Molecular Characteristics Of Tumor Research Articles

Abstract C053: Pancreatic cancer patient-derived organoids, preclinical tools for therapeutic profiling, patient response prediction, and tumor evolution

Abstract Pancreatic cancer (PC) is characterized by an aggressive biology and an exceptionally high tumor heterogeneity that causes considerable variations in response to chemotherapies, targeted agents, and immunotherapies. Patient-derived organoids (PDOs) accurately reflect parental tumor biological and molecular features and may represent powerful preclinical avatars to predict drug response and support clinical decision-making. We generated a living organoid biobank of >100 PC PDO lines from treatment-naïve and pretreated primary tumor and metastases with a reliable efficacy (60.8%), and previously developed a pharmacotyping-guided prediction model to prognosticate patient therapy response in an initial feasibility trial (Beutel AK et al, 2021). Real-life chemotherapy responses in 46 patients (for a total of 93 therapy lines) matched to pharmacotyping-informed predictions with overall 73.1% accuracy, 85.4% sensitivity (responsiveness), and 63.5% specificity (non-responsiveness). Overall, our model allowed a successful drug-response prediction in naïve patients with an accuracy of 73.0% and 70.0% for first and second-line regimens. Prediction power was nevertheless lower in pretreated and heavily pretreated patients with a precision of 68.2% and 50.0% for subsequent chemotherapy lines, respectively. Interestingly, PDO-based pharmacotyping also precisely predicted patient clinical outcome in the neoadjuvant and adjuvant settings, with respective accuracies of 83.3% and 71.4%. Retrospective analysis of patient clinical data in palliative setting finally showed that the administration of a regimen predicted to be efficient ultimately translated into a significantly longer progression-free survival. Implementing automation and drug screening miniaturization to our workflow also significantly enhanced our process capacity, reduced time before pharmacotyping, and improved compliance to internal quality controls. Tracking clonal evolution in longitudinal biopsies (a set of seven PDO pairs derived from the same patients at two distinct timepoints) revealed lower mutational burden and therapy-driven genetic alterations upon progression. Notably, this approach revealed a CHEK2-mutated patient responded over time to PARP inhibitor maintenance therapy, aligning with our predictions and underscoring the robustness of our method. Single nucleus-resolved RNA and ATAC-seq analysis of a unique longitudinally-collected case uncovered transcriptomic and epigenetic dynamics associated with an oncogenic FGFR2 fusion and with a subsequent resistance-mediating mutation upon targeted treatment with FGFR2 inhibitors. Particularly, FGFR2 constitutive activation correlated with aberrant epigenetic trace and transcription programs of downstream targets as PI3K-AKT and RAS family members and of RNA polymerase II transcription machinery. Here, we report a robust and clinically-relevant preclinical tool for drug-response prediction, one more step towards a PDO therapeutic profiling-guided personalized medicine in clinical routine. Citation Format: Johann Gout, Yazid J Resheq, Jessica Lindenmayer, Julian D Schwab, Elodie Roger, Johann M Kraus, Thomas Ettrich, Alica K Beutel, Lukas Perkhofer, Hans A Kestler, Thomas Seufferlein, Alexander Kleger. Pancreatic cancer patient-derived organoids, preclinical tools for therapeutic profiling, patient response prediction, and tumor evolution [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research; 2024 Sep 15-18; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl_2):Abstract nr C053.

Abstract C057: Tumor molecular features associated with estimated genetic ancestry of patients with pancreatic ductal adenocarcinoma

Abstract Pancreatic cancer is the third leading cause of cancer-related death in the US, and the incidence rates of this disease have continued to rise over the past decade. Epidemiological analyses have revealed that different racial groups are affected by this cancer disproportionately, with the Black or African American population being the most affected. Currently, it is unclear to what extent biological pathways contribute to race-associated disparities in pancreatic cancer development. Research efforts to address this topic require analyses of patient-derived clinical data and face many challenges, such as low enrollment rates of minority patients and incomplete records of self-reported race informationIn this project, we utilized DNA and RNA sequencing data generated by the Know Your Tumor Program from the Pancreatic Cancer Action Network (PanCAN) to: 1) classify each patient into their most similar genetically assessed population (GAP) based on continent-level ancestry using targeted region sequencing of tumor genomes and 2) identify gene expression differences between GAPs. Our sample size consisted of 409 individuals with confirmed pancreatic cancer and targeted tumor DNA sequencing, 226 of whom also had tumor RNA-Seq data. Reference GAPs were defined as the five 1000 Genome Project (1KG) super-populations, and each PanCAN subject was assigned to one of these reference GAPs based on their top three genome-wide principal components and k-nearest neighbors clustering, where k=5 1KG reference subjects. Gene expression differences between pairs of GAPs was performed using a negative binomial model implemented in DESeq2, and differential expression of splice variants was performed using suppa2. Both gene expression analyses accounted for pathologic stage of disease and adjusted for multiple comparisons using the false discovery rate (FDR). For the 409 PanCAN participants, the GAP assignments to the five 1KG super-populations were as follows: Africans/African Americans (AFR, n=19), Admixed Hispanic/Latino Americans (AMR, n=22), East Asians (EAS, n=17), South Asians (SAS, n=7), and Europeans/European Americans (EUR, n=344). Among the 184 participants (45%) that provided self-reported race information, GAP assignment was in high agreement (99%)with their self-reported race. Due to sample size, gene expression analyses were restricted to the AFR, EAS, and EUR GAPs. At an FDR<0.05, 605, 128, and 695 differentially expressed genes were identified for the AFR/EUR, EAS/EUR, and AFR/EAS pairwise comparisons, respectively. In particular, differentially expressed genes between AFR and EUR GAPs were significantly enriched for multiple immune related pathways that regulate B cell functions. For this GAP comparison, RNA splicing patterns of multiple genes, such as CDK4, were also differentially expressed. The RNA transcript variants differentially expressed between these groups can be candidates for future studies to understand their roles in driving biological changes that contribute to racial disparities in pancreatic cancer. Citation Format: Mohammed H M Bharmal, Ian Loveless, Howard Crawford, Nina Steele, Albert Levin, Ling Huang. Tumor molecular features associated with estimated genetic ancestry of patients with pancreatic ductal adenocarcinoma [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research; 2024 Sep 15-18; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl_2):Abstract nr C057.

Molecular, Socioeconomic, and Clinical Factors Affecting Racial and Ethnic Disparities in Colorectal Cancer Survival

Disparity in overall survival (OS) and differences in the frequency of driver gene variants by race and ethnicity have been separately observed in patients with colorectal cancer; however, how these differences contribute to survival disparity is unknown. To quantify the association of molecular, socioeconomic, and clinical covariates with racial and ethnic disparities in overall survival among patients with colorectal cancer. This single-center cohort study was conducted at a tertiary-level cancer center using relevant data on all patients diagnosed with colorectal cancer from January 1, 1973, to March 1, 2023. The relative contribution of variables to the disparity was determined using mediation analysis with sequential multivariate Cox regression models. OS, from diagnosis date and from start of first-line chemotherapy. The study population of 47 178 patients (median [IQR] age, 57.0 [49-66] years; 20 465 [43.4%] females and 26 713 [56.6%] males; 3.0% Asian, 8.7% Black, 8.8% Hispanic, and 79.4% White individuals) had a median (IQR) follow-up from initial diagnosis of 124 (174) months and OS of 55 (145) months. Compared with White patients, Black patients had worse OS (hazard ratio [HR], 1.16; 95% CI, 1.09-1.24; P <.001), whereas Asian and Hispanic patients had better OS (HR, 0.66; 95% CI, 0.59-0.74; P <.001; and 0.86; 95% CI, 0.81-0.92; P <.001, respectively). When restricted to patients with metastatic disease, the greatest disparity was between Black patients compared with White patients (HR, 1.2; 95% CI, 1.06-1.37; P <.001). Evaluating changes in OS disparity over 20 years showed disparity decreasing among Asian, Hispanic, and White patients, but increasing between Black patients and White patients (HRs, 1.18; 95% CI, 1.07-1.31 for 2008-2012; 1.24, 95% CI, 1.08-1.42 for 2013-2017; and 1.50; 95% CI, 1.20-1.87 for 2018-2023). Survival outcomes for first-line chemotherapy were worse for Black patients compared with White patients (median OS, 18 vs 26 months; HR, 1.30; 95% CI, 1.01-1.70). Among 7628 patients who had clinical molecular testing, APC, KRAS, and PIK3CA showed higher variant frequency in Black patients (false discovery rate [FDR], 0.01; < 0.001; and 0.01, respectively), whereas BRAF and KIT were higher among White patients (FDR, 0.001 and 0.01). Mediation analysis identified neighborhood socioeconomic status as the greatest contributor to OS disparity (29%), followed by molecular characteristics (microsatellite instability status, KRAS variation and BRAF variation, 10%), and tumor sidedness (9%). This single-center cohort study identified substantial OS disparity and differing frequencies of driver gene variations by race and ethnicity. Socioeconomic status had the largest contribution but accounted for less than one-third of the disparity, with substantial contribution from tumor molecular features. Further study of the associations of genetic ancestry and the molecular pathogenesis of colorectal cancer with chemotherapy response is needed.

Radiotracer Innovations in Breast Cancer Imaging: A Review of Recent Progress.

This review focuses on the pivotal role of radiotracers in breast cancer imaging, emphasizing their importance in accurate detection, staging, and treatment monitoring. Radiotracers, labeled with radioactive isotopes, are integral to various nuclear imaging techniques, including positron emission tomography (PET) and positron emission mammography (PEM). The most widely used radiotracer in breast cancer imaging is 18F-fluorodeoxyglucose (18F-FDG), which highlights areas of increased glucose metabolism, a hallmark of many cancer cells. This allows for the identification of primary tumors and metastatic sites and the assessment of tumor response to therapy. In addition to 18F-FDG, this review will explore newer radiotracers targeting specific receptors, such as estrogen receptors or HER2, which offer more personalized imaging options. These tracers provide valuable insights into the molecular characteristics of tumors, aiding in tailored treatment strategies. By integrating radiotracers into breast cancer management, clinicians can enhance early disease detection, monitor therapeutic efficacy, and guide interventions, ultimately improving patient outcomes. Ongoing research aimed at developing more specific and sensitive tracers will also be highlighted, underscoring their potential to advance precision medicine in breast cancer care.

Inter-Ethnic Variations in the Clinical, Pathological, and Molecular Characteristics of Wilms Tumor.

Wilms tumor is the commonest primary renal malignancy in children and demonstrates substantial inter-ethnic variation in clinical, pathological, and molecular characteristics. Wilms tumor occurs at a lower incidence and at a younger age in Asians compared to Caucasians and Africans. Asians also present at an earlier stage of disease, with a higher incidence of favorable histology tumors and a lower incidence of perilobar nephrogenic rests compared to Caucasians, while African children present with more advanced disease. Studies have implicated population differences in the incidence of WT1 mutations, loss of imprinting of the IGF2 locus, and loss of heterozygosity of 1p/16q, or 1q gain as possible bases for epidemiological differences in the disease profile of Wilms tumors in various ethnic groups. Yet, evidence to support these associations is confounded by differences in treatment protocols and inequalities in the availability of treatment resources and remains limited by the quality of population-based data, especially in resource-limited settings.

TFE3-rearranged perivascular epithelioid cell tumors: a clinicopathological analysis of eight cases

Objective: To investigate the clinicopathological, immunohistochemical and molecular genetic characteristics of TFE3-rearranged perivascular epithelioid cell tumor (PEComa). Methods: Eight cases of PEComa with TFE3 rearrangement diagnosed in the First Affiliated Hospital of Air Force Medical University from January 2014 to July 2022 were collected. Three were consultation cases and 5 were collected from our hospital; 7 cases were resection specimens and 1 case was a needle biopsy specimen. Routine histolopathological analysis, immunohistochemical staining, fluorescence in situ hybridization (FISH) and the next-generation sequencing were performed. Clinical data were collected and the prognosis was assessed. Results: The 8 patients consisted of 5 females and 3 males with a median age of 45 years (ranged from 25 to 65 years). The tumor location included 1 uterus, 1 liver, 1 urachus, 2 kidneys, 1 abdominal cavity, 1 colon, and 1 retroperitoneum (3 subsequent recurrences in the abdominal cavity, pelvis and ovary, and abdominal cavity, respectively). Morphologically, the tumor cells were uniform and epithelioid with translucent or eosinophilic cytoplasm. They were arranged in nests or sheets, most of which were separated by thin-walled blood vessels. There were no papillary structures, and no overt smooth muscle or fat components. Atypical features were seen in 3 cases, with bizarre nuclei and tumor giant cells. Large areas of necrosis were visible, and mitosis was common (up to 28/50 HPF). Melanin deposition was present in 3 cases. Immunohistochemical staining showed diffuse and strong positivity for TFE3 in 8/8 cases and for HMB45 in 6/8 cases; focal positivity for Cathepsin K and Melan-A in 6/8 cases and for SMA in 2/8 of cases. All cases were negative for CKpan, PAX8 and Desmin. TFE3 gene break-apart was detected by FISH in all 8 cases, 4 of which underwent next-generation sequencing, and it revealed that 2 cases presented with SFPQ::TFE3 fusion, 1 case with ASPSCR1::TFE3 fusion, and 1 case with no chimeric fusion. Seven cases were followed up for 4-94 months. All cases were alive; 4 cases were disease-free, 2 cases showed recurrence, and 1 case had metastasis at initial diagnosis. Conclusions: TFE3-rearranged PEComa has unique histomorphological, immunohistochemical and molecular characteristics. The biological behavior is aggressive, which could lead to recurrence and metastasis, and warrants close clinical follow-up.

BRCA1/2 Mutations and Breast/Ovarian Cancer Risk: A New Insights Review.

Breast and ovarian cancers are significant global health concerns, and understanding their genetic underpinnings is essential for effective prevention and cure. This narrative review provides a comprehensive analysis of studies conducted between 1994 and June 2024, focusing on the link between specific mutations in the breast cancer susceptibility gene 1 (BRCA1) and breast cancer susceptibility gene 2 (BRCA2) and the associated risks of both breast and ovarian cancers. It encompasses the findings of various works, including observational studies and molecular profiling analyses. Conducted on large international cohorts, these studies present compelling evidence of the relationship between different BRCA1 and BRCA2 mutations and the varying risks of breast and ovarian cancer. Furthermore, this review highlights the significance of nonsense-mediated decay mutations and their impact on cancer risk, particularly concerning the age of breast cancer onset. The implications of these findings are far-reaching, offering valuable information for risk assessment and decision-making in managing individuals who carry BRCA1 or BRCA2 mutations. The molecular subtyping profile BluePrint is discussed as a potential tool for enhancing clinical care by aiding the selection of appropriate treatment options, such as endocrine therapy or chemotherapy, based on the tumor's molecular characteristics. In conclusion, we establish a robust link between specific BRCA1 and BRCA2 gene mutations and increased susceptibility to breast and ovarian cancers. These mutations impact cancer onset age and severity, underscoring the need for targeted testing and screening. The current study enhances cancer detection, prevention, and cure strategies.

Innovations in the classification of soft tissue tumors

Soft tissue tumors are avery heterogeneous group of tumors. Their classification is regularly updated by the World Health Organization (WHO), most recently in 2020. The current classification of soft tissue tumors emphasizes molecular biological tumor characteristics, which enable tumor-specific treatment. In addition to Ewing's sarcoma, which occurs as bone as well as extra-skeletal soft tissue tumors as asmall round cell sarcoma, three other subtypes of undifferentiated, small and round cell sarcomas have been introduced. Some names of the new sarcomas can be derived from the gene mutations. The groups of adipocytic and (myo)fibroblastic tumors have been extended by three further entities. There were further additions to vascular soft tissue tumors, smooth muscle cell tumors, peripheral nerve sheath tumors and tumors of uncertain differentiation. Adistinction is made between benign, intermediate locally aggressive, intermediate rarely metastatic and malignant soft tissue tumors.

Role of molecular biology in the management of pancreatic cancer.

Pancreatic ductal adenocarcinoma (PDAC) presents significant challenges in patient management due to a dismal prognosis, increasing incidence, and limited treatment options. In this regard, precision medicine, which personalizes treatments based on tumour molecular characteristics, has gained great interest. However, its widespread implementation is not fully endorsed in current recommendations. This review explores key molecular alterations in PDAC, while emphasizing differences between KRAS-mutated and KRAS-wild-type tumours. It assesses the practical application of precision medicine in clinical settings and outlines potential future directions with respect to PDAC. Actionable molecular targets are examined with the aim of enhancing our understanding of PDAC molecular biology. Insights from this analysis may contribute to a more refined and personalized approach to pancreatic cancer treatment, ultimately improving patient outcomes.

Intratumoral microbiome of adenoid cystic carcinomas and comparison with other head and neck cancers

Adenoid cystic carcinoma (ACC) is a rare, usually slow-growing yet aggressive head and neck malignancy. Despite its clinical significance, our understanding of the cellular evolution and microenvironment in ACC remains limited. We investigated the intratumoral microbiomes of 50 ACC tumor tissues and 33 adjacent normal tissues using 16S rRNA gene sequencing. This allowed us to characterize the bacterial communities within the ACC and explore potential associations between the bacterial community structure, patient clinical characteristics, and tumor molecular features obtained through RNA sequencing. The bacterial composition in the ACC was significantly different from that in adjacent normal salivary tissue, and the ACC exhibited diverse levels of species richness. We identified two main microbial subtypes within the ACC: oral-like and gut-like. Oral-like microbiomes, characterized by increased diversity and abundance of Neisseria, Leptotrichia, Actinomyces, Streptococcus, Rothia, and Veillonella (commonly found in healthy oral cavities), were associated with a less aggressive ACC-II molecular subtype and improved patient outcomes. Notably, we identified the same oral genera in oral cancer and head and neck squamous cell carcinomas. In both cancers, they were part of shared oral communities associated with a more diverse microbiome, less aggressive tumor phenotype, and better survival that reveal the genera as potential pancancer biomarkers for favorable microbiomes in ACC and other head and neck cancers. Conversely, gut-like intratumoral microbiomes, which feature low diversity and colonization by gut mucus layer-degrading species, such as Bacteroides, Akkermansia, Blautia, Bifidobacterium, and Enterococcus, were associated with poorer outcomes. Elevated levels of Bacteroides thetaiotaomicron were independently associated with significantly worse survival and positively correlated with tumor cell biosynthesis of glycan-based cell membrane components.

Glioblastoma phenotypic and genetic heterogeneity, comparison of MRI and PET/CT parameters with tumor molecular genetic characteristics

Glioblastoma (GB) is an extremely heterogeneous tumor, which is caused by genomic instability, high growth rate, and neovascularization. Molecular and genetic characteristics of GB play a major role in the prognosis of the disease, which is reflected in the new WHO classification of CNS tumors from 2021. Purpose of this research is comparison MRI parameters (ADC CBF), metabolic activity on 11C-MET PET/СT with glioblastoma genetic profile. 40 patients (age 55±12 years, sex M/F = 31/9) with newly diagnosed GB were examined by MRI with assessment of diffusion parameters (ADCmin) and ASL perfusion (CBFmax) and 11С-МЕТ PET/CT with the calculation of tumor to normal index (METmax). Since these VOI (1cm3) did not always coincide, it was decided to measure all parameters in each VOI on all image maps (PMOD automatic contour transfer). A total of 9 measurements were obtained for each patient: METmax, METcbf, METadc; ADCmin, ADCmet, ADCcbf; CBFmax, CBFmet, CBFadc. Comparative and correlation analysis was carried out both in the total GB group and separately in the groups MGMT+/and EGFR+/and different Ki67 levels (cut-off 20%). In results 45% of patients had CBFmax, ADCmin and METmax mismatch. Significant correlations were found in the METmax VOI between METmaxADCmet (Rs = -0.37) and METcbfADCcbf (Rs = -0.05). CBFmax and CBFmet correlated with Ki67 (Rs = 0.38 and Rs = 0.48, respectively) and increased in Ki67 20% GB group. GB genetic subgroup analysis showed: MGMT+ had significantly higher ADCmin1.01 (10-3 mm2/sec), Se = 78%, Sp = 74%, AUC = 0.77, it means that cells were more tightly packed. In METmax VOI, METmax was negatively correlated with ADCmet (Rs = -0.72) and CBFmet was positively correlated with Ki-67 (Rs = 0.89); EGFR+ tumors had significantly higher METmax 3.29 (Se = 88%, Sp = 70%, AUC = 0.82), that was negatively correlated with ADCmet (Rs = -0.85). In case when Ki67 20% GB demonstrated significantly higher CBFmax 108.177ml/100/min (Se = 70%, Sp = 94%, AUC 0.75) and a strong negative correlation between METmax and ADCmet, (Rs = -0,65) in METmax VOI. Our study shown that CBFmax, ADCmin and METmax localization coincide in 45% of cases, which proves the presence of variety in the structure and functional activity of different areas of GB. The correlation of MGMT methylation and ADC (ADCmin 1.01 (10-3 mm2/sec), Se = 78%, Sp = 74%, AUC = 0.77) confirms the recent studies results of this tumor subtype lower needs of the new membranes construction, that’s due to the inhibition of the mechanism of the DNA repair system. EGFR amplification presence in our patient sample was associated with a significant higher MET metabolism (МЕTmax 3.29, Se = 88%, Sp = 70%, AUC = 0.82) and correlated with height level of Ki67 (Rs = -0.85), confirming the fact of GB cells amino acids increased consumption for membrane synthesis. The obtained correlations MET with ADC and the absence of those with CBF, confirms the dependence glioma methionine metabolism of the new cell membranes building, rather than on neovascularization. Revealed mismatch of MRI and PET/CT parameters confirmed GB structure heterogeneity phenomenon, as well as their significant differences in various genetic status GB subgroups.

Phenotypic and Genetic Heterogeneity of Glioblastoma: Comparison of MRI and PET/CT Parameters with the Molecular Genetic Characteristics of Tumors

Phenotypic and Genetic Heterogeneity of Glioblastoma: Comparison of MRI and PET/CT Parameters with the Molecular Genetic Characteristics of Tumors

What Changed in CNS5? A Mini-Review on General Changes and Adult Diffuse Gliomas.

The fifth edition of the WHO classification of tumors of the central nervous system (WHO CNS5) was published in 2021 which is the sixth version of the international standard for the diagnostics of CNS tumors. Regular updates of the consortium to inform molecular and practical approaches to CNS tumor taxonomy (cIMPACT-NOW) shaped the WHO CNS5 which continues the trend of incorporating the molecular characteristics of tumors into the histological and immunohistochemical findings. The various updates can be classified into general changes across all tumors and specific changes within the tumor groups. This mini-review highlights the general changes and the major changes in adult diffuse gliomas.

Perioperative Modified FOLFIRINOX for Resectable Pancreatic Cancer

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive malignant tumor, and durable disease control is rare with the current standard of care, even for patients who undergo surgical resection. To assess whether neoadjuvant modified 5-fluorouracil, leucovorin, oxaliplatin, and irinotecan (mFOLFIRINOX) leads to early control of micrometastasis and improves survival. This open-label, single-arm, phase 2 nonrandomized controlled trial for resectable PDAC was conducted at the Yale Smilow Cancer Hospital from April 3, 2014, to August 16, 2021. Pancreatic protocol computed tomography was performed at diagnosis to assess surgical candidacy. Data were analyzed from January to July 2023. Patients received 6 cycles of neoadjuvant mFOLFIRINOX before surgery and 6 cycles of adjuvant mFOLFIRINOX. Whole blood was collected and processed to stored plasma for analysis of circulating tumor DNA (ctDNA) levels. Tumors were evaluated for treatment response and keratin 17 (K17) expression. The primary end point was 12-month progression-free survival (PFS) rate. Additional end points included overall survival (OS), ctDNA level, tumor molecular features, and K17 tumor levels. Survival curves were summarized using Kaplan-Meier estimator. Of 46 patients who received mFOLFIRINOX, 31 (67%) were male, and the median (range) age was 65 (46-80) years. A total of 37 (80%) completed 6 preoperative cycles and 33 (72%) underwent surgery. A total of 27 patients (59%) underwent resection per protocol (25 with R0 disease and 2 with R1 disease); metastatic or unresectable disease was identified in 6 patients during exploration. Ten patients underwent surgery off protocol. The 12-month PFS was 67% (90% CI, 56.9-100); the median PFS and OS were 16.6 months (95% CI, 13.3-40.6) and 37.2 months (95% CI, 17.5-not reached), respectively. Baseline ctDNA levels were detected in 16 of 22 patients (73%) and in 3 of 17 (18%) after 6 cycles of mFOLFIRINOX. Those with detectable ctDNA levels 4 weeks postresection had worse PFS (hazard ratio [HR], 34.0; 95% CI, 2.6-4758.6; P = .006) and OS (HR, 11.7; 95% CI, 1.5-129.9; P = .02) compared with those with undetectable levels. Patients with high K17 expression had nonsignificantly worse PFS (HR, 2.7; 95% CI, 0.7-10.9; P = .09) and OS (HR, 3.2; 95% CI, 0.8-13.6; P = .07). This nonrandomized controlled trial met its primary end point, and perioperative mFOLFIRINOX warrants further evaluation in randomized clinical trials. Postoperative ctDNA positivity was strongly associated with recurrence. K17 and ctDNA are promising biomarkers that require additional validation in future prospective studies. ClinicalTrials.gov Identifier: NCT02047474.

Explainable prediction model for the human papillomavirus status in patients with oropharyngeal squamous cell carcinoma using CNN on CT images

Several studies have emphasised how positive and negative human papillomavirus (HPV+ and HPV−, respectively) oropharyngeal squamous cell carcinoma (OPSCC) has distinct molecular profiles, tumor characteristics, and disease outcomes. Different radiomics-based prediction models have been proposed, by also using innovative techniques such as Convolutional Neural Networks (CNNs). Although some of these models reached encouraging predictive performances, there evidence explaining the role of radiomic features in achieving a specific outcome is scarce. In this paper, we propose some preliminary results related to an explainable CNN-based model to predict HPV status in OPSCC patients. We extracted the Gross Tumor Volume (GTV) of pre-treatment CT images related to 499 patients (356 HPV+ and 143 HPV−) included into the OPC-Radiomics public dataset to train an end-to-end Inception-V3 CNN architecture. We also collected a multicentric dataset consisting of 92 patients (43 HPV+ , 49 HPV−), which was employed as an independent test set. Finally, we applied Gradient-weighted Class Activation Mapping (Grad-CAM) technique to highlight the most informative areas with respect to the predicted outcome. The proposed model reached an AUC value of 73.50% on the independent test. As a result of the Grad-CAM algorithm, the most informative areas related to the correctly classified HPV+ patients were located into the intratumoral area. Conversely, the most important areas referred to the tumor edges. Finally, since the proposed model provided additional information with respect to the accuracy of the classification given by the visualization of the areas of greatest interest for predictive purposes for each case examined, it could contribute to increase confidence in using computer-based predictive models in the actual clinical practice.

IMG-10. IMAGING SUBTYPES OF PEDIATRIC LOW-GRADE GLIOMA ARE ASSOCIATED WITH DISTINCT MOLECULAR CHARACTERISTICS

Abstract BACKGROUND Pediatric low-grade gliomas (pLGGs) have diverse molecular subtypes with distinct prognoses, necessitating personalized treatments. We aimed to determine whether radiomic features of pLGGs co-segregate with molecular subtypes, establishing a proof-of-concept that distinct molecular aberrations could manifest in differentiable imaging features. METHODS Leveraging radiomic, genomic, and transcriptomic data from 201 pLGG patients from the Children’s Brain Tumor Network (CBTN), we identified imaging-based pLGG subtypes through their radiophenotypes. This involved investigating the association of imaging subtypes with 2021 WHO pLGG classifications and profiling transcriptional characteristics distinguishing pLGG clusters. We used principal component analysis and K-Means clustering on 881 radiomic features and incorporated clinical variables (age, sex, tumor location), and derived three imaging subtypes. RESULTS BRAF V600E mutations were mainly found in subtype 3, while BRAF::KIAA1549 fusion in subtype 1. To ascertain transcriptome pathways most closely associated with imaging-based subtypes, we applied a supervised machine learning model with elastic net logistic regression using a one-versus-rest strategy for each imaging cluster, considering the top 100 most variable pathways, identified through gene set enrichment and gene co-expression network analyses, molecular subtype, tumor location, age, sex, and race. The predictive accuracy (area under the receiver operating characteristic curve) of the model was 0.86 | 0.72 for imaging subtype 1, 0.93 | 0.71 for subtype 2, and 0.91 | 0.64 for subtype 3 in the training | testing sets. Notably, each imaging subtype exhibited distinct molecular mechanisms; subtype 1 showed up-regulation of oxidative phosphorylation, PDGFRB, and interleukin 4, 10, and 13 signaling, while subtype 3 was linked to histone acetylation and DNA methylation pathways, relating to BRAF V600E pLGGs. CONCLUSIONS Our radiogenomics study suggests that intrinsic molecular characteristics of tumors drive distinct imaging subgroups of pLGG, providing a basis for future multi-modal investigations that may better define progression and targetability of the disease.

Association of early menarche with breast tumor molecular features and recurrence

BackgroundEarly menarche is an established risk factor for breast cancer but its molecular contribution to tumor biology and prognosis remains unclear.MethodsWe profiled transcriptome-wide gene expression in breast tumors (N = 846) and tumor-adjacent normal tissues (N = 666) from women in the Nurses’ Health Studies (NHS) to investigate whether early menarche (age < 12) is associated with tumor molecular and prognostic features in women with breast cancer. Multivariable linear regression and pathway analyses using competitive gene set enrichment analysis were conducted in both tumor and adjacent-normal tissue and externally validated in TCGA (N = 116). Subgroup analyses stratified on ER-status based on the tumor were also performed. PAM50 signatures were used for tumor molecular subtyping and to generate proliferation and risk of recurrence scores. We created a gene expression score using LASSO regression to capture early menarche based on 28 genes from FDR-significant pathways in breast tumor tissue in NHS and tested its association with 10-year disease-free survival in both NHS (N = 836) and METABRIC (N = 952).ResultsEarly menarche was significantly associated with 369 individual genes in adjacent-normal tissues implicated in extracellular matrix, cell adhesion, and invasion (FDR ≤ 0.1). Early menarche was associated with upregulation of cancer hallmark pathways (18 significant pathways in tumor, 23 in tumor-adjacent normal, FDR ≤ 0.1) related to proliferation (e.g. Myc, PI3K/AKT/mTOR, cell cycle), oxidative stress (e.g. oxidative phosphorylation, unfolded protein response), and inflammation (e.g. pro-inflammatory cytokines IFNα\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\alpha$$\\end{document} and IFNγ\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\gamma$$\\end{document}). Replication in TCGA confirmed these trends. Early menarche was associated with significantly higher PAM50 proliferation scores (β = 0.082 [0.02–0.14]), odds of aggressive molecular tumor subtypes (basal-like, OR = 1.84 [1.18–2.85] and HER2-enriched, OR = 2.32 [1.46–3.69]), and PAM50 risk of recurrence score (β = 4.81 [1.71–7.92]). Our NHS-derived early menarche gene expression signature was significantly associated with worse 10-year disease-free survival in METABRIC (N = 952, HR = 1.58 [1.10–2.25]).ConclusionsEarly menarche is associated with more aggressive molecular tumor characteristics and its gene expression signature within tumors is associated with worse 10-year disease-free survival among women with breast cancer. As the age of onset of menarche continues to decline, understanding its relationship to breast tumor characteristics and prognosis may lead to novel secondary prevention strategies.

Hemangiosarcoma Cells Promote Conserved Host-Derived Hematopoietic Expansion.

Hemangiosarcoma and angiosarcoma are soft-tissue sarcomas of blood vessel-forming cells in dogs and humans, respectively. These vasoformative sarcomas are aggressive and highly metastatic, with disorganized, irregular blood-filled vascular spaces. Our objective was to define molecular programs which support the niche that enables progression of canine hemangiosarcoma and human angiosarcoma. Dog-in-mouse hemangiosarcoma xenografts recapitulated the vasoformative and highly angiogenic morphology and molecular characteristics of primary tumors. Blood vessels in the tumors were complex and disorganized, and they were lined by both donor and host cells. In a series of xenografts, we observed that the transplanted hemangiosarcoma cells created exuberant myeloid hyperplasia and gave rise to lymphoproliferative tumors of mouse origin. Our functional analyses indicate that hemangiosarcoma cells generate a microenvironment that supports expansion and differentiation of hematopoietic progenitor populations. Furthermore, gene expression profiling data revealed hemangiosarcoma cells expressed a repertoire of hematopoietic cytokines capable of regulating the surrounding stromal cells. We conclude that canine hemangiosarcomas, and possibly human angiosarcomas, maintain molecular properties that provide hematopoietic support and facilitate stromal reactions, suggesting their potential involvement in promoting the growth of hematopoietic tumors.

Longitudinal analysis of circulating tumor cell numbers improves tracking metastatic breast cancer progression

Hormone-responsive breast cancer represents the most common type and has the best prognosis, but still approximately 40% of patients with this type can develop distant metastases, dramatically worsening the patient’s survival. Monitoring metastatic breast cancer (mBC) for signs of progression is an important part of disease management. Circulating tumor cell (CTC) detection and molecular characteristics gain importance as a diagnostic tool, but do not represent a clinical standard and its value as a predictor of progression is not yet established. The main objective of this study was to estimate the prognostic value of not only the CTC numbers, but also the dynamics of the CTC numbers in the same patient during the continuous evaluation of CTCs in patients with advanced breast cancer. The other objective was to assess the molecular changes in CTCs compared to primary tumor samples by genetic analysis of the seven genes associated with estrogen signaling pathway, mutations in which are often responsible for the resistance to endocrine therapy, and subsequent progression. This approach was taken to evaluate if genetic analysis of CTCs can be used in tracking the resistance, signaling that hormonal therapy should be replaced. Consequently, this report presents the results of a longitudinal CTC study based on three subsequent blood collections from 135 patients with metastatic breast cancer, followed by molecular analysis of the isolated single CTCs. CTCs were detected and isolated using an image-based, EpCAM-independent system CytoTrack; this approach allowed evaluation of EpCAM expression in detected CTCs. Isolated CTCs were subjected to NGS analysis to assess mutational changes. The results confirm the importance of the status of the CTC for progression-free survival and overall survival and provide new data on the dynamics of the CTC during a long monitoring period and in relation to clinical progression, highlighting the advantage of constant monitoring over the single count of CTC. Furthermore, high genetic and phenotypic inter- and intrapatient heterogeneity observed in CTCs suggest that metastatic lesions are divergent. High genetic heterogeneity in the matching CTC/primary tumor samples may indicate early dissemination. The tendency towards the accumulation of activating/oncogenic mutation in CTCs, leading to anti-estrogen resistant disease, was not confirmed in this study.

An Overview of Optic Pathway Glioma With Neurofibromatosis Type 1: Pathogenesis, Risk Factors, and Therapeutic Strategies.

Optic pathway gliomas (OPGs) are most predominant pilocytic astrocytomas, which are typically diagnosed within the first decade of life. The majority of affected children with OPGs also present with neurofibromatosis type 1 (NF1), the most common tumor predisposition syndrome. OPGs in individuals with NF1 primarily affect the optic pathway and lead to visual disturbance. However, it is challenging to assess risk in asymptomatic patients without valid biomarkers. On the other hand, for symptomatic patients, there is still no effective treatment to prevent or recover vision loss. Therefore, this review summarizes current knowledge regarding the pathogenesis of NF1-associated OPGs (NF1-OPGs) from preclinical studies to seek potential prognostic markers and therapeutic targets. First, the loss of the NF1 gene activates 3 distinct Ras effector pathways, including the PI3K/AKT/mTOR pathway, the MEK/ERK pathway, and the cAMP pathway, which mediate glioma tumorigenesis. Meanwhile, non-neoplastic cells from the tumor microenvironment (microglia, T cells, neurons, etc.) also contribute to gliomagenesis via various soluble factors. Subsequently, we investigated potential genetic risk factors, molecularly targeted therapies, and neuroprotective strategies for tumor prevention and vision recovery. Last, potential directions and promising preclinical models of NF1-OPGs are presented for further research. On the whole, NF1-OPGs develop as a result of the interaction between glioma cells and the tumor microenvironment. Developing effective treatments require a better understanding of tumor molecular characteristics, as well as multistage interventions targeting both neoplastic cells and non-neoplastic cells.