Malignant Research Articles

Whole exome sequencing identifies risk variants associated with intracranial epidermoid cyst deterioration: A case report

BACKGROUND Intracranial epidermoid cyst (IEC) transformation to malignant squamous cell carcinoma (SCC) is extremely rare, and its etiology is yet unknown. Currently, SCC is treated by performing surgery, followed by a combination of radiotherapy and chemotherapy. It is crucial to identify efficient and trustworthy therapeutic targets for SCC to improve its diagnosis, prognosis, and treatment. CASE SUMMARY In this study, we report the case of a 47-year-old female patient with SCC, which progressed from IEC in the left internal capsule region. The patient was sought treatment at our hospital for severe diplopic vision, accompanied with speech disorder and memory loss. Based on the clinical and postoperative pathology, this patient was finally diagnosed with SCC. To identify disease-causing variants, whole exome sequencing (WES) was performed on the proband. WES revealed two pathogenic missense mutations on Gap junction protein beta 2 (GJB2) (c.257C>T) and Toll-like receptor 2 (TLR2) (c.1039A>G), respectively. CONCLUSION This study provided the first clinical evidence for demonstrating the role of GJB2 and TLR2 in IEC development and treatment. We further confirmed WES as a robust and reliable technique for underlying rare and complex disease-related genetic factor identification.

Cutaneous T cell lymphoma atlas reveals malignant TH2 cells supported by a B cell-rich tumor microenvironment

AbstractCutaneous T cell lymphoma (CTCL) is a potentially fatal clonal malignancy of T cells primarily affecting the skin. The most common form of CTCL, mycosis fungoides, can be difficult to diagnose, resulting in treatment delay. We performed single-cell and spatial transcriptomics analysis of skin from patients with mycosis fungoides-type CTCL and an integrated comparative analysis with human skin cell atlas datasets from healthy and inflamed skin. We revealed the co-optation of T helper 2 (TH2) cell-immune gene programs by malignant CTCL cells and modeling of the tumor microenvironment to support their survival. We identified MHC-II+ fibroblasts and dendritic cells that can maintain TH2 cell-like tumor cells. CTCL tumor cells are spatially associated with B cells, forming tertiary lymphoid structure-like aggregates. Finally, we validated the enrichment of B cells in CTCL and its association with disease progression across three independent patient cohorts. Our findings provide diagnostic aids, potential biomarkers for disease staging and therapeutic strategies for CTCL.

Diagnosis and typing of leukemia using a single peripheral blood cell through deep learning

AbstractLeukemia is highly heterogeneous, meaning that different types of leukemia require different treatments and have different prognoses. Current clinical diagnostic and typing tests are complex and time‐consuming. In particular, all of these tests rely on bone marrow aspiration, which is invasive and leads to poor patient compliance, exacerbating treatment delays. Morphological analysis of peripheral blood cells (PBC) is still primarily used to distinguish between benign and malignant hematologic disorders, but it remains a challenge to diagnose and type these diseases solely by direct observation of peripheral blood(PB) smears by human experts. In this study, we apply a segmentation‐based enhanced residual network that uses progressive multigranularity training with jigsaw patches. It is trained on a self‐built annotated dataset of 21,208 images from 237 patients, including five types of benign white blood cells(WBCs) and eight types of leukemic cells. The network is not only able to discriminate between benign and malignant cells, but also to typify leukemia using a single peripheral blood cell. The network effectively differentiated acute promyelocytic leukemia (APL) from other types of acute myeloid leukemia (non‐APL), achieving a precision rate of 89.34%, a recall rate of 97.37%, and an F1 score of 93.18% for APL. In contrast, for non‐APL cases, the model achieved a precision rate of 92.86%, but a recall rate of 74.63% and an F1 score of 82.75%. In addition, the model discriminates acute lymphoblastic leukemia(ALL) with the Ph chromosome from those without. This approach could improve patient compliance and enable faster and more accurate typing of leukemias for early diagnosis and treatment to improve survival.

Trends in Sickle Cell Disease Mortality: 1979–2020

BACKGROUND AND OBJECTIVES: Although sickle cell disease (SCD)-related childhood mortality in the United States significantly improved in the 1990s, unclear is the trend in SCD-related mortality more recently given the continued disparities faced by this minoritized population. In this analysis, we aimed to (1) compare the overall and age-specific mortality rates from 1999 to 2009 vs 2010 to 2020 with a particular focus on the age of transition and (2) determine the most common causes of death for the US SCD population for 2010 to 2020. METHODS: We analyzed publicly available data from the Centers for Disease Control and Prevention WONDER database, a compilation of national-level mortality statistics from 1979 to 2020 derived from death certificates compiled by the National Center for Health Statistics. We searched by all individuals of all ethnicities, sexes, and ages using the underlying cause of death. RESULTS: The crude mortality rate for individuals with SCD for 2010 to 2020 was 1.6 per 1 000 000 individuals, which was significantly lower than the period 1999 to 2009 (crude rate 1.7 per 1 000 000, P < .0001). In addition, the mean age at mortality of those with SCD was older in 2010 to 2020 (43 years) versus 1999 to 2009 (39 years). However, there remains a significant increase in mortality rate in the 20 to 24 year age group versus 15 to 19 years (1.7 per 1 000 000 versus 0.7 per 1 000 000, P < .0001), corresponding with the age of transition from pediatric to adult centers. In addition, 39% of underlying causes of death were not caused by SCD, but rather primarily chronic conditions, including cardiovascular, cerebrovascular, malignancy, and renal disease. The study has several limitations mostly because of the imperfections of administrative data sources, including inaccuracies in diagnoses codes, risking over or undercounting. CONCLUSIONS: Although the US SCD-related mortality rate continues to decrease, the age of transition to adult care is a particularly vulnerable time in the lives of this marginalized group. Innovative and expanded approaches to care are greatly needed.

Increased cell killing effect in neutron capture enhanced proton beam therapy

AbstractThermal neutrons generated in the body during proton beam therapy (PBT) can be used to cause boron neutron capture reactions and have recently been proposed as neutron capture enhanced PBT (NCEPBT). However, the cell killing effect of NCEPBT remains underexplored. Here, we show an increase in the cell killing effect of NCEPBT. Using Monte Carlo simulations, we showed that neutrons generated by proton beam irradiation are uniformly spread on tissue culture plates. Human salivary gland tumor cell line (HSG), human osteosarcoma cell line (MG63), human tongue squamous cell carcinoma cell line (SAS), and human malignant melanoma cell line (G-361) were irradiated with X-rays, proton beams, and proton beams with 10B-enriched boronophenylalanine (boron concentration of 20 and 80 ppm). The relative biological effectiveness (RBE) values of proton beams alone, proton beams with 20 ppm boron, and proton beams with 80 ppm boron for HSG, MG63, SAS, and G-361 were 1.02, 1.07, and 1.23; 1.01, 1.08, and 1.44; 1.05, 1.09, and 1.46; and 1.04, 1.13, and 1.63, respectively. NCEPBT with high boron concentration showed high RBE and a high sensitizing effect. Our results confirm an increase in the cell killing effect of NCEPBT, should aid in its clinical use, and warrant its further investigation.

Frequency and clinical associations of common mental disorders in adults with high-grade glioma-A multicenter study.

One third of adults with cancer suffer from common mental disorders in addition to their malignant disease. However, it is unknown whether this proportion is the same in patients who have brain tumors and which factors modulate the risk for psychiatric comorbidity. In a multicenter study, patients with high-grade glioma at 13 neurooncology clinics were enrolled consecutively and interviewed with the Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders (SCID) to diagnose common mental disorders. Predictors of psychiatric comorbidity were investigated using binary logistic regression. Six hundred ninety-one patients were interviewed. The proportion of patients who had mental disorders was 31% (95% confidence interval [CI], 28%-35%). There was evidence for an association of psychiatric comorbidity with the following factors: younger age (odds ratio [OR], 1.9; 95% CI, 1.1-3.4; p = .04), stable disease versus complete remission (OR, 1.7; 95% CI, 1.1-2.8; p = .04), lower income (OR, 1.7; 95% CI, 1.0-2.8; p = .04), living alone (OR, 1.6; 95% CI, 1.0-2.6; p = .05), fatigue (OR, 1.6; 95% CI, 1.1-2.4; p = .03), and impaired cognitive functioning (OR, 2.3; 95% CI, 1.5-3.6; p < .01). There was no evidence for independent effects of gender, histology, affected lobe, time since diagnosis, or employment status. Approximately one third of adult patients with high-grade glioma may suffer from a clinically relevant common mental disorder, without notable disparity between the genders. In particular, clinicians should pay attention to possible comorbidities for cases in which patients exhibit compromised subjective cognitive function, are younger than 50 years, maintain a state of stable disease, or live alone.

Abstract C049: Implementing human bone marrow organoids to interrogate microenvironmental influences on the efficacy of blood cancer immunotherapies

Abstract Cancers perpetuate immunosuppressive niches that fuel progression and hinder the clinical utility of immunotherapies. Pre-clinical validation of immunotherapies often relies on 2D models that lack spatial complexity, or mouse models that do not fully recapitulate the human tumor microenvironment (TME). We recently developed a human induced pluripotent stem cell (iPSC)-derived bone marrow organoid platform, creating a robust system to interrogate cancer-stroma cross talk. Here, we further develop the model to create the first in vitro system for evaluation of blood cancer immunotherapies in a human tissue environment. We focused on targeting myeloproliferative neoplasms (MPNs) – chronic blood cancers affecting ∼400,000 individuals in the US that are currently largely incurable. 1/3 of MPNs are driven by a mutation in calreticulin (mutCALR), and the mutCALR oncoprotein is displayed on the cell surface of disease-initiating stem cells and fibrosis-driving megakaryocytes. MPNs are characterized by pronounced inflammation and fibrosis (“myelofibrosis”). Therapeutic antibodies have entered first-in-human trials, and we recently presented pre-clinical data for the first mutCALR-directed CAR-T cell therapy. However, it is unclear how the TME may limit the efficiency of these agents. To address this, we first tested the utility of the organoid platform to evaluate target killing of leukemic cell lines and cells from patients using the anti-CD33 antibody-drug conjugate (ADC) gemtuzumab. The ADC showed good penetration and potent target cell killing in organoids, with only minimal reduction in efficacy in TGFβ-rich/fibrotic microenvironments. We then developed more sophisticated ‘chimeroids’ comprising the iPSC organoid scaffold engrafted with malignant stem cells plus CAR-Ts. Addition of mutCALR-directed CAR-Ts induced highly selective killing of mutCALR+ stem/progenitor cells with minimal toxicity to non-malignant cells including niche cells (n=5 donors), replicating the highly specific and robust killing seen in 2D cultures. To evaluate the impact of TME perturbations on CAR-T phenotype and function, we generated a scRNAseq dataset of 161,970 cells from ‘healthy’ and ‘myelofibrotic’ organoids engrafted with patient-derived mutCALR+ cells plus CAR-Ts, pre-stimulating organoids with two immunoregulatory cytokines highly abundant in myelofibrosis -TGFβ and Galectin-1. CAR- Ts exposed to mutCALR+ cells showed a 2x expansion of CD8+ effector memory cells, with significant enrichment of IFNγ, TNFα and IL-2 signaling gene-sets. The proportion of immunosuppressive Tregs increased in a high TGFβ TME, but not with Galectin-1. Ongoing analyses are further interrogating crosstalk between CAR-T, target cells, and niche components, and exploring the pro-inflammatory impact of CAR-T killing on the marrow niche – a potential mediator of delayed hematopoietic recovery. These studies demonstrate the utility of human organoids to evaluate blood cancer-targeting immunotherapies within a relevant human TME, with broad relevance for mechanistic and translational studies. Citation Format: Zoë C. Wong, Yuqi Shen, Alex Rampotas, Isaac Gannon, Charlotte Brierley, Camelia Benlabiod, Nawshad Hayder, Eleanor Murphy, Aude-Anaïs Olijnik, Claire Roddie, Martin Pulé, Adam J. Mead, Abdullah O. Khan, Bethan Psaila. Implementing human bone marrow organoids to interrogate microenvironmental influences on the efficacy of blood cancer immunotherapies [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor-body Interactions: The Roles of Micro- and Macroenvironment in Cancer; 2024 Nov 17-20; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(22_Suppl):Abstract nr C049.

Advanced treatment-resistant ovarian germ cell tumor (yolk sac tumor) with successful fertility realization 20 years after combined treatment: a case report

Background. Yolk sac tumors (YST) are classified as rare malignant germ cell tumors of the ovaries, most commonly found in young patients interested in preserving fertility. YST is characterized by large size, predominantly unilateral involvement, and increased production of alpha-fetoprotein, which can be used as an important diagnostic criterion for this condition. Among all germ cell tumors, YST has the least favorable prognosis. The primary goals of YST treatment are not only to improve prognosis and quality of life but also to enable the patient to fulfill her reproductive plans in the future.Description of the clinical case. We present a clinical case of an aggressive course of yolk sac tumor in the ovary of a 15-year-old girl, requiring multiple surgeries, repeated courses of high-dose drug therapy, and bone marrow transplantation.Conclusion. This is a rare case of YST with successful preservation of reproductive function due to modern medical technologies despite aggressive treatment.

Abstract A038: A targetable tumor-induced wound-healing response is essential for osteosarcoma lung metastasis

Abstract Lung metastasis is responsible for nearly all deaths in children and teenagers affected by osteosarcoma, the most common pediatric sarcoma. The mechanisms by which malignant bone cells manipulate the lung microenvironment to promote the colonization and growth of metastatic tumor cells remain unclear but represent a potential therapeutic opportunity for preventing and treating metastasis. In this study, we sought to understand how osteosarcoma cells educate the lung microenvironment during metastatic progression. To address this gap, we generated several time series datasets of niche-labeled, single-cell RNA-seq of developing metastatic lesions and then used these to characterize the changes occurring in tumor and tumor-associated stromal cells during colonization. After identifying candidate mechanisms, we tested several therapeutic interventions to evaluate their effects on metastasis development in vitro using a tumor-on-lung co-culture system and in vivo using our animal models. Osteosarcoma cells induced acute epithelial injury upon lung dissemination. Shortly after dissemination, a paracrine loop established between a hyper-secretory, hypo-proliferative subpopulation of tumor cells and alveolar epithelial cells triggers the adoption of a chronic, non-resolving wound phenotype within the surrounding tissues that culminates in extensive tissue fibrosis with persistent extracellular matrix deposition, especially fibronectin. Cellular changes observed during this process include the proliferation of type 2 alveolar epithelial cells, the accumulation of highly fibrogenic epithelial intermediates (analogous to those observed in pulmonary fibrosis), and the emergence of a large population of scar-promoting macrophages. The formation of this matrix seems essential for lesion formation—disruption of the matrix-tumor cell interaction eliminated pseudonodules in vivo. Inhibition of pro-fibrotic pathways using nintedanib, an FDA- approved drug used to treat pulmonary fibrosis, or of tumor-epithelial paracrine signals with anakinra, an antagonist of IL1 signaling, effectively blocked metastatic lesion growth in both murine and human xenograft models, showing evidence of microenvironment reprogramming in the single cell data. Combining these therapies, which target primarily the hyper-secretory, hypo-proliferative “anchor” cells, with conventional therapies, which target proliferating tumor cells, proved highly effective in eliminating established metastatic lesions. Our work demonstrates that disseminated osteosarcoma cells trigger an aberrant, non-resolving wound-healing response in tumor-associated lung tissues, similar to that observed in non-malignant pulmonary fibrosis, and that this pathologic wound-healing response promotes metastatic growth. Therapeutic disruption of fibrosis-associated signaling prevents metastasis and treats established metastatic disease in multiple osteosarcoma models. Citation Format: James B. Reinecke, Leyre Jimenez Garcia, Amy C. Gross, Matthew V. Cannon, Yogesh Budhathoki, Ryan D. Roberts. A targetable tumor-induced wound-healing response is essential for osteosarcoma lung metastasis [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor-body Interactions: The Roles of Micro- and Macroenvironment in Cancer; 2024 Nov 17-20; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(22_Suppl):Abstract nr A038.

Abstract C040: Spatial transcriptomics unveils disparities in tumor microenvironment dynamics between breast cancer responders and non-responders

Abstract Spatial transcriptomics is revolutionizing our understanding of cellular dynamics and interactions in the tumor microenvironment (TME). By mapping distinct cellular populations and their interactions, we can gain valuable insights into tumor behavior. To investigate these dynamics in breast cancer, we conducted Xenium In-situ spatial transcriptomics on twenty formalin-fixed paraffin-embedded (FFPE) samples taken from eight patients undergoing neoadjuvant chemotherapy. These samples have been taken pre-treatment, mid-treatment and post-treatment from four cases with pathological complete response (pCR), and four cases with residual disease (RD) at time of surgery. Our analyses have found distinct cellular composition changes between pCR and RD cases. Patients with RD demonstrated an increase in endothelial, perivascular-like (PVL) and epithelial cells from pre- to post-treatment. This was accompanied by a decrease in myeloid and malignant epithelial cells at mid-treatment. In contrast, patients with pCR demonstrated increases in cancer-associated fibroblasts (CAFs) and myeloid cells, with reductions in plasmablasts and cancer epithelial cells at mid-treatment. This suggests that an increase in CAF and myeloid cells observed between pre-treatment and mid-treatment samples may be predictive of response. We performed ligand-receptor (LR) analyses, which demonstrated diverse myeloid interactions in RD cases and diverse CAF interactions in pCR cases in pre-treatment samples. Mid-treatment samples exhibited a decrease in interactions for CAFs, myeloid and T cells in pCR and RD cases. The most frequently identified CAF LR interactions, as senders, were between TGFB1/TGFB3 and TGFBR1/TGFBR2, while the most frequently identified myeloid LR interactions were between PDCD1LG2 - PDCD1 (encoding PDL2 &amp; PD1), CCL8 - ACKR1 (encoding Atypical Chemokine Receptor 1) and CCL2 - ACKR1. Our findings indicate that the dynamic changes in cellular composition and interactions within the TME differs between responders and non-responders. To further explore these differences, we plan to perform spatially constrained analyses to identify unique cellular niches that may serve as potential biomarkers for informing novel therapeutic strategies. Citation Format: Jeremy Mo, Hanyun Zhang, Kate Harvey, Alexander Swarbrick. Spatial transcriptomics unveils disparities in tumor microenvironment dynamics between breast cancer responders and non-responders [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor-body Interactions: The Roles of Micro- and Macroenvironment in Cancer; 2024 Nov 17-20; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(22_Suppl):Abstract nr C040.

Abstract A001: Reciprocal activation of breast cancer metastases and the lung epithelium during metastatic outgrowth

Abstract Introduction. During metastasis, tumor cells interact extensively with endogenous cells in distant organs. These interactions change the behavior of these surrounding cell populations, often inducing a more pro-tumor microenvironment. The lung is one of the most common sites of breast cancer (BC) metastasis, and in the lung, alveolar epithelial cells are the most common cell type. My data suggest that the lung alveolar epithelium contributes to metastatic outgrowth, and I hypothesize that BC lung micrometastases activate surrounding lung epithelial cells which, in turn, support the outgrowth of BC metastases within the lung. The overall purpose of these studies is to identify factors secreted by resident lung epithelial cells that could be used as metastasis-specific therapeutic targets and/or agents. Methods. To test this hypothesis, I utilized immunocompetent preclinical BC metastasis models to study lung metastatic outgrowth, the stage at which most patients are diagnosed with metastatic disease. A custom imaging panel was developed to quantify lung wound repair, and single-cell RNA-sequencing (scRNAseq) was performed on mouse lungs with high or low metastatic burden to identify genes in the lung epithelium that produce potentially targetable pro-metastatic secreted factors. No-contact co-culture experiments were used to directly study reciprocal paracrine interactions between lung type II alveolar epithelial (AT2) and BC cells. Results. A wound repair-related phenotype, characterized by chronic inflammation, developed within the lung microenvironment during metastatic outgrowth, including an increase in the number and activation of AT2 cells surrounding metastases as they grow. Single-cell RNA-sequencing of mouse lungs with a high vs. low metastatic burden showed that metastatic outgrowth significantly changed AT2 gene expression resulting in a modified secretome. No-contact co-culture experiments indicated that TNBC cells directly alter AT2 gene expression, while AT2 secreted factors promoted TNBC growth. I investigated the possible mechanism(s) responsible for these effects and discovered that AT2 pulmonary surfactant protein and lipid levels are altered by BC-derived secreted factors. Interestingly, treatment with the naturally derived calf surfactant Infasurf, which contains native surfactant proteins/lipids and is FDA-approved for use in premature infants, inhibited BC proliferation. Conclusion. Low levels of surfactant are commonly associated with pulmonary disease and lung cancer. My BC lung metastasis data suggest that something similar may be occurring in the lungs during metastatic outgrowth. Overall, my studies demonstrate the potential for targeting lung epithelial cells in the metastatic microenvironment, in addition to directly targeting malignant cells, as an effective way to treat and manage BC lung metastases. Citation Format: Jessica L. Christenson, Nicole S. Spoelstra, Jennifer K. Richer. Reciprocal activation of breast cancer metastases and the lung epithelium during metastatic outgrowth [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor-body Interactions: The Roles of Micro- and Macroenvironment in Cancer; 2024 Nov 17-20; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(22_Suppl):Abstract nr A001.

Regulation of Apoptosis, Autophagy, and Metastasis by Luteolin in Human Bladder Cancer EJ138 Cells: An Experimental Study

Background: Chemotherapy remains a primary approach to cancer treatment, widely applied in bladder cancer (BC). However, the various side effects and resistance associated with chemotherapeutic drugs pose significant challenges in BC therapy, prompting interest in natural compounds like luteolin. Studies focus on its effects on key biological processes involved in BC, including metastasis, apoptosis, and autophagy. Objectives: This study investigated the regulation of mRNA expression of genes associated with apoptosis (BCL2, P53), autophagy (ULK1, ATG12), and metastasis (MMP2, MMP9) in malignant BC cells treated with luteolin. Methods: This was an in vitro experimental study. EJ138 BC cells were treated with various concentrations of luteolin, and its impact on cell viability, proliferation, and gene expression was assessed. The cytotoxic effect of luteolin on EJ138 BC cells was evaluated using the MTT assay after 24- and 48-hour treatments with different luteolin concentrations. Flow cytometry was performed to examine luteolin’s anti-proliferative effect, and RT-PCR was used to analyze mRNA expression of BCL2, P53, ULK1, ATG12, MMP2, and MMP9 genes. Results: MTT assay results confirmed that luteolin reduced the proliferation rate of BC cells. Flow cytometry indicated increased cell death in EJ138 BC cells following luteolin treatment. RT-PCR findings demonstrated that luteolin upregulated P53, ULK1, and ATG12 expression while downregulating BCL2 mRNA expression. However, luteolin treatment in EJ138 cells did not significantly alter MMP2 and MMP9 expression levels. Conclusions: These findings indicate that luteolin exerts cytotoxic effects on EJ138 BC cells by dysregulating mRNA expression of genes involved in apoptosis and autophagy. Therefore, luteolin shows potential as an effective anti-cancer agent for BC therapy.

Optimization Processes of Clinical Chelation-Based Radiopharmaceuticals for Pathway-Directed Targeted Radionuclide Therapy in Oncology

Targeted radionuclide therapy (TRT) for internal pathway-directed treatment is a game changer for precision medicine. TRT improves tumor control while minimizing damage to healthy tissue and extends the survival for patients with cancer. The application of theranostic-paired TRT along with cellular phenotype and genotype correlative analysis has the potential for malignant disease management. Chelation chemistry is essential for the development of theranostic-paired radiopharmaceuticals for TRT. Among image-guided TRT, 68Ga and 99mTc are the current standards for diagnostic radionuclides, while 177Lu and 225Ac have shown great promise for β- and α-TRT, respectively. Their long half-lives, potent radiobiology, favorable decay schemes, and ability to form stable chelation conjugates make them ideal for both manufacturing and clinical use. The current challenges include optimizing radionuclide production processes, coordinating chelation chemistry stability of theranostic-paired isotopes to reduce free daughters [this pertains to 225Ac daughters 221Fr and 213Bi]-induced tissue toxicity, and improving the modeling of micro dosimetry to refine dose–response evaluation. The empirical approach to TRT delivery is based on standard radionuclide administered activity levels, although clinical trials have revealed inconsistent outcomes and normal-tissue toxicities despite equivalent administered activities. This review presents the latest optimization methods for chelation-based theranostic radiopharmaceuticals, advancements in micro-dosimetry, and SPECT/CT technologies for quantifying whole-body uptake and monitoring therapeutic response as well as cytogenetic correlative analyses.

BCDNet: A Deep Learning Model with Improved Convolutional Neural Network for Efficient Detection of Bone Cancer Using Histology Images

Among the several types of cancer, bone cancer is the most lethal prevailing in the world. Its prevention is better than cure. Besides early detection of bone cancer has potential to have medical intervention to prevent spread of malignant cells and help patients to recover from the disease. Many medical imaging modalities such as histology, histopathology, radiology, X-rays, MRIs, CT scans, phototherapy, PET and ultrasounds are being used in bone cancer detection research. However, hematoxylin and eosin stained histology images are found crucial for early diagnosis of bone cancer. Existing Convolutional Neural Network (CNN) based deep learning techniques are found suitable for medical image analytics. However, the models are prone to mediocre performance unless configured properly with empirical study. Within this article, we suggested a framework centered on deep learning for automatic bone cancer detection. We also proposed a CNN variant known as Bone Cancer Detection Network (BCDNet) which is configured and optimized for detection of a common kind of bone cancer named Osteosarcoma. An algorithm known as Learning based Osteosarcoma Detection (LbOD). It exploits BCDNet model for both binomial and multi-class classification. Osteosarcoma-Tumor-Assessment is the histology dataset used for our empirical study. Our the outcomes of the trial showed that BCDNet outperforms baseline models with 96.29% accuracy in binary classification and 94.69% accuracy in multi-class classification.

Haematogenous seeding in mycosis fungoides and Sézary syndrome: Current evidence and clinical implications.

Cutaneous T-cell lymphomas (CTCLs) are a heterogeneous group of diseases characterised by abnormal neoplastic T-cell growth in the skin. Mycosis fungoides (MF), the most common CTCL, manifests as erythematous skin patches and/or plaques, tumours or erythroderma. The disease may involve blood, lymph nodes and rarely viscera. Sézary syndrome (SS) is a unique leukaemia/lymphoma syndrome related to MF, which presents with blood and skin involvement at diagnosis. The pathogenesis of MF/SS is not fully elucidated. The presence of skin lesions at distant sites underpins a hypothesis that MF/SS lesions may develop through haematogenous seeding. Phenotypic similarities between malignant and normal T-cells led to the notion that disease-initiating mutations occur in specific subtypes of mature T-cells, which are responsible for most CTCLs. However, this mature T-cell precursor model is not always consistent with clinical observations and research on MF/SS pathogenesis. Here, we review evidence supporting an alternative model of pathogenesis for MF/SS involving haematogenous seeding as a key process responsible for the initiation and progression of the disease. According to this hypothesis, malignant transformation occurs at an early stage of T-cell development (probably in bone marrow or thymus), yielding circulating neoplastic T-cells which colonise the skin where the microenvironment is most permissive for proliferation and evolution. These mutated precursor cells seed the skin where they find a suitable niche to develop into clinically perceptible disease. Subsequently, malignant T-cells can re-enter the bloodstream, re-seed pre-existing lesions and seed new areas of the skin, causing synchronous and convergent changes in the transcriptomic profile of lesions and tumours, and clinical disease progression - 'consecutive haematogenous seeding' captures this temporal phenomenon. This model radically changes the current understanding of CTCL pathogenesis, transforming it from a primarily cutaneous disease with secondary involvement of blood, to a systemic disease, where the spread of malignant cells through the blood to the skin is not a phenomenon of advanced disease but is an essential component of pathogenesis. This understanding of MF/SS could have several clinical implications, including standardising our approach to assessing blood tumour burden, potential advances in prognosis and monitoring, and investigating combination treatments to improve patient outcomes.

Clinical characteristics of monoclonal immunoglobulin-associated renal disease: a retrospective cohort study.

Clinical epidemiological data on monoclonal gammopathy of renal significance (MGRS) are lacking. In this retrospective observational study, MGRS was compared with B-cell or plasma cell malignancies (BCM/PCM) with renal involvement to clarify differences in their clinical features. Among the 1408 renal biopsies performed at our hospital, 25 MGRS and 18 BCM/PCM patients were identified. We investigated baseline characteristics and hematologic parameters of MGRS in reference to BCM/PCM using multivariable analysis. Cox proportional hazards analysis was performed for end-stage kidney disease (ESKD) and all-cause mortality. Comparing the MGRS with the BCM/PCM, meandifferences in creatinine level, estimated glomerular filtration rate, and clonal bone marrow plasma cell percentage were -2.76mg/dL, 27.72mL/min/1.73m2, and -18.86%, respectively (all P < 0.001). MGRS group had a predominance of glomerular lesions such as immunoglobulin-associated amyloidosis, cryoglobulinemic GN, and MIDD, and a lower risk of acute kidney injury/acute renal disease compared to BCM/PCM. During a median observation period of 23.7months, clone-directed therapy was performed in 32.0% of patients in the MGRS group, compared to 83.3% of patients in the BCM/PCM group. Compared with BCM/PCM, MGRS had a hazard ratio of 0.66 (95% confidence interval (CI) 0.23-1.92, P = 0.45) for ESKD and 0.33 (95% CI 0.11-1.03, P = 0.06) for death in multivariate logistic regression analysis. The clinical characteristics of MGRS and BCM/PCM with monoclonal immunoglobulin-associated renal disease are disparate. Understanding these differences is crucial for developing tailored clinical approaches and therapeutic strategies to improve patient outcome.

Highly sensitive deep panel sequencing of 27 HPV genotypes in prostate cancer biopsies results in very low detection rates and indicates that HPV is not a major etiological driver of this malignancy.

Human papillomavirus (HPV) has been proposed to contribute to the carcinogenesis of prostate cancer. However, previous studies have yielded conflicting results. This study aims to add useful information to the ongoing discussion concerning the association between HPV infection and prostate cancer. We used two high-throughput next-generation sequencing (NGS) approaches to detect HPV RNA in malignant and adjacent normal (AN) prostate tissue (cohorts 1 and 2) and HPV DNA from carcinogenic and probably/possibly carcinogenic-classified HPV types (cohort 3) in malignant prostate, AN prostate, and benign prostatic hyperplasia (BPH) tissues. In total, 0% (cohort 1: 0/83, cohort 2: 0/16) of the malignant prostate tissue samples and 0% (cohort 1: 0/23, cohort 2: 0/8) of the AN prostate tissue samples were positive for HPV RNA. A total of 8.3% (1/12) of the BPH samples, 0% (0/28) of the AN samples, and 0.8% (1/132) of the malignant prostate samples were positive for HPV16 DNA. However, the normalized read count of the HPV16-positive malignant sample was close to the cut-off. In addition, no other carcinogenic-classified HPV types were detected in any of the BPH, AN, or malignant prostate tissue samples. Our study does not support HPV infection as a major contributor to the etiology of prostate cancer.

Single-cell transcriptomic landscape deciphers olfactory neuroblastoma subtypes and intra-tumoral heterogeneity.

Olfactory neuroblastoma (ONB) is a rare malignancy known to originate from the olfactory epithelium. The complex tumor ecosystem of this pathology remains unclear. Here, we explored the cellular components within ten ONB tumors and one olfactory mucosa sample based on single-cell RNA profiles. We showed the intra-tumoral heterogeneity by identifying five unique expression programs among malignant epithelial cells. A distinct three-classification system (neural, basal, mesenchymal) for ONB was established according to the distinguished gene expression patterns. Biomarkers for categorizing bulk tumors into uncharacterized subtypes were elucidated. Different responses towards certain chemotherapy regimens could be cautiously inferred according to the molecular features representing the three tumor types, thus helping with precision chemotherapy. We also analyzed subclusters of the tumor microenvironment (TME) and the interactions among different cell types within the TME. The relative abundance of immunosuppressive tumor-associated macrophages suggests potential benefits of immunotherapies targeting macrophages.

Aberrant activation of wound healing programs within the metastatic niche facilitates lung colonization by osteosarcoma cells.

Lung metastasis is responsible for most deaths caused by osteosarcoma. How malignant bone cells coerce the lung microenvironment to support metastatic growth remains unclear. We sought to identify metastasis-specific therapeutic vulnerabilities by delineating the cellular and molecular mechanisms essential to metastatic niche formation in the lung. We used single-cell transcriptomics (scRNA-seq) to characterize molecular changes induced within lung tissues by disseminated osteosarcoma cells. We then evaluated the ability of nintedanib to reverse metastasis-specific changes in both immunocompetent mouse and immunodeficient xenograft models. Molecular pharmacodynamic studies used single-nucleus and spatial transcriptomics to define the tumor-intrinsic and -extrinsic changes induced by the drug. Osteosarcoma cells induced acute alveolar epithelial injury upon lung dissemination. scRNA-seq demonstrated that the surrounding lung stroma adopts a chronic, non-resolving wound-healing phenotype similar to diseases associated with lung injury. Accordingly, metastasis-associated lung demonstrated marked fibrosis, likely due to the accumulation of pathogenic, pro-fibrotic, partially differentiated epithelial intermediates and macrophages. Our data suggested that nintedanib prevented metastatic progression in multiple murine and human xenograft models by inhibiting osteosarcoma-induced fibrosis. Fibrosis is essential to osteosarcoma lung metastasis and represents a targetable vulnerability. Our data support a model where interactions between osteosarcoma and epithelial cells induce the deposition of extracellular matrix proteins-a reaction disrupted by the anti-fibrotic TKI nintedanib. Our data shed light on the non-cell autonomous effects of TKIs on metastasis and provide a roadmap for using single-cell and spatial transcriptomics to define the mechanism of action of TKIs on metastases in animal models.

Abstract A016: YBX1 is a negative regulator of post-transcriptional program associated with invasion and metastasis in cSCC

Abstract Y-box binding protein 1 (YB-1), which is encoded by YBX1 gene, is a multifunctional cold-shock protein that binds both DNA and RNA to orchestrate transcription as well as RNA processing and translation. Recently, we demonstrated that YBX1 is a post-transcriptional effector required for the maintenance of epidermal homeostasis. Although it was well known that YBX1 plays prominent pro-oncogenic roles in malignant transformation and cell invasion in a wide variety of cancers, the role of YBX1 in cutaneous squamous cell carcinoma (SCC) is poorly understood. Here, we report that YBX1 protein level is higher in SCC tumor compared with non-neoplastic skin, but it goes down during tumor progression, in invasive and metastatic states. Indeed, both in vitro and in vivo experiments show that YBX1 acts as an antagonist of SCC progression, inhibiting its migration, invasiveness and metastasis. YBX1 is predominantly found in the cytoplasm of SCC cells. Therefore, we focused on the role of YBX1 as a posttranscriptional regulator and performed an eCLIP-seq (crosslinking immunoprecipitation sequencing) to identify its direct RNA targets. We found that YBX1 binds pro-invasive RNA associated with cell-cell and cell-matrix adhesions. From the integration of eCLIP-seq data with RNA-Bisulfite Seq data, an increased number of m5C modifications was observed to be located within the 3'UTR and CDS of tumor-enriched YBX1 target regions. Upon silencing of YBX1, polysome fractionation analysis revealed that YBX1 KD regulates targets involved in cancer motility, revealing that the loss of function of YBX1 promotes migration and invasion at the post-transcriptional Citation Format: Stefano Sol, Anna Mandinova, Fabiana Boncimino, Kristina Todorova, Emery Di Cicco, Toma Tebaldi, Giorgia Bucciarelli. YBX1 is a negative regulator of post-transcriptional program associated with invasion and metastasis in cSCC [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: RNAs as Drivers, Targets, and Therapeutics in Cancer; 2024 Nov 14-17; Bellevue, Washington. Philadelphia (PA): AACR; Mol Cancer Ther 2024;23(11_Suppl):Abstract nr A016.