United States

Background: From neoangiogenesis to tissue regeneration, the greater omentum has been used in a variety of unlikely, but innovative ways in surgical research. Despite its surgical importance, the greater omentum’s anatomy has not been systematically characterized. Previously collected cadaveric omenta revealed statistical differences between sex and omental mass and volume without any available information on BMI. This research will continue to collect greater omenta metrics and further investigate the role of BMI in biometrics using cadaveric omenta and estimations of stature and body mass.  

Methods: Greater omenta were collected and measured from 30 embalmed cadavers. Maximum femoral length (MFL) and femoral head diameter (FHD) were collected from each respective cadaver to estimate height and weight, respectively. Statistical analysis using R compared anatomical parameters with age, sex, body mass, stature, and BMI using a student’s t-test and linear regression.   

Results: Sex differences in omental mass, volume, and surface area (P &lt; 0.05). Sex differences in estimated body mass, stature, and BMI (P &lt; 0.01). Age negatively correlated with estimated BMI, stature, and body mass (P &lt; 0.001). Age negatively correlated with omental length (P &lt; 0.05). Estimated stature positively correlated with omental biometrics, body mass, and BMI (P &lt; 0.001). 

Conclusion: Recent studies claim that BMI plays a role in omental biometrics. Since height, weight, and BMI were unavailable from the cadavers, this research used published equations to estimate body mass and stature. Omental mass, volume, and surface area demonstrated significant differences between males and females, correlating well with the significant differences between anthropometrics between sexes. Omental mass and volumes were positively correlated with estimated cadaver height. Omental length, estimated stature, body mass, and BMI decrease with increased age. Future studies aim to validate cadaveric height with estimated stature as well as increase sample size. Delineating the factors that influence omental biometrics will improve predicted omental size prior to operation. 

AMA Research Challenge 2023

Gaining Momentum on the Greater Omentum’s Biometric Correlation with Human Size

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AMA Research Challenge 2022

Welcome to the largest national, multi-specialty research event featuring research from 750 medical students, residents and fellows, and international medical graduates.


Background: From neoangiogenesis to tissue regeneration, the greater omentum has been used in a variety of unlikely, but innovative ways in surgical research. Despite its surgical importance, the greater omentum’s anatomy has not been systematically characterized. Previously collected cadaveric omenta revealed statistical differences between sex and omental mass and volume without any available information on BMI. This research will continue to collect greater omenta metrics and further investigate the role of BMI in biometrics using cadaveric omenta and estimations of stature and body mass.  

Methods: Greater omenta were collected and measured from 30 embalmed cadavers. Maximum femoral length (MFL) and femoral head diameter (FHD) were collected from each respective cadaver to estimate height and weight, respectively. Statistical analysis using R compared anatomical parameters with age, sex, body mass, stature, and BMI using a student’s t-test and linear regression.   

Results: Sex differences in omental mass, volume, and surface area (P < 0.05). Sex differences in estimated body mass, stature, and BMI (P < 0.01). Age negatively correlated with estimated BMI, stature, and body mass (P < 0.001). Age negatively correlated with omental length (P < 0.05). Estimated stature positively correlated with omental biometrics, body mass, and BMI (P < 0.001). 

Conclusion: Recent studies claim that BMI plays a role in omental biometrics. Since height, weight, and BMI were unavailable from the cadavers, this research used published equations to estimate body mass and stature. Omental mass, volume, and surface area demonstrated significant differences between males and females, correlating well with the significant differences between anthropometrics between sexes. Omental mass and volumes were positively correlated with estimated cadaver height. Omental length, estimated stature, body mass, and BMI decrease with increased age. Future studies aim to validate cadaveric height with estimated stature as well as increase sample size. Delineating the factors that influence omental biometrics will improve predicted omental size prior to operation.

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The 2023 American Medical Association Research Challenge includes a poster symposium hall and a semifinals hall with the top scored research. **Log in at any time throughout the event to:**

* **View posters and presentations** on a variety of topics and specialties
* **Score posters in the semifinals** to help decide the top five finalists (AMA member exclusive opportunity)
* **Connect with participants** and provide feedback to help advance their research
* **Attend education sessions** with physician experts on key research topics

At the conclusion of this event, the AMA will announce the top five finalists who will advance to the AMA Research Challenge finals, present their research to an elite panel of judges, and compete to win a $10,000 grand prize sponsored by Laurel Road. 

### Grand Prize Sponsor

AMA would like to thank Laurel Road for sponsoring a $10,000 grand prize for the winner of the AMA Research Challenge. Laurel Road is not involved in the judging or scoring process to select the winner. The winner will be announced on February 4, 2024 during the AMA Research Challenge finals. Payment of the grand prize will be directly from Laurel Road. See the AMA Research Challenge Official Rules for terms and conditions.

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Join the AMA Research Challenge poster symposium and semifinals to explore top research posters, score posters in the semifinals (an AMA member exclusive opportunity) and attend education sessions with experienced physicians to learn tips to advance your research and career. 

The neuropeptide hormone, endothelin (specially, ET-1) plays an important role in the invasiveness of breast cancer. High ET-1 levels are associated with decreased disease-specific survival. Very few studies highlight the differential expression of ET-1 and its receptors ETAR and ETBR among triple negative breast cancer (TNBC), non-TNBC, and normal phenotypes. The purpose of the present study was to find out whether the expression of ET-1, ETAR and ETBR is higher in TNBC cells versus non-TNBC and normal cells. An association between higher expression of ET-1 axis and promotion of aggressive TNBC phenotype could represent ET-1 axis as useful biomarkers of TNBC prognosis and potential therapeutic targets. Our hypothesis is that expression levels of ET-1 and its receptors might play an important role in the development and progression of TNBC cells as compared to non-TNBC and normal cells. We aimed to assess the possible prognostic and predictive values of ET-1, ETAR and ETBR by studying their mRNA expression and protein levels in TNBC and non-TNBC via formalin fixed paraffin embedded breast tissue from 4 subjects with TNBC and 4 normal subjects, representing non-TNBC. Western blot, immunofluorescent, and immunohistochemical analysis served to quantify the differential expression. Results from Western Blotting showed ET1 levels were 81.6% higher, ETAR levels were 35% higher, and ETBR levels were 30% higher in TNBC vs non-TNBC cell lines. Immunofluorescence revealed greater intensity of ETBR in all cell lines compared to ETAR, greater expression of ET-1 and ETBR in TNBC cell lines, HCC-1806 and MDA- 231, and greater expression of ETBR in the nucleus of all cell lines and of all proteins in MDA- 231. Immunohistochemistry visually depicted greater staining of ET1, ETAR, and ETBR and quantitatively showed approximately 20% higher ET1, 40% higher ETAR, and 20% higher ETBR positive cells in TNBC vs normal breast tissue. Due to the similar results obtained from Western blot analysis with cell lines and immunohistochemical analysis with breast tissue, our hypothesis that expression of ET-1 and its receptors is higher In TNBC than non- TNBC and control is validated and thus could guide subsequent investigations for targeted pharmaceuticals against these biomarkers in TNBC.

Differential Expression of Endothelin-l (ET1) and its receptors, Endothelin Receptor Type A (ETAR) and Endothelin Receptor Type B (ETBR) between subjects with Normal, Triple

Background: Decidua natural killer (dNK) cells accumulate at the maternal-fetal interface during implantation and placentation. These cells are CD56brightCD16dim/neg, poorly cytotoxic, anti-inflammatory, and proangiogenic; characteristics shared by tumor infiltrated NK cells. We, and others, found that peripheral blood NK cells (pNK; CD56dimCD16bright) can be converted to dNK-like cells in vitro by exposure to hypoxia (1% O2) or TGFβ. However, it is unknown whether mechanisms driving these alterations are analogous or independent. We hypothesized that hypoxia inducible factor (HIF)1α, a known driver of VEGF, also induces TGFβ receptors to suppress NK function.

Methods: Healthy donors (HD) and kidney cancer (KCa) patient pNK were purified by negative selection. Flow cytometry, RT-qPCR, and ELISA assessed expression of NK markers (CD56, CD16), TGFβ receptors (R1, R2), and VEGF. HD pNK cells were cultured in 21% or 1% O2 and in presence or absence of TGFβ (2ng/mL). Functional conversion of HD pNK to dNK-like cells was gauged by VEGF and cytotoxicity. The impact of hypoxia on TGFβ receptors was assessed for pNK exposed to 1% O2 versuses 21% O2, and HIF1α-specific effects determined for cells transduced with lentivirus to overexpress HIF1α. Statistics (ANOVA/t-test) were performed using GraphPad Prism with p0.05 considered significant.

Results: Purity of HD/KCa pNK cells was ≥87%. Compared to HD pNK (n=3), RCC pNK (n=4) had significantly higher expression of TGFβ-R1 and TGFβ-R2, and 40% lower cytotoxic activity. HD pNK cells cultured under 21% O2 were potently cytotoxic, but hypoxia or TGFβ decreased cytotoxicity by 55% and 61%, respectively. Only hypoxia upregulated VEGF mRNA (10-fold) and protein (3-fold). The combination of hypoxia and TGFβ abolished cytotoxicity by ≥88%, but VEGF expression was not increased further. In both cohorts, hypoxia upregulated all TGFβ receptors, but particularly TGFβ-R2. Finally, HIF1α overexpression increased TGFβ-R2 levels (3.5-fold).

Conclusions: Hypoxia and TGFβ independently suppressed pNK cytotoxicity, but induction of VEGF and TGFβ receptors, particularly TGFβ-R2, was unique to hypoxia. In combination, hypoxia and TGFβ potently inhibited cytotoxicity, with no additive effect on VEGF or TGFβ-R2 expression. HIF1α overexpression confirmed these hypoxia-specific effects. These studies support dual roles for hypoxia and TGFβ in dNK-like conversion. While both independently and cooperatively impact cytotoxicity, hypoxia-induced HIF1α specifically drives VEGF and TGFβ-R2 expression changes. These cellular conversions are conceivably beneficial for placentation, but exploited to support tumor growth. Thus, regulation of HIF1α and consequential NK sensitization to TGFβ likely has implications both for healthy pregnancy and cancer therapy.

Hypoxia drives functional conversion of human peripheral blood NK cells to decidua-like NK cells through TGFβ receptor induction and sensitization

Hypoxia, or low oxygen, is a common feature of solid tumors correlating with poor survival in cancer patients. Tumors attempt to re-acquire oxygen by forming new blood vessels from nearby, pre-existing vessels, a process known as angiogenesis. In tumors, angiogenesis is notoriously dysfunctional resulting in leaky, under-perfused blood vessels which cannot adequately deliver oxygen and exacerbates hypoxia. One important immune cell affected by hypoxia is the macrophage. Normally, macrophages activate killer T cells to eliminate cancer and promote new blood vessel formation. However, tumor-associated macrophages (TAMs) suppress the proliferation and activity of killer T cells preventing them from eliminating cancer cells, and TAM overactivation leads to dysfunctional angiogenesis that perpetuates the treatment-resistant, hypoxic tumor environment. Thus, molecular mechanisms in which macrophages respond to hypoxia has been investigated as potential therapeutic targets. Hypoxia stabilizes hypoxia inducible transcription factor HIF-1α. Our previous work suggested HIF-1α prompts a pro-hypoxic phenotype in macrophages. We hypothesize that macrophage HIF-1α affects the recruitment of macrophage precursors, free endothelial cells, and T cells throughout tumor progression. Understanding where these differences occur may provide insight as to when best to start treatment or when treatment is no longer effective. 


Hypoxia regulates vessel-modifying macrophages and vice versa in solid tumors


Background: Sterile inflammation and constitutive activation of pro-fibrotic cells in the stromal vascular fraction (SVF) of adipose tissue (AT) are hallmarks of obesity. Macrophages and AT progenitors play a key role in the development and progression of this pathology in fat depots. EphB2, a member of the EphB receptors, has been reported to promote hepatic and renal fibrogenesis in mice. The goal of this investigation is to test the hypothesis that defective EphB2 signalling in macrophages could potentially mitigate adipose tissue fibro-inflammation and insulin resistance in obesity. 

Methods: Disease phenotyping was performed in males and females' wild type (WT); EphB2KO (EphB2-/-); leptin-deficient ob/ob mice and in EphB2 specific deletion in macrophages (Cre+). Mice with EphB2-specific deletion in macrophages were generated by crossing EphB2-flox/flox mice with CSF1R-iMer-Cre-iMer & CX3CR1-CreERT2 and phenotype induced with tamoxifen. Mice were fed the obesogenic Gubra-Amylin NASH (GAN) diet for 6-26 weeks. Weight was recorded and glucose tolerance test (GTT) and Insulin tolerance test (ITT) performed. Mice were euthanized at the end of the study via isoflurane anesthesia in nonfasted state; liver tissue, inguinal white adipose tissue (iWAT), brown adipose tissue (BAT), epididymal white adipose tissue (eWAT) and heart were collected and weighed. Histology (H&E, Masson-trichrome and phosphor-EphB2 immunohistochemistry) was performed in iWAT and eWAT. Stromal vascular fraction and adipocyte were isolated from iWAT and eWAT and subjected to flow cytometry, and qPCR. 

Results: EphB2 receptors and EfnB2 ligands mRNA transcripts are upregulated in fat depots and liver of ob/ob mice. H&E staining, and Masson-trichrome staining of iWAT and eWAT, depicting accumulation of immune cells and fibrosis in crown-like structure of these fat depots. Immunohistochemistry of phosphoEphB1/2 shows EphB2 activation in adipose tissue of obese mice in the SVF. EphB2-/- mice displayed a reduced weight and improved glucose tolerance when fed an obesogenic diet compared to EphB2 wild type mice. Deletion of EphB2 in macrophages showed recapitulation of global knockout phenotype and diminished quantity of pro inflammatory M1 macrophages with increased M2 macrophages and polymorphonucleated neutrophils evaluated through flow cytometry. 

Conclusion: EphB/EfnB mRNA transcripts are upregulated in fat depots of obese mice and more specifically in the stromal vascular fraction of iWAT and eWAT. EphB2 signaling is activated in the stromal vascular fraction of eWAT. EphB2 deficiency mitigates weight gain and improves glucose tolerance in DIO mice. Deletion of EphB2 receptor in macrophages reduces weight gain, improves glucose tolerance, and dampens inflammatory response in obese mice producing similar phenotype to that of the global knockout. 


Dysregulation of macrophages EphB2 mitigates diet-induced obesity in mice

Background: Glycans are carbohydrate structures that can be found embedded within glycoproteins or glycolipids. They play an important role in cell membrane structure, cell signaling, and cell adhesions. Abnormal glycan expression caused by genetic mutations or cellular stressors is known in disease states like cancer. Thus, identifying variations of glycan expression in cancer tissue can be useful for diagnosis and staging. Previous research has shown that breast cancer tumor tissue has abnormal high mannose, complex, and hybrid glycan expression when compared to the surrounding unaffected tissue. The goal of our research is to look specifically at which glycans at different stages of breast cancer were abnormally expressed in tumor tissue when compared to the surrounding unaffected tissue.
Methods: Breast tissue tumor samples were collected from 39 breast cancer patients at the time of diagnosis and provided for analysis by the Prisma Health Cancer Institute Biorepository. Breast tissue “controls” were collected via sampling of surrounding unaffected tissue of the same breast cancer patients. Samples were analyzed and glycomic profiles were obtained using MALDI-TOF Mass Spectroscopy by the Emory Glycomics and Molecular Interactions Core. One-way ANOVA statistical analysis was performed using JMP statistical software.
Ó 2023 American Medical Association. All rights reserved.
Results: Significantly elevated expression of a number of glycans from all three groups (high mannose, complex, and hybrid) was detected in stage I breast cancer tumor tissue when compared with the surrounding unaffected breast tissue (p<0.05). In total, we detected 5 high mannose glycans, 19 complex glycans, and 5 hybrid glycans with significantly elevated expression in stage I breast cancer tumor tissue. when compared to the surrounding unaffected tissue.
Conclusion: Our data supports and expands previous research in the area of glycomic profiling of cancers. High mannose glycans have been shown to be elevated in breast and other, and our findings support this data in specifically stage I breast cancer tissue. Elevated expression of complex and hybrid glycans are interesting findings that could be additional promising breast cancer biomarkers for diagnosis, screening, or treatment. Further research into the cellular function of these glycans in cancer could help better understand how cancer progresses and metastasizes.

Elevated glycan expression in stage I breast cancer tumors

Background: Cancer is a leading health concern and the second highest cause of death in the United States. When considering cancer from a genomic standpoint, genes can be divided into two main categories. One category includes oncogenes, which, when mutated, develop a gain of function. The second category consists of tumor suppressor genes, which in mutated state lose their ability to protect the cell. Both oncogenes and tumor suppressor genes are known as cancer-critical genes. This analysis evaluates 50 cancer-critical genes for presence of hotspot mutations affecting various signaling pathways. Specifically, we focused on nine pathways: RTK/RAS/MAP, TGFβ, PI3K, Wnt, GPCR, p53, JAK/STAT, Notch, and the cell cycle pathway. Our study aims to enhance understanding of the impact of hotspot mutations in these 50 cancer-critical genes. Additionally, the study will aim in integration of artificial intelligence (AI) to predict personalized treatments based on the identified mutations.

Methods: We conducted an analysis of previously identified mutations in 35 breast cancer patients and 39 lung cancer patients from the Prisma Health Cancer Institute. We utilized genomic databases, including ClinVar, to gather available information and published literature about these mutations. We analyzed and recorded characteristics of each mutation, including predicted changes in protein folding, clinical significance and associated pathological conditions, possible variations, and affected signaling pathways.

Results: Among the 50 cancer-critical genes previously sequenced for hotspot mutations, we identified a total of 79 different hotspot mutations in the studied group of 74 cancer patients. Notably, for 9 of these mutations we did not find any available information. Furthermore, one mutation (KDR p.Gln472His) exhibited a very high prevalence among cancer patients. We suggest further investigation of this group of mutations for potential clinical significance.

Conclusion: The identified unknown mutations in cancer-critical genes may have clinical significance and require further investigation. The information collected in this study will contribute to the development of a comprehensive cancer patient database accessible to clinicians and researchers. Moreover, the data will be further utilized in AI applications to predict personalized treatment approaches for cancer patients.


Improving Diagnosis and Prognosis: Analysis of Gene Mutations in Breast and Lung Cancer Patients

**Scoring is only possible in the semifinals hall**

**Abstract:**



The Impact of the Tumor Microbiome on Anti-tumor Immunity in Mucosal Melanoma

Background 
Cancer-induced cachexia is a complex multifactorial syndrome characterized by loss of muscle mass and function that affects up to 80% of cancer patients which contributes to the morbidity and mortality of the disease. Despite the extensive research on cancer cachexia, its exact etiology remains unknown. There is also no consensus on effective treatment for the loss of muscle mass, which subsequently impacts the tolerance and response to anti-cancer therapies. Furthermore, little is known about the effect of muscle wasting on the neuromuscular junction (NMJ), the vital synaptic connection between the motor neuron and skeletal muscle. The primary purpose of this study is to analyze the stability of the NMJs from cachectic muscles during the initiation and progression of the muscle-wasting event. To this end, we use the genetically engineered mouse model of colorectal cancer (Apc) Min/+ that has shown tumor growth and cachexia. 

Methods 
Sternomastoid, gastrocnemius, extensor digitorum longus, soleus, and diaphragm muscles were extracted from (Apc) Min/+ and age-matched controls at 16 and 24 weeks of age. The muscles were then fixed in 4% paraformaldehyde and bathed with Alexa488™ alpha-bungarotoxin to specifically label nicotinic acetylcholine receptors (nAChRs) at the postsynaptic junctional folds. Fluorescently labeled muscles were then imaged at the confocal microscope to analyze the synapse morphology, or with an inverted fluorescence microscope to quantify fluorescence intensity. The area and the density of nAChRs were then analyzed using ImageJ. To capture relevant changes in the NMJs, we performed in vivo experiments to determine the turnover rate of nAChRs at the synapse before severe weight loss occurred. To this end, we labeled sternomastoid muscles in vivo and assessed fluorescence intensity decay over time. 

Results 
At early stages of cancer-induced cachexia (16 weeks), all muscles except sternomastoid showed a significant decrease in nAChRs density in (APC) Min/+ mice compared to controls. In advanced stages of cachexia (24 weeks), all muscles from (APC) Min/+ mice showed a significant decrease in nAChRs density. All muscles showed a significant decline in the total NMJ area in (APC) Min/+ at 16 weeks and 24 weeks. 

Conclusion 
The decreased nAChR density and NMJ area in both fast and slow twitch muscles demonstrates postsynaptic NMJ alteration in cancer-induced cachectic mice. Analysis of presynaptic cells (motor neuron and Schwann cell) will be performed to further look at the pathology of the NMJ in cancer-induced cachexia, as well as younger mice to determine when the degeneration starts. 


The Impact of Cancer-induced Cachexia on the Neuromuscular Synapse

Background
Chimeric antigen receptor (CAR) T cells have shown remarkable clinical efficacy in hematological cancers but still face significant obstacles in the treatment of solid tumors, such as pancreatic ductal adenocarcinoma (PDAC). Two major hurdles in developing effective CAR T therapies for PDAC are the identification of tumor-associated antigens (TAA) and overcoming a complex immunosuppressive tumor microenvironment (TME). We hypothesize that the optimal CAR T cell to treat PDAC recognizes an ideal TAA and protects itself from TME immunosuppression. We propose a novel CAR T cell to target the Muc16-ectodomain (Muc16CD) combined with antagonism of the vasoactive intestinal peptide (VIP) checkpoint pathway in the PDAC TME as a viable therapy to treat pancreatic tumors. 

Methods
Patient data was assessed based upon data generated by the TCGA Research Network. Primary human T cells were retrovirally transduced to express Muc16CD-directed CARs with or without secretion of VIPR antagonists. PDAC PDX tumors and CAR T cells assayed by flow cytometry for phenotype and functional profile. In vivo, Panc1-Muc16CD-GFPffLuc tumors were engrafted into SCID/Beige mice and treated with CAR T cells.

Results
Muc16 expression is significantly increased in PDAC patient tissues compared to normal pancreas and associated with decreased overall survival. Congruently, we found that PDAC PDX tumors demonstrate robust expression of both Muc16CD and VIP and are vulnerable to Muc16CD-directed CAR T cell cytotoxicity. Additionally, VIP limits the proliferative capacity of CAR T cells, which is reversed by VIPR antagonist peptides (antVIPR). Therefore, we engineered anti-Muc16CD CARs to secrete antVIPR peptides to provide continuous and localized delivery within the TME. We find that antVIPR expression by CAR T cells enhances viability, activation profile, and demonstrate less-differentiated and less exhaustive phenotypes. Functionally, antVIPR CAR T cells have enhanced activation and proliferative advantage after chronic antigen-stimulation. In a xenograft model of PDAC, antVIPR CAR T cells reduce tumor burden and improve overall survival in mice bearing human VIP-expressing PDAC tumors. At 118 days, antVIPR CAR T-treated mice have more circulating CAR T cells than parental CAR T-treated mice. 

Conclusion
Muc16CD is a clinically relevant target for CAR T therapy in PDAC. Furthermore, antagonizing the VIP checkpoint pathway in CAR T cells produces enhanced phenotypic and functional profiles. Collectively, this data demonstrates that the combination of targeting Muc16CD and VIP with a novel CAR T cell can improve anti-tumor efficacy against PDAC. The long-term goal of this work is translating antVIPR-secreting CAR T cells for the treatment of PDAC.


Using CAR T Cell-Secreted Antagonistic Peptides to Target Distinct Immune Checkpoint Pathway in Pancreatic Tumors

Background
High-throughput single-cell RNA-seq (scRNA-seq) is used to describe complex tissues by characterizing transcriptional states of individual cells. Defining a cell's position, both in regard to tissue margins and its social context, is essential for understanding the intrinsic and extrinsic variables that effect the transcriptional identity of individual cells. Conventional high-throughput scRNA-seq assays, however, decouple cells from their original locations within tissues. In situ hybridization readouts of gene expression and in situ sequencing preserve spatial information in tissues, but currently have a lower total read threshold than NextGen sequencing – imposing a restriction on either cell throughput or transcriptional breadth. Combining the above methods or using regional barcodes to define 2D positions have spatially-reconstructed tissue regions but are seldom employed in unspecialized laboratories.

Methods
We describe SEgmentation by Exogenous Perfusion (SEEP), a rapid, integrated, method for providing 3D spatial-segmentation to scRNA-seq data. Tissues are divided into layers based on accessibility of a fluorescent dye allowing sorted cells to be characterized by transcriptomic and regional identity.

Results
We use SEEP to explore how the transcriptional states of cells in high-grade serous ovarian cancer vary with respect to intratumoral position. We describe an integrated method for correlating 3D radial-spatial cell positions with scRNA-seq data. By employing a basic stain-and-sort method using an off-the-shelf live-dead stain, we are able to correlate transcriptional profiles with radial-spatial positions in both radially symmetric tissues (e.g., spheroids, organoids, spherical tumor masses) and linear tissue samples (e.g., punch biopsies). SEEP uses an imaging-based calibration step to inform the parameters of a FACS and sequencing based measurement step.

Conclusion
Across spheroid, organoid, and PDX models of high-grade serous ovarian cancer, we find common positional transcriptomic profiles, ranging from single-gene proclivities to multi-gene-set enrichments across tissue layers. The results validate long-standing beliefs regarding the relationship between cell state and position while also revealing new concepts on how the spatially unique microenvironment of individual cells within tumors influences cell identity.

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Differential Expression of Endothelin-l (ET1) and its receptors, Endothelin Receptor Type A (ETAR) and Endothelin Receptor Type B (ETBR) between subjects with Normal, Triple

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