated with chronic inflammation [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1626.

Abstract 5660: Gene expression signatures from FFPE to predict recurrent metastatic nasopharyngeal cancer

Abstract Nasopharyngeal cancer (NPC) is an EBV-driven epithelial cancer endemic to Southeast Asia, Southern China and the Middle East. Accurate profiling of the gene expression of NPC has been challenging because of its intense inflammatory infiltrate, as well as the 3 - 4mm size of biopsies limiting the amount of available material. Here we present a large cohort of 339 micro-dissected gene expression libraries from formalin-fixed paraffin-embedded (FFPE) biopsies from NPC patients treated at the National University Health System, Singapore, as well as healthy controls. NPC tumors from patients who subsequently developed recurrent or metastatic disease (Group A), and patients who did not develop recurrent or metastatic disease (Group B) were profiled. Tumor epithelial and microenvironment compartments were separately obtained using laser-capture microdissection, followed by library preparation performed for RNA-Seq using an in-house specialised technique. Gene signatures for NPC tumor epithelial and microenvironment content were used to validate the purity of gene expression libraries. Our preliminary analysis revealed that primary, pre-treatment tumors from patients who subsequently developed recurrence (Group A) showed downregulation of processes related to interferon gamma and interferon alpha response (p-adj &amp;lt;0.001 for both), while processes related to epithelial-mesenchymal transition (p-adj &amp;lt; 0.05) were enriched compared to patients who remained healthy (Group B). In contrast to primary tumors, recurrent tumors in Group A were enriched for cellular respiration including oxidative phosphorylation (p-adj &amp;lt; 0.0001). Our approach highlights the utility of whole transcriptome profiling from small quantities of archival FFPE material. The gene signatures identified from the primary tumors of high-risk patients are biologically relevant and have the potential to be used in precision medicine to guide additional targeted intervention. Citation Format: Joshua K. Tay, Wei Keat Teo, Joseph W. Foley, Luvita Suryani, Bing Cheng Wu, Chor Hiang Siow, Kwok Seng Loh. Gene expression signatures from FFPE to predict recurrent metastatic nasopharyngeal cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5660.

Abstract 936: Targeted proteomics and next-generation sequencing (NGS) for biomarker discovery in metastatic colorectal cancer (mCRC)

Abstract Background: Multi-omics analysis is widely used in cancer diagnosis, prognosis and prediction of treatment response. Here we introduce the use of targeted proteomics coupled with NGS as tools to assess oncogenic alterations along with quantitative protein expression in patients with mCRC. Our proteomics panel included proteins that are antibody drug conjugates (ADCs) targets (ERBB 1-4, TROP2, CEACAM5 etc.) as well as proteins involved in sensitivity to ADC payload (SLFN11, drug efflux pump, TOP1 etc.). Methods: The HORIZON III trial (NCT00384176) evaluated FOLFOX + bevacizumab or cediranib as first-line treatment in patients with mCRC (Schmoll J Clin Oncol 2012). In the current analysis, a subset of samples from the HORIZON III trial were assessed for molecular alterations using NGS and proteomics. Pre-existing HER2 IHC scores were used as previously referenced (Cecchi J Clin Oncol 2023). Samples were processed (n=135) with an automated extraction and library preparation method, then sequenced with both a Whole Exome and targeted-custom gene panel. NGS analysis had a success rate of 116/135 samples (87.3%). Absolute quantitation of protein targets was performed using parallel reaction monitoring (PRM) mass spectrometry after collecting tumor epithelial cells by laser microdissection and punch biopsies (n=60) followed by trypsin digestion. Results: The NGS analysis showed that patients had mutated RAS (50%), BRAF (10%), PIK3CA (16%), and TMB-H (18%) and MSI-H (5%) status. A distinguished pattern of mutual exclusivity among KRAS, NRAS, and BRAF mutations is evident. The HER2-positive patients were wildtype RAS, BRAF, and PIK3CA, MSS and TMB-L. Samples that were IHC HER2-positive matched those with NGS ERBB2 amplification. Using PRM, nearly all the evaluable samples had detectable HER2. HER2 IHC 3+ sample showed the highest protein expression at 30,000 amol/ug (equivalent to 1M receptors/cell). Within the HER2-negative patients, HER2 protein expression showed broad dynamic range. CEACAM5 and HER2 are the only ADC targets that reached the level of 1M receptors/cell. Highest TROP2 protein expression is 5 times lower than the highest HER2 value. Conclusions: Our preliminary findings for this cohort indicate the benefit of the use of multi-modal methodologies to inform better strategies for patient stratification and precision medicine, though further assessment of proteogenomic characteristics is needed. This data may inform future clinical development and guide patient eligibility to clinical trials and possible treatment sequencing for ADCs. Citation Format: William J. Kelly, Barrett Nuttall, Marlon Rebelatto, Marcus Schick, Armin Meier, Steve Sweet, Beom-Jun Kim, David Chain, Yeoun Jin Kim, Zhongwu Lai, Ying Wang, Todd H. Creasy, Ramya Gurrapu, Sakshi Gulati, Alice Barkell, Brian Dougherty, Danielle Carroll, Fabiola Cecchi. Targeted proteomics and next-generation sequencing (NGS) for biomarker discovery in metastatic colorectal cancer (mCRC) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 936.

Abstract 6433: Anti-CD36 monoclonal antibody can sensitize the neoadjuvant chemotherapy response in PDAC by eliminating the senescent tertiary lymphatic structure

Abstract Objective: Pancreatic ductal adenocarcinoma (PDAC) is deadly and aggressive. Neoadjuvant chemotherapy (NAC) may reduce tumor volume and alter the resectability of the tumor. The efficacy of neoadjuvant chemotherapy in patients is still limited. Tertiary lymphoid structures (TLSs) develop in peripheral non-lymphoid tissues and are essential for the immune response and correlate with chemotherapy in various tumor types. However, more research is needed to determine how TLSs affect neoadjuvant chemotherapy in PDAC. We aim to determine how neoadjuvant chemotherapy affects tumor-infiltrating lymphocytes (TLSs) in PDAC patients. We also want to find a biomarker to boost PDAC neoadjuvant chemotherapy response. Methods: We retrospectively collected formalin-fixed paraffin embedded (FFPE) tissues from 115 PDAC patients without preoperative treatment and 72 patients pretreated with neoadjuvant chemotherapy. Multispectral images were processed using AI-powered image analysis software (Tissue Gnostics; Zeiss, Germany). The 10X Genomics platform was used to sequence single cells in tissue samples from five patients who received neoadjuvant chemotherapy (NAC) and five patients who had not received any treatment before analysis (pretreatment naïve, PN). TLS was separated using Laser Microdissection. The mouse model was created by orthotopically injecting tumor cells into the pancreas. Results: Patients who received NAC have a senescent microenvironment. High-throughput single-cell sequencing showed that the senescent gene signature score was enriched in the NAC group, especially in immune cells. The percentage of p16+ CD20+ B cells and P16+ CD3+ T cells in TLSs also increased in the NAC group. Spatial transcriptomics analysis exhibited that CD36 is highly expressed in senescent TLSs, which suggested that CD36 may be a marker for senescent TLSs. Moreover, CD36+ TLSs induced the infiltration of MDSCs and regulatory T cells. CD36+ TLSs were an independent prognostic factor for poor overall survival (OS) (HR=0.67, p=0.002) and progression-free survival (PFS) (HR=0.71, p=0.003). A mice orthotopic xenograft model showed that an anti-CD36 monoclonal antibody eliminated senescent TLSs in pancreatic tissue. MDSCs and Tregs in the surrounding tissue also decreased. Additionally, in vivo KPC mice model showed that the combination of an anti-CD36 and chemotherapy reduced tumor volume and increased survival compared to chemotherapy alone. Conclusion: NAC has the potential to induce the senescence of tumor-associated TLSs, a phenomenon that has been linked to unfavorable prognosis in PDAC. CD36 serves as a viable marker for senescent TLSs that can be targeted. The administration of an anti-CD36 monoclonal antibody can potentially enhance the efficacy of chemotherapy in PDAC by selectively eliminating CD36+ senescent TLSs in mouse models. Citation Format: Jingrui Yan, Tianxing Zhou, Chao Yang, Yongjie Xie, Jun Yu, Jihui Hao. Anti-CD36 monoclonal antibody can sensitize the neoadjuvant chemotherapy response in PDAC by eliminating the senescent tertiary lymphatic structure [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6433.