Formalin-fixed Paraffin-embedded Tumor Research Articles

Correlation of microscopic tumor extension with tumor microenvironment in esophageal cancer patients.

In the era of image-guided adaptive radiotherapy, definition of the clinical target volume (CTV) is achallenge in various solid tumors, including esophageal cancer (EC). Many tumor microenvironmental factors, e.g., tumor cell proliferation or cancer stem cells, are hypothesized to be involved in microscopic tumor extension (MTE). Therefore, this study assessed the expression of FAK, ILK, CD44, HIF-1α, and Ki67 in EC patients after neoadjuvant radiochemotherapy followed by tumor resection (NRCHT+R) and correlated these markers with the MTE. Formalin-fixed paraffin-embedded tumor resection specimens of ten EC patients were analyzed using multiplex immunofluorescence staining. Since gold fiducial markers had been endoscopically implanted at the proximal and distal tumor borders prior to NRCHT+R, correlation of the markers with the MTE was feasible. In tumor resection specimens of EC patients, the overall percentages of FAK+, CD44+, HIF-1α+, and Ki67+ cells were higher in tumor nests than in the tumor stroma, with the outcome for Ki67+ cells reaching statistical significance (p < 0.001). Conversely, expression of ILK+ cells was higher in tumor stroma, albeit not statistically significantly. In three patients, MTE beyond the fiducial markers was found, reaching up to 31 mm. Our findings indicate that the overall expression of FAK, HIF-1α, Ki67, and CD44 was higher in tumor nests, whereas that of ILK was higher in tumor stroma. Differences in the TME between patients with residual tumor cells in the original CTV compared to those without were not found. Thus, there is insufficient evidence that the TME influences the required CTV margin on an individual patient basis. BO-EK-148042017 and BO-EK-177042022 on 20.06.2022, DRKS00011886, https://drks.de/search/de/trial/DRKS00011886 .

The analysis of transcriptomic signature of TNBC—searching for the potential RNA-based predictive biomarkers to determine the chemotherapy sensitivity

AbstractNeoadjuvant chemotherapy is the foundation treatment for triple-negative breast cancer (TNBC) and frequently results in pathological complete response (pCR). However, there are large differences in clinical response and survival after neoadjuvant chemotherapy of TNBC patients. The aim was to identify genes whose expression significantly associates with the efficacy of neoadjuvant chemotherapy in patients with TNBC. Transcriptomes of 46 formalin-fixed paraffin-embedded (FFPE) tumor samples from TNBC patients were analyzed by RNA-seq by comparing 26 TNBCs with pCR versus 20 TNBCs with pathological partial remission (pPR). Subsequently, we narrowed down the list of genes to those that strongly correlated with drug sensitivity of 63 breast cancer cell lines based on Dependency Map Consortium data re-analysis. Furthermore, the list of genes was limited to those presenting specific expression in breast tumor cells as revealed in three large published single-cell RNA-seq breast cancer datasets. Finally, we analyzed which of the selected genes were significantly associated with overall survival (OS) in TNBC TCGA dataset. A total of 105 genes were significantly differentially expressed in comparison between pPR versus pCR. As revealed by PLSR analysis in breast cancer cell lines, out of 105 deregulated genes, 42 were associated with sensitivity to docetaxel, doxorubicin, paclitaxel, and/or cyclophosphamide. We found that 24 out of 42 sensitivity-associated genes displayed intermediate or strong expression in breast malignant cells using single-cell RNAseq re-analysis. Finally, 10 out of 24 genes were significantly associated with overall survival in TNBC TCGA dataset. Our RNA-seq-based findings suggest that there might be transcriptomic signature consisted of 24 genes specifically expressed in tumor malignant cells for predicting neoadjuvant response in FFPE samples from TNBC patients prior to treatment initiation. Additionally, nine out of 24 genes were potential survival predictors in TNBC. This group of 24 genes should be further investigated for its potential to be translated into a predictive test(s).

Abstract PO4-14-11: Findings of clinically significant variants (Tier IA) with OmniSeq INSIGHT ® in a breast cancer cohort of 987 patients

Abstract Background: There were an estimated 2.3 million new breast cancer cases worldwide in 2020, with breast cancer now the most diagnosed type of cancer representing 25% of cancer cases and 17% of cancer deaths (1). The GLOBOCAN Cancer Tomorrow prediction tool estimates that incidence will increase by &amp;gt; 45% by 2040 (2). Optimal treatment for breast cancer is increasingly dependent upon knowing a patient’s somatic and germline genomic alteration status. To highlight the importance of these genomic alterations, we provide an overview of the genomic findings in 987 consecutive breast cancer patients tested in the course of routine clinical care. Methods: Comprehensive Genomic and Immune Profiling (CGIP) was performed on 987 qualified breast cancer samples at a CAP/CLIA and NYS CLEP certified reference laboratory with the OmniSeq INSIGHT ® test (3). OmniSeq INSIGHT ® is a next generation sequencing-based laboratory developed test for the detection of genomic variants, signatures, HLA Class I genotypes, and immune gene expression in formalin-fixed paraffin-embedded (FFPE) tumor tissue. DNA is sequenced to detect small variants in the full exonic coding region of 523 genes, copy number alterations in 59 genes (gains and losses), as well as analysis of microsatellite instability (MSI) and tumor mutational burden (TMB). RNA is sequenced to detect fusions and splice variants in 55 genes, in addition to mRNA expression in 64 immune genes. The resultant information, along with PD-L1 protein expression by immunohistochemistry (IHC), is intended for use by qualified health care professionals in accordance with professional guidelines in oncology for management of patients with solid neoplasms. Tier IA variants include variants with strong clinical significance as per AMP–ASCO–CAP recommendations (4). Results: There were 384 Tier IA variants detected in 370 of 987 breast cancer patients (~37.5%) with 251 in PIK3CA (65.3%), 60 in ERBB2 (15.6%), 46 in BRCA2 (11.9%), 19 in BRCA1 (4.9%), 4 in NTRK3 (1.0%), 1 in NTRK1 (0.26%) and 1 in PALB2 (0.26%) including copy number variations (CNV), gene fusion and single nucleotide variants (SNV). At the individual gene level for Tier IA variants, PIK3CA had 251 SNVs detected, ERBB2 had 55 CNVs, 1 gene fusion and 4 SNVs detected, BRCA2 had 39 SNVs and 8 CNVs detected, BRCA1 had 19 SNVs, NTRK3 had 4 gene fusions, NTRK1 had 1 gene fusion and PALB2 had 1 SNV detected. At the variant class level, there were 63 CNVs, 6 gene fusions and 315 SNVs observed. Conclusions: CGIP for breast cancer patients identified one or more clinically significant Tier IA genomic alterations that directs targeted therapy in ~ 37.5% of patients in a cohort of real world patients tested during the standard course of clinical care. This highlights the need for comprehensive genomic testing in breast cancer patients to drive therapeutic decision making.

Abstract PO5-01-14: Genomic risk analyses in patients with clinical low risk ER-positive HER2-negative early breast cancer developing an early metastatic event

Abstract Background: Over the past decade, there have been notable changes in the definition of risk estimation in patients with early-stage breast cancer (EBC). Specifically, within the timeframe of 2000 to 2017, following Estrogen Receptor (ER) positive and HER2-negative EBC cases were classified as low risk according to the University Hospitals of Leuven (UHL) criteria of that time: if ER H-score was &amp;gt;200: all patients with tumors N0 and Grade (G) 1, ≤pT2; or G2-3 pT1a-b; in patients ≥40 years with tumors N0 and G2 pT1c-2 or G3 pT1c; in patients ≥ 55 years with tumors N0 G3 pT2 or N1 any Grade, pT≤2. For lower H-scores, other criteria applied. However, despite undergoing endocrine therapy, a subset of these patients with clinically low-risk tumors unexpectedly experienced metastasis within five years of initial diagnosis. This unforeseen outcome may indicate potential undertreatment, as these patients did not receive adjuvant chemotherapy. We have conducted a case-cohort study of those patients with early relapse and performed the current clinical risk assessment methods and genomic risk analyses. Methods: In this study, we included patients with ER-pos, HER2-neg early-stage breast cancer diagnosed between 1-1-2000 and 31-12-2017, who were classified as low-risk tumors by UHL guidelines at that time, who were older than 35 but younger than 71 years, had an unilateral, unifocal breast tumor with tumor size up to 5 cm. These patients did not receive adjuvant chemotherapy. We selected the patients that experienced early distant recurrence, defined as distant recurrence (DR) within 5 years after the initial diagnosis. To ensure comparability for the analyses they were matched to controls for grade, menopausal status, tumor size, lymphovascular invasion, progesterone receptor status, and the year of diagnosis. For each patient, we have calculated the clinical risk score according to the criteria outlined by Mymammaprint.com, based on the modified Adjuvant Online tool used in the MINDACT trial. For the analysis, formalin-fixed paraffin-embedded (FFPE) breast tumor tissue samples were subjected to in-house validated targeted RNA-based Mammaprint(MP) analysis by NGS (MP Agendia). Results: Of the 3190 patients with EBC at UHL during the study period, 2476 patients were considered for this analysis and fitted the clinical low-risk criteria defined low-risk at UHL. Among those, only 42 or 1.7% of the eligible cohort had developed metastasis within 5 years. Tissue for MP analysis was available for 35 of these cases and for their matched control. Due to technical failure, the 1:1 matching was lost and MP results were known for 28 cases and 27 controls. The patient and tumor characteristics of both groups were comparable. In this UHL clinical low-risk group, 21/28 (75%) cases would be identified as clinical high-risk by MyMammaprint.com and 18/27 (67%) controls. We identified 13 patients (46.43%) with high genomic risk within the group with DR and 9 (33.33%) within the control group. There was no statistically significant difference (p=0.412) in the proportion of genomically high-risk patients within the group with DR compared to the control group. Conclusions: In a database of patients with EBC of whom 98% did not develop metastasis within 5 years, we observed in a small series of chemotherapy naïve patients with early DR and UHL-defined clinical low-risk tumors, that nearly half had a genomically high risk of distant metastasis. Albeit numerically higher than the matched-control group, this observation was not significant and would warrant a larger sample size and power to confirm these results. Table. Genomic versus Clinical Risk by MyMammaprint.com Citation Format: Josephine Van Cauwenberge, Hava Izci, Hans Wildiers, Sileny Han, Christine Desmedt, Giuseppe Floris, Sara Vander Borght, Ann Smeets, Ines Nevelsteen, Isabelle Vanden Bempt, Patrick Neven. Genomic risk analyses in patients with clinical low risk ER-positive HER2-negative early breast cancer developing an early metastatic event [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 PO5-01-14.

Abstract PO3-01-05: Enhancing HER2 Evaluation: Correlation between APIS Breast Cancer Subtyping Kit and IHC/ISH for Accurate HER2 Quantification

Abstract Background: The quantification of HER2-low in breast cancer (BC) has garnered considerable interest due to emerging evidence of the efficacy of targeted therapies in this patient subgroup. Trastuzumab deruxtecan (T-Dxd), an antibody-drug conjugate targeted at HER2, has recently gained approval in the USA and Europe for treating HER2-low BC, which is currently defined as immunohistochemical (IHC) scores of 1+ or 2+ without HER2/ERBB2 in situ hybridization (ISH) amplification. HER2 quantification using IHC/ISH was primarily designed to identify tumors overexpressing HER2, rather than differentiate between HER2-low and the absence of expression. Consequently, the adequacy of these assays in accurately detecting HER2- low remains uncertain. Improving the accuracy of HER2 evaluation is crucial to prevent the incorrect selection of patients for T-Dxd treatment. There is a clear need to develop HER2 testing methods that are more precise, reliable, and capable of detecting HER2-low expression with greater sensitivity and reproducibility. This is particularly important as the minimum threshold of HER2 expression required for T-Dxd efficacy is still under investigation, with clinical data suggesting the potential activity of T-Dxd even in patients with IHC 0 HER2 score. Here, we evaluated the correlation between HER2 mRNA expression levels, detected by APIS Breast Cancer Subtyping Kit, and IHC HER2 classification. Methods: Formalin-fixed paraffin-embedded (FFPE) tumour tissue sections (n=642) obtained by core needle biopsy or resection underwent histological analysis in accordance with laboratory’s standard of care methods. Samples with a HER2 score of 2+ were referred to ISH to determine ERBB2 amplification. To evaluate the diagnostic performance, the concordance between HER2 IHC score, and APIS Breast Cancer Subtyping Kit RNA expression level was reported in terms of Overall Percent Agreement (OPA), Negative Percent Agreement (NPA), and Positive Percent Agreement (PPA), along with their corresponding 95% confidence intervals (CI). Results: HER2 expression detected by APIS Breast Cancer Subtyping Kit showed strong correlation with IHC/ISH, with an OPA of 94.2% (95% CI: 92.2-95.8), PPA of 89.2% (95% CI: 80.1-94.4) and NPA of 94.9% (95% CI: 92.8-96.4). The expression of HER2 was detected by APIS Breast Cancer Subtyping Kit in a subset of patients with 0 and 1+ IHC HER2 scores, suggesting its potential as a more sensitive and reliable method for detection of HER2 expression, and providing the opportunity to enhance HER2 stratification. Conclusions: APIS Breast Cancer Subtyping Kit can accurately detect HER2 expression and has the potential to further stratify the HER2-low patients. Further studies examining the relationship between HER2 expression and the response to anti-HER2 therapies could yield valuable insights into treatment administration and identify patients who could benefit from such therapies. Incorporating continuous quantification of HER2 could optimize patient outcomes. Citation Format: Anna Gasior, Joanna Gorniak, Sara Rollinson, Leanne Gough, Anne-Sophie Wegscheider, Axel Niendorf. Enhancing HER2 Evaluation: Correlation between APIS Breast Cancer Subtyping Kit and IHC/ISH for Accurate HER2 Quantification [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 PO3-01-05.

Abstract PO2-24-02: Molecular characterization of primary tumors associated with various CTCs’ subpopulation

Abstract Background: Circulating tumor cells (CTCs) are prognostic in primary breast cancer (BC) patients and represent a heterogeneous population of cells with different phenotypes and biological value. However, molecular characterization of primary tumors associated with various CTCs’ subpopulation is lacking. This study aimed to identify expression of genes associated with the presence of different CTCs subpopulations in primary BC patients using a comprehensive genomics approach. Methods: This prospective ongoing study included 312 patients (pts) with non-metastatic BC enrolled from March 2012 to February 2015. CTCs were detected on day -1 to 0 before surgery. Isolated peripheral blood mononuclear cells (PBMC) were depleted of hematopoietic cells using RossetteSepTM kit negative selection with anti-CD45 antibody. RNA extracted from CD45-depleted (CD45-) PBMC was interrogated for expression of EMT-inducing transcription factors (TWIST1, SNAIL1, SLUG, ZEB1) and epithelial (CK19) gene transcripts by quantitative reverse transcription-PCR. Expressions of gene transcripts in CD45- PBMC of patients were compared to those of CD45- PBMC of 60 healthy donors. Formalin-fixed paraffin-embedded tumor tissue was subject for gene expression analysis performed by HTG EdgeSeq Oncology Biomarker panel (HTG Molecular Diagnostics, Inc., Tucson, USA). Results: CTCs with epithelial phenotype (CTC_EP) were detected in 30 (9.6%) pts, CTC with EMT (epithelial-to-mesenchymal transition) were detected in 54 (17.3%), while blood of 79 (25.3%) pts exhibit at least one type of CTC. Patients with detectable CTC in peripheral blood had inferior disease-free survival compared to patients without detectable CTC (HR = 0.62, 95% CI 0.37-1.06, P=0.048). There was no association between epithelial CTCs and analysed patients/tumour variables. Genes expression analysis identified 7 differentially expressed genes in patients with the CTC_EP phenotype (CHGA, MESP1, COL2A1, MT2A, COMP, MMP7 and ORM2), 200 genes associated with CTC_EMT phenotype (top 10 genes included CHGA, CECR6, SMAD2, HUS1, FGF10, HNF1A, SEC61G, CDK4, CD44 and F3). Analysis identified that low expression of CHGA and MMP7 was consistently associated with any CTC subpopulations. Conclusions: In this study for the first-time revealed gene expressions associated with various CTC subpopulations. We suppose that these genes could represent potential therapeutic target aimed to inhibit metastatic cascade in breast cancer. Citation Format: Michal Mego, Gabriel Minarik, Milan Hucko, Katarina Kalavska, Marian Karaba, Juraj Benca, Tatiana Sedlackova, Lucia Kucerova, Jozef Mardiak, Lubos Klucar, Zuzana Cierna. Molecular characterization of primary tumors associated with various CTCs’ subpopulation [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 PO2-24-02.

Abstract PO3-16-04: Distribution of intrinsic subtypes in endocrine-resistant and endocrine-sensitive breast cancer

Abstract Background Breast cancer (BC) is a heterogeneous disease that can be divided into intrinsic molecular subtypes. Among the four intrinsic subtypes, Luminal A and Luminal B are the most common and associated with the best outcome, whereas HER2-enriched and basal-like are less frequent. Tumors that are estrogen receptor α (ER)-positive and human epidermal growth factor receptor 2 (HER2)-negative (ER+/HER2-) are mostly found among the luminal subtypes. Despite that patients with ER+/HER2- tumors are offered adjuvant endocrine therapy, around one-third eventually develop endocrine resistance. The aim of this study was to explore the distribution of intrinsic subtypes in endocrine-resistant primary and relapse tumors, comparing these to endocrine-sensitive controls. Materials and methods Verified endocrine-resistant BC patients diagnosed in 2008-2012 were retrospectively collected at the Karolinska University Hospital, Stockholm, Sweden. Cases (N=70) were identified as patients with ER+/HER2- primary tumors and subsequent ER+/HER2- relapse tumors within 5 years and during endocrine therapy. Patients with primary ER+/HER2- tumors without progression or relapse at 10 years of follow-up were defined as controls (N=78), diagnosed in 2005-2006. Extracted RNA from formalin-fixed paraffin-embedded tumor tissue was analyzed by Affymetrix Clariom D Microarray and assessed by Transcriptome Analysis Console and R software. Results Among the controls, the distribution of Luminal A, Luminal B, and HER2-enriched subtypes was 65.4%, 34.6%, and 0%, respectively. In primary tumors, the distribution was in turn 55.4%, 43.1%, and 1.5%, and among relapse tumors 57.6%, 37.9%, and 4.5%, respectively. A total of 19 cases, accounting for 27.1%, switched intrinsic subtypes between the paired primary and relapse tumors. No tumors exhibited the basal-like subtype. Conclusion In this unique cohort, Luminal B and HER2-enriched subtypes were more common in primary and relapse tumors of verified endocrine-resistant patients than in primary tumors of endocrine-sensitive controls. Further, the HER2-enriched subtype, although sparse, was more frequently found in patients’ relapse tumors than in their corresponding primary tumors, and over one-fourth of cases switched subtypes during progression. These findings support the presence of subtype shifting in endocrine-resistant relapses and that endocrine-resistant tumors are more prone to be of Luminal B or HER2-enriched subtypes than endocrine-sensitive tumors. Citation Format: Caroline Schagerholm, Stephanie Robertson, Emelie Karlsson, Emmanouil Sifakis, Johan Hartman. Distribution of intrinsic subtypes in endocrine-resistant and endocrine-sensitive breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-16-04.

Extent of Resection Thresholds in Molecular Subgroups of Newly Diagnosed Isocitrate Dehydrogenase-Wildtype Glioblastoma.

Maximizing the extent of resection (EOR) improves outcomes in glioblastoma (GBM). However, previous GBM studies have not addressed the EOR impact in molecular subgroups beyond IDH1/IDH2 status. In the current article, we evaluate whether EOR confers a benefit in all GBM subtypes or only in particular molecular subgroups. A retrospective cohort of newly diagnosed GBM isocitrate dehydrogenase (IDH)-wildtype undergoing resection were prospectively included in a database (n = 138). EOR and residual tumor volume (RTV) were quantified with semiautomated software. Formalin-fixed paraffin-embedded tumor tissues were analyzed by targeted next-generation sequencing. The association between recurrent genomic alterations and EOR/RTV was evaluated using a recursive partitioning analysis to identify thresholds of EOR or RTV that may predict survival. The Kaplan-Meier methods and multivariable Cox proportional hazards regression methods were applied for survival analysis. Patients with EOR ≥88% experienced 44% prolonged overall survival (OS) in multivariable analysis (hazard ratio: 0.56, P = .030). Patients with alterations in the TP53 pathway and EOR <89% showed reduced OS compared to TP53 pathway altered patients with EOR>89% (10.5 vs 18.8 months; HR: 2.78, P = .013); however, EOR/RTV was not associated with OS in patients without alterations in the TP53 pathway. Meanwhile, in all patients with EOR <88%, PTEN-altered had significantly worse OS than PTEN-wildtype (9.5 vs 15.4 months; HR: 4.53, P < .001). Our results suggest that a subset of molecularly defined GBM IDH-wildtype may benefit more from aggressive resections. Re-resections to optimize EOR might be beneficial in a subset of molecularly defined GBMs. Molecular alterations should be taken into consideration for surgical treatment decisions in GBM IDH-wildtype.

High keratin 15 expression reflects favorable prognosis in early cervical cancer patients.

Keratin 15 (KRT15) exhibits inconsistent prognostic roles in different cancers, and its prognostic value in early cervical cancer patients who receive tumor resection remains unknown. This study aimed to assess the relationship of KRT15 expression with prognosis in these patients. Totally, 147 early cervical cancer patients who received tumor resection were reviewed in this retrospective study. KRT15 was detected in formalin-fixed paraffin-embedded tumor tissue by immunohistochemistry (IHC). KRT15 IHC scores were computed by multiplying the percentage of positively stained cells (scored as 0-4) and corresponding staining intensity (scored as 0-3), ranging from 0 to 12. Elevated KRT15 IHC score was linked with moderate to well differentiation (P = 0.005), tumor size ≤ 4cm (P = 0.017), and International Federation of Gynecology and Obstetrics (FIGO) stage Ia/Ib (P < 0.001). KRT15 IHC score was inversely associated with adjuvant radiotherapy (P = 0.025) and adjuvant chemotherapy (P = 0.016). KRT15 IHC score ≥ 1 was linked with increased disease-free survival (DFS) (P = 0.003) and overall survival (OS) (P = 0.049). Meanwhile, KRT15 IHC score ≥ 1 independently predicted increased DFS (hazard ratio = 0.213, P = 0.017), but not OS (P > 0.05). KRT15 IHC score ≥ 3 and KRT15 IHC score ≥ 6 could not predict DFS or OS (all P > 0.05). By subgroup analyses, KRT15 IHC score ≥ 1 forecasted favorable DFS in patients with age > 45years, human papillomavirus-positive, squamous carcinoma, and tumor size ≤ 4cm (all P < 0.05). KRT15 IHC score ≥ 1 and KRT15 IHC score ≥ 3 predicted ascended DFS in patients without adjuvant radiotherapy or adjuvant chemotherapy (all P < 0.05). High KRT15 expression reflects favorable tumor features and longer survival in early cervical cancer patients who receive tumor resection.

Microsatellite Instability Detection in Cancer: A Multiplex qPCR Approach that Obviates the Need for Matching Normal Samples.

Microsatellite instability (MSI) indicates DNA mismatch repair deficiency in certain types of cancer, such as colorectal cancer. The current gold standard technique, PCR-capillary electrophoresis (CE), requires matching normal samples and specialized instrumentation. We developed VarTrace, a rapid and low-cost quantitative PCR (qPCR) assay, to evaluate MSI using solely the tumor sample DNA, obviating the requirement for matching normal samples. One hundred and one formalin-fixed paraffin-embedded (FFPE) tumor samples were tested using VarTrace and compared with the Promega OncoMate assay utilizing PCR-CE. Tumor percentage limit of detection was evaluated on contrived samples derived from clinical high MSI (MSI-H) samples. Analytical sensitivity, specificity, limit of detection, and input requirements were assessed using synthetic commercial reference standards. VarTrace successfully analyzed all 101 clinical FFPE samples, demonstrating 100% sensitivity and 98% specificity compared to OncoMate. It detected MSI-H with 97% accuracy down to 10% tumor. Analytical studies using synthetic samples showed a limit of detection of 5% variant allele frequency and a limit of input of 0.5 ng. This study validates VarTrace as a swift, accurate, and economical assay for MSI detection in samples with low tumor percentages without the need for matching normal DNA. VarTrace's capacity for highly sensitive MSI analysis holds potential for enhancing the efficiency of clinical work flows and broadening the availability of this test.

Abstract LB373: Pilot whole-exome sequencing data of formalin-fixed paraffin embedded endometrial tumors in the Epidemiology of Endometrial Cancer Consortium (E2C2)

Abstract Background: Endometrial cancer (EC) is the most common gynecologic cancer in the U.S.: incidence and mortality are rising. Black women face 2-fold higher mortality compared with other racial groups. To understand the role of tumor biology underlying these health inequities, we are sequencing the tumor exomes of 1,000 Black and 2,000 non-Black women in the Epidemiology of Endometrial Cancer Consortium. To inform this effort, we have completed whole-exome tumor sequencing in 35 EC patients. We present early sample performance and mutational insights of this pilot. Methods: We extracted DNA from formalin-fixed paraffin-embedded (FFPE) tumor tissues (cores, scroll) and matched normal specimens (blood, tissue) from 35 women diagnosed with EC in the Louisiana Tumor Registry, Nurses’ Health Study, and Polish Endometrial Cancer Study. Whole-exome sequencing was conducted by the Center for Inherited Disease Research at Johns Hopkins University, which called somatic alterations using matched normal samples as the germline profile (NovaSeq6000). We excluded two contaminated core samples and one paired scroll with extremely low coverage, leaving 33 women in our analytic sample. We examined the mutational landscape of EC overall and separately in 7 Black and 26 non-Black patients. For 23 women, we obtained both an FFPE scroll of the full block and FFPE tumor cores enabling a direct comparative analysis of DNA extraction yield and sequencing performance by sample source. We ran a published allele-specific copy number and clonal heterogeneity analysis tool (FACETS) in these 23 women to calculate tumor purity by tissue type. Results: Results from our pilot study revealed the most frequently mutated genes in our pilot population were PTEN (61%), ARID1A (48%), and PIK3CA (39%). We observed similar mutation frequencies for PIK3CA in both non-Black and Black women (38% vs 43%). TP53 was more frequently mutated in Black women (57% vs 16%), while ARID1A mutation was more common in non-Black women (58% vs 14%). 10 (30%) patient samples had chromosome 10 copy-neutral loss of heterozygosity. Of these, 8 (80%) had PTEN bi-allelic alterations. Of participants with both core and scroll tissue available, both sample types were successfully sequenced, although cores showed modestly better performance: 74% of core samples (vs 26% for scrolls) had a higher percentage of bases read at a target depth of 100x, and the median tumor purity for cores estimated using FACETS was higher than scrolls (53% vs 42%). Tumor purity could not be calculated for seven tissue samples due to either tumor diploidy or purity being too low: of these samples the majority were scrolls (86%). We observed greater concordance between core and scroll variant allele frequency when tumor purity was ≥30%: the benefits of cores vs scrolls matter at lower tumor purity. ConclusionsIn line with TCGA data, these pilot findings suggest potential differences in tumor mutational landscape by race and we will be interrogating these in our larger study population. FFPE core tissue generally performed better than FFPE scroll tissue in whole-exome sequencing, but our data suggest scrolls remain a viable option for sequencing when cores are unavailable. This has the potential to offer valuable insight for conducting population-based next-generation studies, which mostly rely on FFPE-derived tissues. Citation Format: Noah C. Peeri, Megan A. Clarke, Immaculata De Vivo, Mengmeng Du, Lucio Miele, Jeffin Naduparambil, Kathryn L. Penney, Venkat Seshan, Ronglai Shen, Veronica W. Setiawan, Nicolas Wentzensen, Xiao-Cheng Wu, Arnold Zea, Wenyu Zhang. Pilot whole-exome sequencing data of formalin-fixed paraffin embedded endometrial tumors in the Epidemiology of Endometrial Cancer Consortium (E2C2) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB373.

Abstract LB137: Comparison of HPV virus-induced oropharyngeal cancer by self-reported race and the potential implications on treatment

Abstract African Americans exhibit lower survival rates from Human Papillomavirus (HPV)-induced squamous cell carcinomas in comparison to other population groups. While socioeconomic status and access to healthcare may contribute to these disparities, mounting evidence indicates that significant biological differences between diverse ancestries play a role in the severity of different cancers such as breast cancer, colorectal cancer, and squamous cell carcinomas. The purpose of the study is to investigate diagnostic and biological differences in HPV-induced squamous cell carcinomas of the oropharynx by self-reported race. The study population consists of oropharynx cases identified at the University of Michigan (non-Hispanic White) and through the Louisiana Tumor Registry (African American). A total of 52 individuals from two study sites were included in this study, 40 of whom are men, two are women and 10 are unknown. Forty-four percent (23/52) of individuals were African Americans (AA), and 46 % (19/52) were Non-Hispanic White (NHW). Formalin-fixed paraffin-embedded (FFPE) tumors from these patients were tested for p16 expression via immunohistochemistry as a proxy for HPV status. Fifty-two percent (27/52) tested negative (p16-) and 48% (25/52) tested positive (p16+). Total RNA from these samples was extracted, sequenced, and bioinformatically analyzed to test for the presence of HPV. Among AA samples, 61% were negative for both p16 and HPV RNA (p16-/RNA-), 26% were p16+/RNA-, 13% were p16+/RNA+ and none were p16-/RNA+. Among NHWs, 37% were p16-/RNA-, 16% were p16-/RNA+, 47% were p16+/RNA+ and none were p16+/RNA-. Interestingly, 6 of 20 HPV RNA- AA samples were p16+, whereas 0 of 7 HPV RNA- NHW samples were p16+. We performed data dimensionality reduction using Principal Component Analysis (PCA) implemented in the PCAtools Bioconductor package. Four groups were separated in a plot of the first two PCs, comprising, (i) all p16+/RNA+ (18/18), (ii) dominantly p16-/RNA- (6/7), (iii) p16-/RNA- mixed with p16+/RNA-, and (iv) p16-/RNA+ in the middle of all the groups and mixing with some p16+/RNA+ samples. A total of 13/17 (76%) p16-/RNA- samples in group (iii) that were mixed with p16+/RNA- samples were AA, 3 (18%) were NHW and 1 was unknown. Based on clinical data, the PCA group (iii) consisted of samples that were characterized as invasive, keratinizing, and moderately differentiated, whereas group (ii) samples were mostly clinically characterized as nonkeratinizing. A total of 13/14 AA samples that tested p16-/RNA- possessed similar clinical attributes as samples classified as p16+/RNA-, suggesting that the p16 expression via immunohistochemistry test might be classifying a significant percent of HPV-negative AA samples as positive. Taken together, these results suggest that the p16 immunohistochemistry test for oropharyngeal cancer may be overly sensitive for classifying AA oropharynx cancer samples. Clinical decisions regarding treatment for AA based on this test have the potential to negatively impact outcomes. Citation Format: Batsirai M. Mabvakure, Shiting Li, Deborah de la Caridad Delgado Herrera, William Benjamin, Lucia Martinez Cruz, Siddhi Patil, Elham Mohebbi, Gregory T. Wolf, Anju Duttargi, Christina Lefante, Mei-Chin Hsieh, Nisha J. D'Silva, Maureen Sartor, Laura Rozek. Comparison of HPV virus-induced oropharyngeal cancer by self-reported race and the potential implications on treatment [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB137.

Extent of Resection Thresholds in Molecular Subgroups of IDH-Wildtype Glioblastoma

INTRODUCTION: Maximizing the extent of resection (EOR) improves outcomes in glioblastoma (GBM). However, prior GBM studies have not addressed the impact of EOR in molecular subgroups of GBM beyond IDH1/IDH2 status. Therefore, it remains unclear whether EOR confers a benefit in all GBM subtypes or only in particular molecular subgroups. METHODS: Patients with newly diagnosed GBM IDH-wildtype undergoing resection were prospectively included in a database (n=138). EOR and RTV were quantified with semi-automated software. Formalin-fixed paraffin-embedded tumor tissues were analyzed by targeted next-generation sequencing. The association between recurrent genomic alterations and EOR/RTV was evaluated using a recursive partitioning analysis (RPA) to identify thresholds of EOR or RTV that may predict survival. The Kaplan-Meier methods and multivariable Cox proportional hazards regression methods were applied for survival analysis. RESULTS: Patients with EOR = 95.9% and younger than 67.5 years experienced improved survival compared to older patients with EOR &lt;95.9% (Hazard ratio [HR] 5.85, p &lt; 0.002). Patients with alterations in the TP53 pathway and EOR &lt;88.72% showed reduced OS (mOS: 10.5 vs. 18.8 months; HR: 2.78, p = 0.013). However, EOR/RTV was not associated with OS in patients without alterations in the TP53 pathway. Among patients with EOR &lt;87.69%, PTEN altered had significantly worse overall survival than PTEN wildtype (9.5 vs. 15.4 months; HR: 4.53, p &lt; 0.001). CONCLUSIONS: Our results suggest that a subset of molecularly defined GBMs IDH-wildtype may benefit more from aggressive resections. Re-resections to optimize EOR might be beneficial in a subset of molecularly defined GBMs. Molecular alterations should be taken into consideration for surgical treatment decisions in GBM IDH-wildtype.

Enhancing Specific Fluorescence In Situ Hybridization with Quantum Dots for Single-Molecule RNA Imaging in Formalin-Fixed Paraffin-Embedded Tumor Tissues.

Single-molecule fluorescence in situ hybridization (smFISH) represents a promising approach for the quantitative analysis of nucleic acid biomarkers in clinical tissue samples. However, low signal intensity and high background noise are complications that arise from diagnostic pathology when performed with smFISH-based RNA imaging in formalin-fixed paraffin-embedded (FFPE) tissue specimens. Moreover, the associated complex procedures can produce uncertain results and poor image quality. Herein, by combining the high specificity of split DNA probes with the high signal readout of ZnCdSe/ZnS quantum dot (QD) labeling, we introduce QD split-FISH, a high-brightness smFISH technology, to quantify the expression of mRNA in both cell lines and clinical FFPE tissue samples of breast cancer and lung squamous carcinoma. Owing to its high signal-to-noise ratio, QD split-FISH is a fast, inexpensive, and sensitive method for quantifying mRNA expression in FFPE tumor tissues, making it suitable for biomarker imaging and diagnostic pathology.

Abstract 3675: Design of high-performance tumor-informed minimal residual disease (MRD) panels from low FFPE tumor input

Abstract Background: Minimal residual disease (MRD) testing can detect cancer recurrence months to years earlier than the current standard of care, enabling earlier treatment of recurrence and improved patient outcomes. Tumor-informed MRD assays typically utilize formalin-fixed paraffin-embedded (FFPE) tumor tissue, which is available in limited quantities for some patients, for example, following core needle biopsy (CNB), after neoadjuvant treatment or when patients need multiple tests from the same tumor sample. To determine the lower limit of tissue input, we evaluated our MRD assay performance across a range of extracted tumor volumes. Methods: Resected tumors and CNBs were sectioned, H&amp;E stained, and macro-dissected. Tumor gDNA was extracted, quantified, prepared into libraries and sequenced. Sequenced libraries were aligned and evaluated for depth of coverage, variation of coverage, and duplication rate. Somatic calling was performed on matched tumor and normal samples. Up to 1000 target sites were selected for high-depth targeted sequencing of the tumor and normal gDNA for confirmation of somatic variant calls. The positive predictive value (PPV) was computed as the percent of putative somatic variant sites that were present in the tumor capture library and absent in the normal capture library. Results: Extracted tumor volumes varied by almost two orders of magnitude, from 0.06mm3 (equivalent to needle core or fine needle aspirate biopsies) to 5mm3 (achievable with resected tumor). gDNA amount varied linearly (3.6ng to 1549ng) with tumor tissue input, indicating the low tissue to paraffin ratio did not have an adverse effect on yield. Tumor gDNA inputs into library prep ranged from 2.5ng to 100ng. DNA amounts above 100ng into library prep had no discernable benefit. Below 10 ng, depth of coverage and the coefficient of variation in coverage indicated poor-quality libraries. Samples with ~10 ng of gDNA input into library prep showed depth of coverage comparable to higher inputs and saturated the achievable library complexity. Additionally, PPV of somatic calling was consistent across the range of gDNA inputs from 10-100 ng, demonstrating equivalent assay performance. Conclusion: Tumor-informed MRD assays have immense potential for increasingly sensitive treatment response and recurrence monitoring that can inform better treatment decisions. FFPE tumor tissue is a critical input into MRD assays but is a limited resource. This study supports a minimum DNA input of 10 nanograms for a single attempt at extraction, corresponding to a tissue volume of 0.2mm3 or a single 10µm slide with a 20mm2 area, representing one of the lowest tissue input requirements for an MRD assay. Low FFPE tissue requirements expand the patient population that benefit from MRD testing by utilizing samples that have low tumor content, are post-neoadjuvant therapy or do not meet the tumor volume requirements of competing MRD offerings. Citation Format: Matt LaBella, Ashley Acevedo, Ravi Patel, Kiefer Haug, Sangita Ganesh, Elise Buser, Nafei Xu, Shalee Carlson, Kyle Trettin, Sarah Ratzel, Kieko Hara, Pavlos Msaouel, Kanishka Sircar, Chad Tang, Dale Muzzey, Genevieve Gould. Design of high-performance tumor-informed minimal residual disease (MRD) panels from low FFPE tumor input [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 3675.

Abstract 3766: Utilizing whole-transcriptome digital spatial profiling for glioblastoma clinical biomarker discovery

Abstract Objective: IDH-wildtype glioblastoma (GBM) is the most aggressive brain tumor in adults. Notable for substantial inter- and intra-tumoral heterogeneity, GBM is highly resistant to standard-of-care treatment. Emerging spatial omics technologies, such as GeoMx Digital Spatial Profiling (DSP), offer novel approaches to interrogate the molecular features of regionally defined cellular ecosystems in cancer. Here, we leverage DSP to study whole-transcriptome gene expression signatures in a spatially defined manner across five IDH-wildtype GBMs. Methods: Formalin-fixed paraffin-embedded tumors were assessed histologically and three spatially distinct areas from each tumor were used to construct a custom “spatial” tissue microarray. From each set of three areas, we identified nine spatially distinct regions of interest (ROIs) for bulk transcriptomic analysis according to two histopathological features: distribution (cellular tumor core or tumor periphery) and vascular proximity (near or far). We evaluated normalized target expression data statistically using linear mixed modeling (LMM) with Benjamini-Hochberg correction. Results: 44 profiled ROIs and 8531 transcriptomic targets were analyzed following quality control trimming. 3D principal component analysis and unsupervised hierarchical clustering analysis showed clustering according to tumor specimen as well as distribution (core versus periphery), thereby substantiating the presence of inter- and intra-tumoral transcriptional heterogeneity. LMM-based differential gene expression analysis identified distinct molecular signatures when comparing core and periphery. Specifically, we observed elevated log2-transformed expression of migration and proliferation markers including LAMC1 (p=0.00297) and FABP7 (p=0.00434) in core ROIs and neurodevelopmental markers including NTRK2 (p=0.00734) and DAAM2 (p=0.00263) in periphery ROIs. Additionally, reactome analysis demonstrated considerable enrichment for the aberrant programmed cell death pathway (R-HSA-9645723, coverage=71.84%) in core ROIs and the MHC class II antigen presentation pathway (R-HSA-2132295, coverage=69.11%) in periphery ROIs. Interestingly, differential gene expression analysis did not reveal any biologically significant targets when subsetting for vascular proximity within cellular tumor core ROIs. However, reactome analysis of this regional subset demonstrated upregulation of various cellular proliferation pathways (G2/M transition, APC/C activity, DNA synthesis, etc.) within vessel-near ROIs when compared with vessel-far ROIs. Conclusions: We preliminarily characterize the molecular heterogeneity of GBM using a spatially guided approach. Ongoing analyses are focused on dataset validation, mixed cell deconvolution, further regional genotyping, and potential biomarkers. Citation Format: Adam Luo, Kelly Casella, Shivang Sharma, Ezra Baraban, Calixto-Hope Lucas, Eugene Shenderov. Utilizing whole-transcriptome digital spatial profiling for glioblastoma clinical biomarker discovery [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 3766.

Abstract 1553: S1PR1 directs tumorsphere proliferation in ovarian cancer

Abstract Despite the clinical efforts to improve detection and treatment of high-grade serous ovarian cancer (HGSOC), half of diagnosed women will die every year because of this disease. Notably, nearly all of them present with ascites at diagnosis, which is directly associated with poor prognosis. Malignant ascites production occurs when ovarian cancer cells shed from the primary tumor, creating a selective pressure environment that threatens their survival. Therefore, cancer cells cluster into tumorspheres, the main metastatic units in HGSOC. In recent years, valuable insights into the mutational and immunological landscapes of HGSOC have been gained. However, there is scarce evidence on the precise molecular mechanisms that enable tumorspheres to surpass the ascites bottleneck and metastasize. In this work, our group addresses this knowledge gap by deciphering the role of S1PR1 in ovarian tumorsphere biology. In this study, ascites samples and Formalin-Fixed Paraffin-Embedded (FFPE) tumors and peritoneal metastases from a cohort of 32 treatment-naïve HGSOC patients have been used. Furthermore, 3D spheroid models from four different ovarian cancer cell lines have also been developed for in vitro and in vivo assays. Our results indicate that up to 60% of cells within HGSOC tumorspheres are proliferating due to an increased expression of pro-proliferative receptors. Thus, cancer cells within tumorspheres that overexpress these receptors might benefit from autocrine and paracrine signaling through release of their ligands. In this work, we have identified S1P-S1PR1 as one of these ligand-receptor axes, which promotes an autocrine positive loop that increases the intermediates of sphingolipid metabolism in ovarian cancer spheroids. Here, we demonstrate that S1PR1 is highly expressed in ascites tumorspheres and, in consequence, overexpressed in metastases in comparison with primary tumors. Furthermore, we also report that proliferation levels of ovarian cancer spheroids positively correlate with S1PR1 endogenous expression. Consistently, these levels are significantly reduced when S1PR1 is knocked out or pharmacologically inhibited. In addition, our results indicate that MEK1/2-ERK is the key downstream pro-mitogenic pathway of S1PR1 in HGSOC tumorspheres, and that its pharmacological inhibition is effective in reducing growth and number of disseminations in vivo. Conclusively, our group is the first one in reporting that the axis S1P-S1PR1-MEK1/2 is the main proliferative mechanism in HGSOC tumorspheres, providing them with a selective advantage and, consequently, a greater metastatic potential. The preclinical findings presented here may represent an opportunity to further explore targeted therapeutic strategies to hamper disease progression in ovarian cancer patients with the poorest outcome. Citation Format: Núria Gendrau-Sanclemente, Agnès Figueras, Kristina Gracova, Elisenda Alsina-Sanchís, Juan Antonio Marín-Jiménez, Josefina Casas, August Vidal, Xavier Matias-Guiu, Sergi Fernandez-Gonzalez, Marc Barahona, Lola Martí, Jordi Ponce, Francesc Viñals. S1PR1 directs tumorsphere proliferation in ovarian 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 1553.

Abstract 1649: Large scale multi-omics concordance study of cyclin E1 identifies high expressing tumors lacking CCNE1 gene alterations across multiple tumor indications

Abstract Cyclin E1 is a key regulator of the G1/S transition and is thought to cause excessive entry into the cell cycle. CCNE1 is amplified in a range of tumor indications, and its amplification is associated with poorer prognosis and resistance to chemotherapy. Cyclin E1 is also being investigated as a potential biomarker for inhibitors targeting the replication stress response. Understanding the best way to quantify cyclin E1 overexpression is fundamental to support patient selection approaches for these inhibitors. In many cases, gene amplification correlates with increased cyclin E1 protein expression; however, there are a proportion of high-grade serous ovarian cancer and basal-like breast cancer cases where cyclin E1 protein overexpression does not correlate with gene amplification. In this study, we investigate if this phenomenon is observed in other cancers and some of the potential mechanisms causing cyclin E1 overexpression. We used a multi-omics approach to assess cyclin E1 expression in 1417 formalin-fixed paraffin-embedded (FFPE) patient tumor resections across 6 indications (SCCHN, Bladder, NSCLC, TNBC, Ovarian &amp; SCLC). We used copy number variation (CNV) determined by next generation sequencing (NGS), NanoString nCounter RNA analysis and protein expression by immunohistochemistry (IHC). 830 were evaluable for all 3 methods and demonstrated CCNE1 gene amplification by NGS (CNV normalized log2 ratio ≥1.5) in 3.3% cases. Using a threshold of mRNA z-score &amp;gt;2, 17% cases had high CCNE1 mRNA and 29% had high cyclin E1 protein (H-score ≥100). 15.7% (130/830) cases had high protein expression without gene amplification or gain, crucially this was found across all 6 indications (n=20/102 SCCHN, n=29/166 Bladder, n=34/232 NSCLC, n=15/76 SCLC, n=15/143 TNBC &amp; n=17/118 Ovarian). Impaired protein degradation has been proposed as a mechanism that may result in high Cyclin E1 expression. From a panel of 1600 genes, we assessed the relationship between cyclin E1 and mRNA expression of 57 genes involved in the ubiquitin-proteasome pathway in 1239 samples across the 6 indications. We assessed mutations which could impair ubiquitination in 915 samples across the 6 indications. We also assessed the methylation status of 893 genes associated with ubiquitin ligases or deubiquitinases in a cohort of 170 TNBC samples. Further investigation into other mechanisms causing cyclin E1 overexpression is required. IHC provides an ideal platform to build our understanding of cyclin E1 expression spatially. Our results indicate that assessing Cyclin E1 protein overexpression instead of CCNE1 gene amplification could greatly broaden the population of patients who could benefit from replication stress response kinase inhibitors, as cyclin E1 overexpression correlates with genomic instability and replication stress. Citation Format: Sophie E. Willis, Gemma N. Jones, Shaan Gill, Emma V. Jones, Amelia Raymond, Barrett Nuttall, Sophie Kirschner, Sakshi Gulati, Paola Marco-Casanova, Benedetta Lombardi, David Jenkins, Felicia S. Ng, James Hadfield, Paul Waring, Helen K. Angell, Heike Laman. Large scale multi-omics concordance study of cyclin E1 identifies high expressing tumors lacking CCNE1 gene alterations across multiple tumor indications [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 1649.

Abstract 6355: Urokinase plasminogen activator receptor-associated protein (uPARAP) is overexpressed in human glioblastomas and is a therapeutic target for antibody-drug conjugates (ADC)

Abstract Background: Glioblastoma Multiforme (GBM), primarily arising in the brain's frontal and temporal lobes, is a devastating malignancy originating from astrocytes. Despite treatment advancements, the prognosis remains bleak, with a median survival of 15-18 months and a 10% five-year survival rate.Our study explored a novel targeted approach to combat this challenge. uPARAP is an endocytic receptor expressed at low levels on selected mesenchymal cell types but highly overexpressed on the majority of Soft-Tissue- and Bone Sarcomas. It internalizes fragments of collagen and transfers them to the lysosome for degradation. Methods &amp; Results: First, we analyzed formalin-fixed paraffin-embedded (FFPE) tumors from GBM patients through immunohistochemistry (IHC) staining. Interestingly, a majority of the samples showed strong but varying uPARAP expression. In parallel, we detected and quantified uPARAP receptor expression in GBM cell lines by flow cytometry, underscoring its potential as a therapeutic target.Next, we generated an antibody-drug conjugate (ADC) linked to monomethyl auristatin E (MMAE), a potent antimitotic agent. Confocal microscopy showed rapid internalization of the ADC in several GBM cell lines in vitro. Cellular cytotoxicity was demonstrated in Incucyte and Alamar Blue in vitro assays. Finally, anti-tumor activity of the uPARAP-ADC was studied in a GBM patient-derived xenograft (PDX) model in vivo, where it resulted in significant tumor regression with a tumor growth inhibition (TGI) of 92 and 97% at 3 and 6 mg/kg, respectively. Conclusions: Our findings show that uPARAP is overexpressed on GBM tumors and that a uPARAP-targeted ADC has anti-tumor activity in a PDX model of GBM. This research provides initial evidence that uPARAP-ADCs could become a novel treatment option for this highly aggressive disease. Citation Format: Ida Gregersen, Cecillie R. Løkke, Jette B. Lange, Pernille Barkholt, Christophé Côme, Tina Broberg, Marianne M. Petersen, Carmel M. Lynch, Dominik Mumberg, Niels Behrendt, Lars H. Engelholm. Urokinase plasminogen activator receptor-associated protein (uPARAP) is overexpressed in human glioblastomas and is a therapeutic target for antibody-drug conjugates (ADC) [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 6355.

Abstract 5183: Retrospective analysis of CCNG1 expression in tumors, a novel biomarker in development for partnering with DRG-101, a tumor targeted retrovector encoding a CCNG1 inhibitor gene

Abstract Background: CCNG1, a non-canonical cyclin, is a novel biomarker in development for partnering with DRG-101 (DeltaRex-G), a tumor targeted retrovector encoding a CCNG1 inhibitor gene. Expanded access using DRG-101 is currently open for an intermediate-size population of advanced pancreatic cancer, sarcoma and carcinoma of breast (NCT04091295). Therefore, it is important to identify patients who might respond favorably to DRG-101 gene therapy. Previously, we reported that CCNG1 expression is enhanced in sarcoma tumors (Ann Oncol 34, 1980P, 2023). In this report, we have expanded the analysis to 137 patients with all cancer types and describe patients with known CCNG1 expression levels who have been treated with DRG-101. Methods: Archived formalin-fixed paraffin-embedded (FFPE) tumor specimens (n=137) from patients who were followed at the Sarcoma Oncology Research Center were collected, processed, and subjected to RNA sequencing. Briefly, RNA-seq libraries were sequenced to generate 50 million reads, aligned using Kallisto v0.42.4 to GENCODE v23 transcripts with default parameters. Only protein-coding, IGH/K/L- and TCR-related transcripts were retained for downstream processing, resulting in 20,062 protein-coding genes. Gene expression levels in patients of the reference cohorts are categorized as low/medium/high, defined by Low = &amp;lt; 17%; Medium-high = 50%-83%; Medium-low = 17%-49%; High = &amp;gt;83%. Results: Seventy women and sixty-seven men, ranging in age from 16 to 87 years, were studied. All tumors showed enhanced CCNG1 expression. Thirty (22%) tumors exhibited high CCNG1 expression, 53 (39%) showed medium-high CCNG1 expression, 48 (35%) displayed medium-low CCNG1 expression, and six (4%) had low CCNG1 expression. One hundred (73%) patients had metastatic disease, and 37 (27%) had localized disease. There was no correlation between CCNG1 expression and disease stage. As a result of these findings, the FDA-CBER authorized the use of DRG-101 in an Expanded Access program as platform therapy upon which one or more FDA approved cancer drugs/immunotherapies may be added. Historically, one patient with metastatic pancreatic cancer, one with early stage, HR+ HER2+ invasive breast cancer and one with early stage triple negative breast cancer are alive 15, 3 and 2.5 years in sustained remission with DRG-101 therapy, and had 24%, 23% and 74% CCNG1 tumor expression levels respectively. Five patients with advanced pancreatic cancer, sarcoma and breast cancer and known CCNG1 expression levels are currently being treated with DRG-101. Conclusions:(1) 100% of tumors tested showed enhanced CCNG1 expression at varying levels, and (2) the use of DRG-101 in combination with FDA approved cancer drugs/immunotherapies is on-going for an intermediate size population of advanced pancreatic cancer, sarcoma and carcinoma of breast. Citation Format: Nadezhda Omelchenko, Vaishali Kumar, Samantha Jeffrey, Grace Haroun, Don Brigham, William H. Isacoff, Sant Chawla. Retrospective analysis of CCNG1 expression in tumors, a novel biomarker in development for partnering with DRG-101, a tumor targeted retrovector encoding a CCNG1 inhibitor gene [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 5183.