Laser Capture Microdissection Samples Research Articles

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 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&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 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.

347. LASER CAPTURE MICRODISSECTION AND WHOLE GENOME SEQUENCING OF ESOPHAGEAL ADENOCARCINOMA SAMPLES WITH MINIMAL TUMOUR

Abstract Background Esophageal adenocarcinoma (EAC) samples, particularly biopsies, can have low tumour cellularity, which limits their use for sequencing. Previous studies have focused on untreated resection specimens with high cellularity (i.e. TCGA requiring 60% cellularity on histology). Laser capture microdissection (LCM) is a method to enrich tumour cells from histological specimens and has been successfully used in other samples. We hypothesize that LCM can enrich for tumour from biopsies and resection specimens with very low cellularity. Methods Biopsy and resection EAC specimens were subjected to laser capture microdissection and whole genome sequencing (N = 49 biopsies and N = 15 resections) as part of the MOCHA trial (NCT04219137). LCM samples were reviewed by a board-certified pathologist to quantify tumour cellularity prior to LCM. Matched germline DNA was extracted from patient blood. Samples were processed using an in-house pipeline to call somatic single nucleotide variants (SNVs), insertions, deletions, copy number changes, and structural variants. Post LCM tumour cellularity was estimated from the WGS data. Results We had slightly higher WGS tumour cellularity for biopsies (66.2% +/− 16.8) and resections (71.3% +/− 18.0) than TCGA (58.1% +/− 17.5), while our histological cellularity was much lower than TCGA’s 60% cutoff at 32.2% +/− 24.5 for biopsies and 31.0% +/− 22.7 for resections. Overall, our LCM strategy led to an increase of 35.4 +/− 25.1% for cellularity by WGS compared to the histology. Finally, we observed a similar tumour ploidy and SNV composition as TCGA, which further verified that our tumour enrichment strategy was successful. Conclusion We have successfully applied an LCM strategy to enrich for tumour cells from low cellularity specimens. For example, we have successfully enriched for tumour cells from specimens with as low as 1% histological cellularity. We are currently exploring the results of this dataset including clinical correlations, changes in potential driver mutations from biopsy to resection, and comparing our results to treatment response.

Fixation and Laser Capture Microdissection of Plant Tissue for RNA Extraction and RNASeq Library Preparation.

To study the transcriptome of individual plant cells at specific points in time, we developed protocols for fixation, embedding, and sectioning of plant tissue followed by laser capture microdissection (LCM) and processing for RNA recovery. LCM allows the isolation of individual cell types from heterogeneous tissue sections and is particularly suited to plant processing because it does not require the breakdown of cell walls. This approach allows accurate separation of a small volume of cells that can be used to study gene expression profiles in different tissues or cell layers. The technique requires neither separation of cells by enzymatic digestion of any kind nor cell-specific reporter genes, and it allows storage of fixed and embedded tissue for months before capture. The methods for fixation, embedding, sectioning, and capturing of plant cells that we describe yield high-quality RNA suitable for making libraries for RNASeq. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Tissue Preparation for Laser Capture Microdissection Basic Protocol 2: Tissue Sectioning Basic Protocol 3: Laser Capture Microdissection of Embedded Tissue Basic Protocol 4: RNA Extraction from Laser Capture Microdissection Samples.

A High-Throughput Workflow for FFPE Tissue Proteomics.

Laser capture microdissection (LCM) has become an indispensable tool for mass spectrometry-based proteomic analysis of specific regions obtained from formalin-fixed paraffin-embedded (FFPE) tissue samples in both clinical and research settings. Low protein yields from LCM samples along with laborious sample processing steps present challenges for proteomic analysis without sacrificing protein and peptide recovery. Automation of sample preparation workflows is still under development, especially for samples such as laser-capture microdissected tissues. Here, we present a simplified and rapid workflow using adaptive focused acoustics (AFA) technology for sample processing for high-throughput FFPE-based proteomics. We evaluated three different workflows: standard extraction method followed by overnight trypsin digestion, AFA-assisted extraction and overnight trypsin digestion, and AFA-assisted extraction simultaneously performed with trypsin digestion. The use of AFA-based ultrasonication enables automated sample processing for high-throughput proteomic analysis of LCM-FFPE tissues in 96-well and 384-well formats. Further, accelerated trypsin digestion combined with AFA dramatically reduced the overall processing times. LC-MS/MS analysis revealed a slightly higher number of protein and peptide identifications in AFA accelerated workflows compared to standard and AFA overnight workflows. Further, we did not observe any difference in the proportion of peptides identified with missed cleavages or deamidated peptides across the three different workflows. Overall, our results demonstrate that the workflow described in this study enables rapid and high-throughput sample processing with greatly reduced sample handling, which is amenable to automation.

Abstract 4803: BMAL2 is a KRAS-dependent master regulator of hypoxic response in pancreatic ductal adenocarcinoma

Abstract To identify novel drivers of PDA malignancy, we employed a regulatory network analysis, which accurately infers the activity of transcription factors and other regulatory proteins based on the integrated expression of their positive and negative target genes. This highly validated approach enables the identification of the most hyper-activated and hyper-repressed regulatory proteins (i.e. the “master regulators (MRs)”) that drive phenotypic distinctions. We applied this technique to a set of 200 laser capture microdissected human PDA samples as well as 45 low-grade precursors for which we had matched histopathological, clinical, and epidemiological annotation. We identified the MRs associated with four malignancy phenotypes: precursors vs. PDA (initiation), low-grade vs. high grade histopathology (progression), survival post resection, and association with KRAS activity. Integrating across these phenotypes, the top MR of PDA malignancy was found to be BMAL2, a member of the PAS family of bHLH transcription factors. Although the canonical function of BMAL2 is linked to the circadian rhythm protein CLOCK, gene set enrichment analysis highlighted a potential role in hypoxia response. We previously demonstrated that PDA in humans and in the genetically engineered “KPC” mouse model is hypovascularized, hypoperfused, and profoundly hypoxic, with a partial oxygen pressure <1mmHg. Given the close homology of BMAL2 to HIF1B (ARNT) and its potential to heterodimerize with HIF1A, we investigated whether BMAL2 plays a role in the hypoxic response of PDA. Indeed, BMAL2 activity was induced in response to hypoxia and inhibited following treatment with multiple RAF, MEK, and ERK inhibitors, validating its computationally-inferred association with RAS activity. Strikingly, knockout or knockdown of BMAL2 in human PDAC cells led to defects in viability and invasion in the setting of hypoxia. BMAL2 knockout cells lost the ability to induce glycolysis upon exposure to severe hypoxia and this was associated with a loss of expression of the glycolysis enzyme LDHA. A large-scale CRISPR screen found that LDHA was the single most critical gene necessary for viability of PDA cells in the setting of hypoxia. Moreover, the set of inferred transcriptional targets of BMAL2 were highly enriched in hypoxia-responsive proteins, including GLUT1, the second top hit in our hypoxia survival CRISPR screen. Strikingly, knockout of BMAL2 led to a complete loss of HIF1A stabilization in response to hypoxia, consistent with the stabilizing role of HIF1A heterodimerization partners such as HIF1B. By contrast, HIF2A was further upregulated under hypoxia in the setting BMAL2 loss. We conclude that BMAL2 is a key master regulator of hypoxia responses in PDA that serves as a molecular switch between the disparate metabolic roles of HIF1A- and HIF2A-dependent hypoxia responses. This will be further validated in ongoing metabolomic studies Citation Format: Alvaro Curiel Garcia, Carlo H. Maurer, Kate Hollinshead, Pasquale Laise, Anthony Andren, Stephen A. Sastra, Carmine F. Palermo, Irina R. Sagalovskiy, Li Zhang, Sam Holmstrom, Kristen Johnson, Gulam A. Manji, Alina Luga, Costas A. Lyssiotis, Andrea Califano, Alec Kimmelman, Kenneth P. Olive. BMAL2 is a KRAS-dependent master regulator of hypoxic response in pancreatic ductal adenocarcinoma. [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 4803.

Abstract 6066: Genomic analysis of end-stage renal disease

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. Given the high incidence of renal cell carcinoma (RCC) in hemodialysis patients, suggesting 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. Method: We enrolled 5 patients under hemodialysis who were accompanied by acquired cystic kidney disease and underwent radical nephrectomy for RCC. Surgical specimens were fixed with alcohol-based solution and paraffin-embedded, and after H&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. Result: In total, we collected 161 LCM samples, including 118 from proximal tubules, 17 from collecting ducts, and 26 from cysts. 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, proximal tubules and cysts showed 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, Tomomi Nishimura, Koichi Watanabe, Hiroko Tanaka, Satoru Miyano, Dai Takamatsu, Keisuke Monji, Eiji Kashiwagi, Masaki Shiota, Junichi Inokuchi, Masatoshi Eto, Seishi Ogawa. Genomic analysis of end-stage renal disease [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 6066.

Abstract P5-13-04: Clonal evolution of mammary epithelial cells into breast cancers

Abstract [Introduction] Proliferative lesions in the breast have been implicated in the development of breast cancer. Previous studies showed that some proliferative lesions and adjacent breast cancers shared common genetic alterations, suggesting that these originated from the same ancestral cell. However, the clonal structure of normal epithelia and their clonal history during evolution to cancer are poorly understood. In this study, we analyzed genetic profiles of normal epithelia and proliferative lesions in the cancer-borne breast to illustrate the clonal evolution of cancer from a normal epithelial cell. [Methods] Single cell-derived organoids (n=47) were established from breast milk of 4 healthy women aged 22–36 and normal breast tissue of 15 breast cancer patients aged 29–83 to evaluate somatic mutation rate in normal epithelial cells. Multiple normal lobules and proliferative lesions together with cancer lesions were collected using laser-capture micro-dissection (LCM) from fresh frozen (n=3) or formalin-fixed paraffin-embedded (n=5) surgical specimens in 9 premenopausal breast cancer patients. Somatic mutations and copy number alterations were evaluated using whole-genome sequencing. [Results] The mutation profile of single cell-derived organoids suggests that somatic mutations accumulate in normal mammary epithelial cells at a constant rate of 19.4/genome/year before menopause, and the mutation rate decreases to 6.9/genome/year after menopause. Parity was negatively associated with mutation number (-49.3 per life birth). In total, we analyzed 143 LCM samples, including those from 72 normal lobules, 43 proliferative lesions, and 19 non-invasive and 9 invasive cancer samples. Five cases showed a large expansion of proliferative lesions sharing a substantial number of somatic mutations with cancer. These lesions expanded over a distance of 35-90 mm, sharing tens to hundreds of mutations including those in breast cancer-related driver genes, such as PIK3CA, AKT1, GATA3, CBFB and PTEN, while harboring private mutations or copy number alterations of their own. Of interest, the cancers in 4 out of these 5 cases was luminal-A type invasive ducal carcinoma or ER-positive HER2-negative ductal carcinoma in situ, and characterized in common by the presence of der(1;16), concurrent whole-arm 1q gain and 16q loss, in both cancer and proliferative lesions. Phylogenetic analysis adapted with the mutation rate in normal cells predicted that der(1;16) had been acquired between puberty and early 20’s, and the common ancestors of non-cancerous and cancerous lesions emerged by early 30’s, >10 years earlier than at the time of cancer diagnosis. By contrast, analysis of non-cancerous lobules unrelated to cancer showed that der(1;16)-negative non-cancer clones that had emerged after puberty stayed within a single lobule or spatially confined to adjacent lobules and rarely expanded to a large area as observed for those carrying der(1;16), even if the clones had acquired mutations in driver genes such as PIK3CA and PIK3R1, which highlighted the role of der(1;16) in wide clonal expansion. [Conclusions] Our results suggest that in some breast cancer cases, particularly in those with der(1;16), a highly recurrent translocation accounting for the major subset of Luminal A breast cancer, the clones with the funder driver alterations expanded macroscopically long before the onset of cancer, in which further clonal evolutions recursively occur multi-focally, giving rise to multiple proliferative lesions and ultimately, invasive cancers. Our findings provide new insight into the early development of breast cancer. Citation Format: Tomomi Nishimura, Nobuyuki Kakiuchi, Kenichi Yoshida, Takaki Sakurai, Tatsuki R. Kataoka, Eiji Kondoh, Yoshitsugu Chigusa, Masahiko Kawai, Morio Sawada, Takuya Inoue, Yasuhide Takeuchi, Hirona Maeda, Satoko Baba, Yusuke Shiozawa, Ryunosuke Saiki, Masahiro M. Nakagawa, Yasuhito Nannya, Yotaro Ochi, Tomonori Hirano, Yukiko Inagaki-Kawata, Kosuke Aoki, Masahiro Hirata, Eiji Suzuki, Masahiro Takada, Masahiro Kawashima, Kosuke Kawaguchi, Kenichi Chiba, Yuichi Shiraishi, Junko Takita, Satoru Miyano, Masaki Mandai, Kengo Takeuchi, Hironori Haga, Masakazu Toi, Seishi Ogawa. Clonal evolution of mammary epithelial cells into breast cancers [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 P5-13-04.

Enhanced Spatial Mapping of Histone Proteoforms in Human Kidney Through MALDI-MSI by High-Field UHMR-Orbitrap Detection.

Core histones including H2A, H2B, H3, and H4 are key modulators of cellular repair, transcription, and replication within eukaryotic cells, playing vital roles in the pathogenesis of disease and cellular responses to environmental stimuli. Traditional mass spectrometry (MS)-based bottom-up and top-down proteomics allows for the comprehensive identification of proteins and of post-translational modification (PTM) harboring proteoforms. However, these methodologies have difficulties preserving near-cellular spatial distributions because they typically require laser capture microdissection (LCM) and advanced sample preparation techniques. Herein, we coupled a matrix-assisted laser desorption/ionization (MALDI) source with a Thermo Scientific Q Exactive HF Orbitrap MS upgraded with ultrahigh mass range (UHMR) boards for the first demonstration of complementary high-resolution accurate mass (HR/AM) measurements of proteoforms up to 16.5 kDa directly from tissues using this benchtop mass spectrometer. The platform achieved isotopic resolution throughout the detected mass range, providing confident assignments of proteoforms with low ppm mass error and a considerable increase in duty cycle over other Fourier transform mass analyzers. Proteoform mapping of core histones was demonstrated on sections of human kidney at near-cellular spatial resolution, with several key distributions of histone and other proteoforms noted within both healthy biopsy and a section from a renal cell carcinoma (RCC) containing nephrectomy. The use of MALDI-MS imaging (MSI) for proteoform mapping demonstrates several steps toward high-throughput accurate identification of proteoforms and provides a new tool for mapping biomolecule distributions throughout tissue sections in extended mass ranges.

Spatial quantitation of antibiotics in bone tissue compartments by laser-capture microdissection coupled with UHPLC-tandem mass spectrometry

Bones are the site of multiple diseases requiring chemotherapy, including cancer, arthritis, osteoporosis and infections. Yet limited methodologies are available to investigate the spatial distribution and quantitation of small molecule drugs in bone compartments, due to the difficulty of sectioning undecalcified bones and the interference of decalcification methods with spatially resolved drug quantitation. To measure drug concentrations in distinct anatomical bone regions, we have developed a workflow that enables spatial quantitation of thin undecalcified bone sections by laser-capture microdissection coupled to HPLC/tandem mass spectrometry, and spatial mapping on adjacent sections by mass spectrometry imaging. The adhesive film and staining methods were optimized to facilitate histology staining on the same sections used for mass spectrometry image acquisition, revealing drug accumulation in the underlying bone tissue architecture, for the first time. Absolute spatial concentrations of rifampicin, bedaquiline, doxycycline, vancomycin and several of their active metabolites are shown for both small rodent bones and larger rabbit bones that more closely resemble human bone density. Overlaid MALDI mass spectrometry images of drugs and histology staining enabled the generation of semi-quantitative data from regions of interest within anatomical bone compartments. These data correlated with absolute drug concentrations determined by HPLC–MS/MS in laser-capture microdissection samples. Collectively, these techniques enable semi- and fully quantitative drug distribution investigations within bone tissue compartments for the first time. Our workflow can be translated to image and quantify not only drugs but also biomarkers of disease to investigate drug penetration as well as mechanisms underlying bone disorders.Graphical abstract

Biological Misinterpretation of Transcriptional Signatures in Tumor Samples Can Unknowingly Undermine Mechanistic Understanding and Faithful Alignment with Preclinical Data.

Precise mechanism-based gene expression signatures (GES) have been developed in appropriate in vitro and in vivo model systems, to identify important cancer-related signaling processes. However, some GESs originally developed to represent specific disease processes, primarily with an epithelial cell focus, are being applied to heterogeneous tumor samples where the expression of the genes in the signature may no longer be epithelial-specific. Therefore, unknowingly, even small changes in tumor stroma percentage can directly influence GESs, undermining the intended mechanistic signaling. Using colorectal cancer as an exemplar, we deployed numerous orthogonal profiling methodologies, including laser capture microdissection, flow cytometry, bulk and multiregional biopsy clinical samples, single-cell RNA sequencing and finally spatial transcriptomics, to perform a comprehensive assessment of the potential for the most widely used GESs to be influenced, or confounded, by stromal content in tumor tissue. To complement this work, we generated a freely-available resource, ConfoundR; https://confoundr.qub.ac.uk/, that enables users to test the extent of stromal influence on an unlimited number of the genes/signatures simultaneously across colorectal, breast, pancreatic, ovarian and prostate cancer datasets. Findings presented here demonstrate the clear potential for misinterpretation of the meaning of GESs, due to widespread stromal influences, which in-turn can undermine faithful alignment between clinical samples and preclinical data/models, particularly cell lines and organoids, or tumor models not fully recapitulating the stromal and immune microenvironment. Efforts to faithfully align preclinical models of disease using phenotypically-designed GESs must ensure that the signatures themselves remain representative of the same biology when applied to clinical samples.

Abstract 6085: Clonal evolution of mammary epithelial cells into breast cancers

Abstract [Introduction] Previous studies suggested that breast cancers (BCs) and some adjacent atypical proliferative lesions evolved from the same ancestral cell. However, the clonal structure of normal epithelial cells and their clonal history during evolution to cancer are poorly understood. In this study, we analyzed genetic profiles of normal epithelia and proliferative lesions in the cancer-borne breast to illustrate the clonal evolution of cancer from a normal epithelial cell. [Methods] Single cell-derived normal epithelial organoids (n=47) were established from breast milk of 4 healthy women aged 22-36 and surgical specimens of 15 BC patients aged 29-83 to evaluate somatic mutation rate. Multiple normal lobules or proliferative lesions together with cancer cells were collected using laser-capture micro-dissection (LCM) from fresh frozen (n=3) or formalin-fixed paraffin-embedded (n=6) surgical specimens in 9 premenopausal BC patients. Somatic mutations and copy number alterations were evaluated using whole-genome sequencing. [Results] On the basis of single cell-derived mammary gland-derived organoids, somatic mutations increased in mammary gland cells at a constant rate of 19.4/genome/year before menopause, which then decreased to 6.9/genome/year after menopause. Parity was negatively associated with mutation number (-49.3 per life birth). In total, we analyzed 113 LCM samples, including those from 66 normal lobules, 28 proliferative lesions, and 14 non-invasive and 5 invasive cancer samples. Phylogenetic analysis showed that most of the neighboring normal lobules (53/66) from 3 BC patients shared no somatic mutations with each other and therefore were clonally independent. In other 13 normal lobules, shared mutations including a PIK3CA mutation were observed across multiple adjacent samples, although they were still confined to <10 mm regions. By contrast, we found a large expansion of proliferative lesions sharing a substantial number of somatic mutations with cancer in 5 out of the 6 remaining BC cases. They were expanded over a distance of 25-85 mm, sharing tens to hundreds of mutations including those in BC-related driver genes, such as PIK3CA, AKT1, GATA3, CBFB and PTEN. Of interest, Tumors in 4 out of these 5 cases was Luminal-A type and characterized in common by the presence of 1q gain and 16q loss (1q+/16q-) in both cancer and proliferative lesions. Phylogenetic analysis adapted with the mutation rate in normal cells predicted that 1q+/16q- had been acquired during adolescence to mid-20s, where the clonal expansion had occurred years to decades before the onset of cancer. [Conclusions] Our results suggest that in some BC cases, particularly in those with 1q+/16q-, the clones with the founder driver mutations expanded macroscopically long before the onset of cancer, in which further clonal evolutions recursively occur multi-focally, giving rise to multiple proliferative lesions and ultimately, invasive cancers. Citation Format: Tomomi Nishimura, Nobuyuki Kakiuchi, Kenichi Yoshida, Yasuhide Takeuchi, Hirona Maeda, Yusuke Shiozawa, Masahiro M. Nakagawa, Ryunosuke Saiki, Yotaro Ochi, Tomonori Hirano, Yukiko Kawata, Kosuke Aoki, Masahiro Hirata, Tatsuki R. Kataoka, Takaki Sakurai, Satoko Baba, Yuichi Shiraishi, Kenichi Chiba, Kengo Takeuchi, Hironori Haga, Satoru Miyano, Masakazu Toi, Seishi Ogawa. Clonal evolution of mammary epithelial cells into breast cancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 6085.

Regulation of Transplanted Fetal Hepatocyte Proliferation by Histone Post‐Translational Modifications

IntroductionHepatic cell transplantation (HCT) offers a potential therapeutic alternative to orthotopic liver transplantation for end‐stage liver disease and could help relax the current reliance on scarce donor livers. While transplanted adult hepatocytes have shown a limited window of post‐transplant efficacy, fetal hepatocytes have been demonstrated to durably persist and proliferate in animal models and human clinical trials. Ethical procurement concerns prevent human fetal cells from being used in the clinic, making it important to characterize the mechanisms responsible for their growth advantage in order to activate this phenotype in adult hepatocytes or induced hepatocyte‐like cells. Our study examines histone post‐translational modification (hPTM) and gene expression profiles of fetal‐derived colonies and paired adult host tissue, compared to primary fetal and adult hepatocytes.MethodsPost‐transplant livers from our rat model were frozen, cryosectioned, and stained for fetal‐derived colonies. Sections of colony and host tissue from the same liver were collected using laser capture microdissection (LCM), and pre‐transplant adult and fetal rat hepatocytes were isolated or immunopurified using hepatic and ductal lineage markers. Histones were extracted from these tissue and cell samples for hPTM abundance quantification by mass spectrometry, and RNA was extracted for next‐gen sequencing. Data was analyzed using R, Gene Ontology (GO), and Ingenuity Pathway Analysis (IPA).Results13 PTMs of Histone H3 were found to have significantly different relative abundance between fetal‐derived colonies and host tissue as well as between fetal and adult hepatocytes, with the majority of marks having consistent abundance trends. RNA‐Seq expression profiles segregated the LCM samples by colony or host origin. Differential expression analysis found ≅1,000 significantly differentially expressed genes (DEGs) between colony and host tissue, and hundreds of these were found to also be similarly differentially expressed between fetal and adult hepatocytes. When analyzed by GO and IPA, the DEGs found to be expressed higher in fetal‐derived colonies revealed enrichment of ion transmembrane transport and calcium signaling pathways.ConclusionsFor at least 10 months following transplantation into an adult liver microenvironment, fetal‐hepatocyte‐derived colonies retain a distinct subset of both hPTM abundance and mRNA expression patterns in common with pre‐transplant fetal cells. These retained differences may drive the competitive growth advantage seen in fetal cells post‐transplant, and could potentially be harnessed to improve HCT outcomes. The differentially‐abundant hPTMs in colony tissue were all on Histone H3 and have known associations with gene transcription activity, and the colony DEGs reflect enrichment of biological processes associated with nutrient uptake, proliferation, and signaling. Our future work will explore the link between specific differentially expressed genes and the differentially abundant hPTMs that may be regulating them via ChIP‐Seq analysis of these histone marks.

Hanging drop sample preparation improves sensitivity of spatial proteomics.

Spatial proteomics holds great promise for revealing tissue heterogeneity in both physiological and pathological conditions. However, one significant limitation of most spatial proteomics workflows is the requirement of large sample amounts that blurs cell-type-specific or microstructure-specific information. In this study, we developed an improved sample preparation approach for spatial proteomics and integrated it with our previously-established laser capture microdissection (LCM) and microfluidics sample processing platform. Specifically, we developed a hanging drop (HD) method to improve the sample recovery by positioning a nanowell chip upside-down during protein extraction and tryptic digestion steps. Compared with the commonly-used sitting-drop method, the HD method keeps the tissue pixel away from the container surface, and thus improves the accessibility of the extraction/digestion buffer to the tissue sample. The HD method can increase the MS signal by 7 fold, leading to a 66% increase in the number of identified proteins. An average of 721, 1489, and 2521 proteins can be quantitatively profiled from laser-dissected 10 μm-thick mouse liver tissue pixels with areas of 0.0025, 0.01, and 0.04 mm2, respectively. The improved system was further validated in the study of cell-type-specific proteomes of mouse uterine tissues.

Microarray-based gene expression analysis combined with laser capture microdissection is beneficial in investigating the modes of action of ocular toxicity.

The retina consists of several layers, and drugs can affect the retina and choroid separately. Therefore, investigating the target layers of toxicity can provide useful information pertaining to its modes of action. Herein, we compared gene expression profiles obtained via microarray analyses using samples of target layers collected via laser capture microdissection and samples of the whole globe of the eye of rats treated with N-methyl-N-nitrosourea. Pathway analyses suggested changes in the different pathways between the laser capture microdissection samples and the whole globe samples. Consistent with the histological distribution of glial cells, upregulation of several inflammation-related pathways was noted only in the whole globe samples. Individual gene expression analyses revealed several gene expression changes in the laser capture microdissection samples, such as caspase- and glycolysis-related gene expression changes, which is similar to previous reports regarding N-methyl-N-nitrosourea-treated animals; however, caspase- and glycolysis-related gene expressions did not change or changed unexpectedly in the whole globe samples. Analyses of the laser capture microdissection samples revealed new potential candidate genes involved in the modes of action of N-methyl-N-nitrosourea-induced retinal toxicity. Collectively, our results suggest that specific retinal layers, which may be targeted by specific toxins, are beneficial in identifying genes responsible for drug-induced ocular toxicity.

A growing genetic tree in the soil of prostate.

In this issue of Cell Stem Cell, Grossmann etal. (2021) reconstructed the developmental history of the prostate gland in a 59-year-old male by 3D tracking of somatic mutations across 319 micro-dissected specimens. It provides a genetic picture of how the human prostate gland is shaped during embryogenesis, puberty, and adult life.

Gene Expression Changes Associated with Dedifferentiation in Liposarcoma Predict Overall Survival.

Simple SummaryPrevious studies have performed integrative analyses of genomic aberrations in soft tissue sarcomas. Utilising clinical information, groups have proposed nomograms for prediction of survival and recurrence in retroperitoneal sarcomas. Expanding on clinical nomogram prediction models with molecular classification of tumours may allow us to further identify clinical phenotypes within this heterogeneous group. We showed that a five-gene molecular prognostic panel can provide additional prognostic information in patients with retroperitoneal DDLS, independent of clinical features. A combined clinical and molecular prediction model may offer the best way to prognosticate patients for patient counselling and therapeutic decision making.Up to 10% of well-differentiated liposarcoma (WDLS) progress to dedifferentiated liposarcoma (DDLS). We aimed to identify gene expression changes associated with dedifferentiation and whether these were informative of tumour biology of DDLS. We analysed datasets from the Gene Expression Omnibus (GEO, ID = GSE30929) database to identify differentially expressed genes between WDLS (n = 52) and DDLS (n = 39). We validated the signature on whole and laser-capture microdissected samples from patients with tumours consisting of mixed WDLS and DDLS components. A subset of this signature was applied to an independent dataset from The Cancer Genome Atlas (TCGA, n = 58 DDLS) database to segregate samples based on gene expression and compared for recurrence and overall survival (OS). A 15-gene signature consisting of genes with increased expression in DDLS compared to WDLS was generated. This signature segregated WDLS and DDLS samples from patients with mixed component tumours and across multiple recurrences. A further subset of this signature, consisting of five genes (AQP7, ACACB, FZD4, GPD1, LEP), segregated DDLS in a TCGA cohort with a significant difference in OS (p = 0.019) and recurrence-free survival (RFS) (p = 0.061). The five-gene model stratified DDLS into prognostic groups and outperformed clinical factors in existing models in retroperitoneal DDLS.

Parallel, High-Quality Proteomic and Targeted Metabolomic Quantification Using Laser Capture Microdissected Tissues.

Quantitative proteomics/metabolomics investigation of laser-capture-microdissection (LCM) cell populations from clinical cohorts affords precise insights into disease/therapeutic mechanisms, nonetheless high-quality quantification remains a prominent challenge. Here, we devised an LC/MS-based approach allowing parallel, robust global-proteomics and targeted-metabolomics quantification from the same LCM samples, using biopsies from prostate cancer (PCa) patients as the model system. The strategy features: (i) an optimized molecular weight cutoff (MWCO) filter-based separation of proteins and small-molecule fractions with high and consistent recoveries; (ii) microscale derivatization and charge-based enrichment for ultrasensitive quantification of key androgens (LOQ = 5 fg/1k cells) with excellent accuracy/precision; (iii) reproducible/precise proteomics quantification with low-missing-data using a detergent-cocktail-based sample preparation and an IonStar pipeline for reproducible and precise protein quantification with excellent data quality. Key parameters enabling robust/reproducible quantification have been meticulously evaluated and optimized, and the results underscored the importance of surveying quantitative performances against key parameters to facilitate fit-for-purpose method development. As a proof-of-concept, high-quality quantification of the proteome and androgens in LCM samples of PCa patient-matched cancerous and benign epithelial/stromal cells was achieved (N = 16), which suggested distinct androgen distribution patterns across cell types and regions, as well as the dysregulated pathways involved in tumor-stroma crosstalk in PCa pathology. This strategy markedly leverages the scope of quantitative-omics investigations using LCM samples, and combining with IonStar, can be readily adapted to larger-cohort clinical analysis. Moreover, the capacity of parallel proteomics/metabolomics quantification permits precise corroboration of regulatory processes on both protein and small-molecule levels, with decreased batch effect and enhanced utilization of samples.

Abstract P54: Endothelial Cells and Pericytes Collection Using Laser Capture Microdissection in Spontaneously Hypertensive Stroke Prone Rats

Introduction: Neurovascular unit (NVU) dysfunction plays a key role in cerebral small vessel disease (cSVD) pathogenesis. Spontaneously Hypertensive Rats - Stroke Prone (SHRSP) is a relevant model for cSVD where prominent impairment of the NVU has been identified. Previous studies of SHRSP and Wistar-Kyoto control rats (WKY) were performed at tissue level failing to capture the NVU cellular components where the early pathological events occur. Therefore, we developed a novel method for selective endothelial cell (EC) and pericytes capture using Laser Capture Microdissection (LCM). Methods: 10 SHRSP and 10 WKY male rats were studied at 16 weeks of age. Prior to brain collection, lectin was administered using intracardiac injection for vessel identification. Rapid frozen immunohistochemistry (IHC) staining protocol was optimized by selecting a panel of antibodies that showed first specific staining pattern for EC and pericytes in a routine overnight IHC protocol. LCM collection was subsequently optimized to achieve collection of 1.5-2 million μm 2 of tissue in 30 minutes to ensure RNA stability. RNA was isolated from the LCM samples using PicoPure RNA isolation kit (ThermoFisher Scientific, Inc.) and RNA quantity was measured using NanoDrop technology. qRT-PCR we performed to measure the expression of smooth muscle actin (ACTA2) (pericytes), von Willebrand Factor (vWF) (EC). Results: Following optimization of overnight and rapid staining protocols, platelet-derived growth factor (PDGRF) beta (ABCAM, Inc.) (1:10 concentration) showed best results for perdicytes identification while RCA lectin (Vector labs, Inc.) (1:20 concentration) showed best results for EC. Co-staining with CD31 antibody was performed to confirm the specificity of RCA lectin binding to EC. RNA isolation protocol achieved good RNA collection quantity (4-8) ng/μl. qRT-PCR showed higher expression of ACTA2 (9.5-fold increase) in PDGRF+ elements, 2.8-fold increase of vWF (lectin+ elements) compared to (PDGRF-, lectin -) elements confirming the enrichment of these elements by EC and pericytes. Conclusion: LCM is feasible in achieving good quality collection of EC and pericyte in SHRSP and WKY allowing for investigation of the proteomic and transcriptomic changes that result in cSVD.