Tumor Therapeutic Responses Research Articles

Murine Xenograft Models as Preclinical Tools in Endometrial Cancer Research.

Murine xenograft models are valuable and increasingly used preclinical tools in cancer research to understand disease pathogenesis and guide treatment options. The aim of this narrative review is to summarize the studies that employed mouse xenograft models, using cell lines, patient-derived tumors, or organoids, in endometrial cancer (EC) research, detailing their methodology and main findings. We identified 27 articles reporting on heterotopic EC xenografts, including subcutaneous, subrenal capsule, intraperitoneal, and retro-orbital models, and 18 articles using orthotopic xenografts. Subcutaneous xenografts generated using either cell lines or patient tumors have been widely used; however, their low engraftment rates and the inability to recapitulate main clinical features such as metastases limit their translational value. Subrenal capsule models showed improved engraftment rates compared to subcutaneous models, but tumors exhibited slower and constrained tumor growth. Orthotopic models are technically more challenging to generate and monitor, but tumor growth occurs in a relevant microenvironment and EC ortho-xenografts exhibit high engraftment rates and metastases to clinically relevant sites. Cell line-based xenograft (CDX) models are attractive tools because they are convenient, easy to use, and amenable to genetic modifications, making them suitable for proof-of-concept approaches and large-scale studies. EC xenografts developed from patient tumors (PDTXs) are more labor/cost-intensive for their establishment but can capture the genetic and molecular heterogeneity within and across histologic subtypes and can inform personalized patient treatment. EC organoid-based xenograft (PDOX) models combine the advantages of both CDXs and PDTXs since they are more time- and cost-effective, faithfully maintain tumor characteristics and therapeutic responses, and can be genetically modified. Despite substantial progress in EC management, there are still several unmet needs. Efficient targeted treatments are currently indicated only for a small subgroup of patients, while women with recurrent or advanced-stage EC have very few therapeutic options and their prognosis remains unfavorable. Novel (targeted) drugs, combinational regimens and tools to predict the real drug response in patients are urgently needed. Xenograft models are expected to inform about disease mechanisms and to help identify novel therapeutic options and suitable target patients.

Abstract PR003: Sex-dependent changes in the aged melanoma tumor microenvironment influence metastasis and therapeutic responses

Abstract There is documented sex disparity in cutaneous melanoma incidence and mortality, increasing disproportionately with age and in the male sex. However, the underlying mechanisms remain unclear; while biological sex differences and inherent immune response variability have been assessed in tumor cells, the role of the tumor-surrounding microenvironment, contextually in aging, has been overlooked. Dermal fibroblasts are known to have profound impact on melanoma progression. We examined if both sex-dependent and age-related changes in these fibroblasts can alter the course of melanoma tumor growth, visceral metastasis, and responses to therapy. We find that skin fibroblasts undergo age-mediated sex-differential changes in their proliferation, senescence, ROS production and stress response. We find that aged male fibroblasts drive an invasive, therapy-resistant phenotype in melanoma cells and promote metastasis in aged male mice by increasing AXL expression. Intrinsic aging promotes sex- dimorphic BMP2 secretion exclusively by aged male fibroblasts, which in turn drives the slower-cycling, highly invasive, and therapy-resistant melanoma cell phenotype, characteristic of the aged male TME. Inhibition of BMP2 activity blocks the emergence of invasive phenotype and sensitizes melanoma cells to BRAF/MEK inhibition. Our data provide an integrated view of how host factors such as advancing age and biological sex alter the tumor microenvironment and contribute to disease progression. Bridging this knowledge gap will improve patient stratification and assist in tailoring the therapy and achieve gender-equitable healthcare. Citation Format: Yash Chhabra, Ashani T. Weeraratna. Sex-dependent changes in the aged melanoma tumor microenvironment influence metastasis and therapeutic responses [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 PR003.

Characterization of Breast Cancer Intra-Tumor Heterogeneity Using Artificial Intelligence.

Intra-tumor heterogeneity (ITH) is a fundamental characteristic of breast cancer (BC), influencing tumor progression, prognosis, and therapeutic responses. However, the complexity of ITH in BC makes its accurate characterization challenging. This study leverages deep learning (DL) techniques to comprehensively evaluate ITH in early-stage luminal BC and provide a nuanced understanding of its impact on tumor behavior and patient outcomes. A large cohort (n = 2561) of early-stage luminal BC was evaluated using whole slide images (WSIs) of hematoxylin and eosin-stained slides of excision specimens. Morphological features of both the tumor and stromal components were meticulously annotated by a panel of pathologists in a subset of cases. A DL model was applied to develop an algorithm to assess the degree of heterogeneity of various morphological features per individual case utilizing defined patches. The results of extracted features were used to generate an overall heterogeneity score that was correlated with the clinicopathological features and outcome. Overall, 162 features were quantified and a significant positive correlation between these features was identified. Specifically, there was a significant association between a high degree of intra-tumor heterogeneity and larger tumor size, poorly differentiated tumors, highly proliferative tumors, tumors of no special type (NST), and those with low estrogen receptor (ER) expression. When all features are considered in combination, a high overall heterogeneity score was significantly associated with parameters characteristic of aggressive tumor behavior, and it was an independent predictor of poor patient outcome. In conclusion, DL models can be used to accurately decipher the complexity of ITH and provide extra information for outcome prediction.

TMIC-79. IDH1-R132H REWIRES AUTOPHAGY IN THE GLIOMA MICROENVIRONMENT TO FACILITATE TUMOR PROGRESSION AND RESPONSE TO RADIATION

Abstract Gliomas are primary brain tumors with a poor prognosis. IDH1R132H exhibits a gain of function mutation leading to 2-hydroxyglutarate (2HG) production. We previously demonstrated, 2-HG mediated epigenetic rewiring is associated with better prognosis and its presence impacts several cellular functions including immune responses and enhanced DNA-damage response in IDH1R132H gliomas harboring p53 and ATRX loss-of-function mutations. Also, IDH1R132H elicits metabolic reprogramming which implies that IDH1R132H could modify the energetic state of gliomas with consequences in tumor biology and therapeutic responses. In this study, RNA-seq and ChIP-seq data revealed human and mouse IDH1R132H gliomas have downmodulated gene ontologies related to mitochondrial metabolism. This was paralleled by a decrease in glycolysis, rendering autophagy as a source of energy for IDH1R132H glioma cells. We also found that IDH1R132H-neurospheres have decreased levels of oxygen consumption and extracellular acidification rates, characteristic of an autophagic/quiescent state when compared to IDH1WT-neurospheres. Analysis of the autophagy pathway revealed that both human and mouse IDH1R132H gliomas have increased expression of pULK1-S555, pATG4b-S383, enhanced conversion of LC3I to LC3II, and decreased expression of pULK1-S757, p62 indicating that IDH1R132H cells have augmented autophagy activity compared to IDH1WT cells. Blocking autophagy selectively impairs the growth of IDH1R132H glioma cells in vitro. Targeting autophagy by systemic administration of synthetic protein nanoparticles packaged with siRNA targeting Atg7 sensitized IDH1R132H glioma cells to radiation-induced cell death, resulting in tumor regression, long-term survival, and immunological memory when used in combination with irradiation. Our results thus indicate that the metabolic changes in IDH1R132H glioma cells lead to compromised mitochondrial functions and increased autophagic activity which contributes to their radioresistance, representing a novel therapeutic target for IDH1R132H cells. *Corresponding author: Maria G. Castro: mariacas@med.umich.edu Equal contributions: KB-FN-AM-AM-CT Funding: This work was supported by National Institutes of Health/National Institute of Neurological Disorders & Stroke (NIH/NINDS) Grants: [R37-NS094804, R01-NS122165, R21-NS123879-01 awarded to MGC]; [R01-NS122378, R01-NS122234 awarded to PRL], Ian’s Friends & Chad Tough Foundation.

Comprehensive pan-cancer analysis reveals ENC1 as a promising prognostic biomarker for tumor microenvironment and therapeutic responses

Accumulating research showed that ENC1 plays a critical role in maintaining the physiological functions. However, little is known about its role in predicting prognosis and immunotherapy response across cancers. In our results, compared to normal tissues, most cancer tissues exhibit increased ENC1 expression. We found that the most common type of genetic variation was gene mutation. In addition, a positive correlation was found between CNV and ENC1 expression. Moreover, the overexpression of ENC1 was positively correlated with poor clinical outcomes. The GSEA results showed that ENC1 is closely correlated with tumor-promoting biological functions in most cancers. ENC1 is also closely negatively associated with the infiltration levels of T cells, activated NK cells, and B cells. Most immunomodulators are positively associated with ENC1. Further, we verified that inhibition of ENC1 expression suppressed the proliferation and migration of breast cancer, pancreatic cancer and glioma cells. In conclusion, our study demonstrated that ENC1 plays a protumorigenic role in most cancers. Additionally, ENC1 is closely correlated with tumor microenvironment features and immune checkpoint inhibitors expression. Overall, ENC1 could serve as a promising potential prognostic biomarker in various tumors.

Safety and efficacy of DEB-TACE in combination with lenvatinib and camrelizumab for the treatment of unresectable hepatocellular carcinoma (uHCC): a two-centre retrospective study.

The purpose of this study was to compare the safety and efficacy of drug-eluting bead (DEB) transarterial chemoembolization combined with lenvatinib and camrelizumab (DEB-TACE-Len-C) and DEB-TACE-Len for the treatment of unresectable hepatocellular carcinoma (uHCC). This retrospective study consecutively included uHCC patients who underwent DEB-TACE-Len-C or DEB-TACE-Len treatment at our hospital and Qujing Second People's Hospital from April 2020 to April 2022. In total, 85 patients were enrolled. There were 42 patients in the DEB-TACE-Len-C group and 43 patients in the DEB-TACE-Len group. The disease control rate (DCR), objective response rate (ORR), overall survival (OS), progression-free survival (PFS), and adverse events (AEs) were compared between the two groups, and the factors influencing OS and PFS were analysed. The ORR, DCR, PFS and OS were significantly greater in the DEB-TACE-Len-C group than in the DEB-TACE-Len group (ORR: 76.2% vs. 46.5%, P = 0.005; DCR: 88.1% vs. 67.8%, P = 0.039; PFS: 10 months vs. 6 months, P <0.0001; OS: 24 months vs. 16 months, P = 0.0038). Multivariate Cox proportional hazard regression analysis revealed that portal tumour thrombus (PVTT) and therapeutic approach were independent factors affecting PFS and OS. There were no statistically significant differences in the incidence of AEs between the two groups (P > 0.05). Compared with DEB-TACE-Len, DEB-TACE-Len-C is an effective treatment option that can improve the tumour therapeutic response and prolong the OS and PFS in uHCC patients.

Targetable treatment resistance in thyroid cancer with clonal hematopoiesis.

Anaplastic thyroid cancer (ATC) is a clinically aggressive malignancy with a dismal prognosis. Combined BRAF/MEK inhibition offers significant therapeutic benefit in patients with BRAF V600E -mutant ATCs. However, relapses are common and overall survival remains poor. Compared with differentiated thyroid cancer, a hallmark of ATCs is significant infiltration with myeloid cells, particularly macrophages. ATCs are most common in the aging population, which also has an increased incidence of TET2 -mutant clonal hematopoiesis (CH). CH-mutant macrophages have been shown to accelerate CH-associated pathophysiology including atherosclerosis. However, the clinical and mechanistic contribution of CH-mutant clones to solid tumour biology, prognosis and therapeutic response has not been elucidated. Here we show that TET2 -mutant CH is enriched in the tumour microenvironment of patients with solid tumours and associated with adverse prognosis in ATC patients. We find that Tet2 -mutant macrophages selectively infiltrate mouse Braf V600E -mutant ATC and that their overexpression of Tgfβ-family ligands mediates resistance to BRAF/MEK inhibition. Importantly, inhibition of Tgfβ signaling restores sensitivity to MAPK pathway inhibition, opening a path for synergistic strategies to improve outcomes of patients with ATCs and concurrent CH.

Promising and challenging phytochemicals targeting LC3 mediated autophagy signaling in cancer therapy.

Phytochemicals possess a wide range of anti-tumor properties, including the modulation of autophagy and regulation of programmed cell death. Autophagy is a critical process in cellular homeostasis and its dysregulation is associated with several pathological conditions, such as cancer, neurodegenerative diseases, and diabetes. In cancer, autophagy plays a dual role by either promoting tumor growth or suppressing it, depending on the cellular context. During autophagy, autophagosomes engulf cytoplasmic components such as proteins and organelles. LC3-II (microtubule-associated protein 1 light chain 3-II) is an established marker of autophagosome formation, making it central to autophagy monitoring in mammals. To explore the regulatory role of phytochemicals in LC3-mediated autophagy and their potential therapeutic impact on cancer. The review emphasizes the involvement of autophagy in tumor promotion and suppression, particularly focusing on autophagy-related signaling pathways like oxidative stress through the NRF2 pathway, and its implications for genomic stability in cancer development. The review focuses on a comprehensive analysis of bioactive compounds including Curcumin, Celastrol, Resveratrol, Kaempferol, Naringenin, Carvacrol, Farnesol, and Piperine. Literature on these compounds was examined to assess their influence on autophagy, LC3 expression, and tumor-related signaling pathways. A systematic literature search was conducted across databases including PubMed, Scopus, and Web of Science from inception to 2023. Studies were selected from prominent databases, focusing on their roles in cancer diagnosis and therapeutic interventions, particularly in relation to LC3-mediated mechanisms. Phytochemicals have been shown to modulate autophagy through the regulation of LC3-II levels and autophagic flux in cancer cells. The interaction between autophagy and other cellular pathways such as oxidative stress, inflammation, and epigenetic modulation highlights the complex role of autophagy in tumor biology. For instance, Curcumin and Resveratrol have been reported to either induce or inhibit autophagy depending on cancer type, influencing tumor progression and therapeutic responses. Targeting autophagy through LC3 modulation presents a promising strategy for cancer therapy. The dual role of autophagy in tumor suppression and promotion, however, necessitates careful consideration of the context in which autophagy is induced or inhibited. Future research should aim to delineate these context-specific roles and explore how phytochemicals can be optimized for therapeutic efficacy. Novel therapeutic strategies should focus on the use of bioactive compounds to fine-tune autophagy, thereby maximizing tumor suppression and inducing programmed cell death in cancer cells.

Detection and quantification of microplastics in various types of human tumor tissues

Microplastics (MPs) have been detected in various human tissues. However, whether MPs can accumulate within tumors and how they affect the tumor immune microenvironment (TIME) and therapeutic responses remains unclear. This study aimed to determine the presence of MPs in tumors and their potential effects on the TIME. Sixty-one tumor samples were collected for analysis. The presence of MPs in tumors was qualitatively and quantitatively assessed using pyrolysis-gas chromatography-mass spectrometry. MPs were detected in 26 of the samples examined. Three types of MPs were identified: polystyrene, polyvinyl chloride, and polyethylene. In lung, gastric, colorectal, and cervical tumors, the MP detection rates were 80 %, 40 %, 50 %, and 17 % (7.1–545.9 ng/g), respectively. MPs were detected in 70 % of pancreatic tumors (18.4–427.1 ng/g) but not detected in esophageal tumors. In pancreatic cancer, the MP-infiltrated TIME exhibited a reduction in CD8+ T, natural killer, and dendritic cell counts, accompanied by substantial neutrophil infiltration. This study illustrates the potential presence of MPs in diverse tumors; varying adhesive affinities were observed among different tumor types. MPs may lead to a more adverse TIME in pancreatic tumors. Further investigations are warranted to assess whether MPs promote tumor progression and affect the efficacy of immunotherapy

Cost-effective optimized method to process 3D tumoral spheroids in microwell arrays for immunohistochemistry analysis.

This study presents an improved method for obtaining spheroids microwell arrays for histological processing and analysis, focusing on glioblastoma (U87 MG) and breast adenocarcinoma (MCF-7) tumor models. By transitioning from traditional 2D cell cultures to 3D systems, this approach overcomes the limitations of 2D cultures by more accurately replicating the tumor microenvironment. The method consists of producing homotypic and heterotypic spheroids using low-adherence agarose-coated wells, embedding these spheroids in agarose microwell arrays, and conducting immunohistochemistry (IHC) to analyze cellular and molecular profiles. Morphological analyses were performed using OrganoSeg software, and IHC staining confirmed marker expressions consistent with respective tumor types. The study details the workflow from 2D cell culture to IHC analysis, including agarose well coating, spheroid embedding, and IHC staining for markers such as EMA, p53, Ki-67, ER, PR, and HER2. Results demonstrated compact, round U87 MG spheroids and fibroblast-stabilized MCF-7 spheroids, with both types exhibiting specific marker expressions. This innovative approach significantly enhances the efficiency of producing and analyzing large volumes of spheroids, making it both quick and cost-effective. It offers a robust drug screening and cancer research platform, maintaining spheroid traceability even in bulk workflow conditions. Furthermore, this methodology supports advances in personalized medicine by providing a more physiologically relevant model than 2D cultures, which is crucial for investigating tumor behavior and therapeutic responses through IHC.

Energy stress-activated AMPK phosphorylates Snail1 and suppresses its stability and oncogenic function

Triple-negative breast cancer (TNBC) is a highly lethal malignancy with limited therapy options. Aberrant metabolism, a key hallmark of human cancers, plays a crucial role in tumor progression, therapeutic responses and TNBC-related death. However, the underlying mechanisms are not fully understood. In this study, we delineate a previously unrecognized role of aberrant glucose metabolism in regulating the turnover of Snail1, which is a key transcriptional factor of epithelial-mesenchymal transition (EMT) and critically contributes to the acquisition of stemness, metastasis and chemo-resistance. Mechanistically, we demonstrate that AMP-activated protein kinase (AMPK), when activated in response to glucose deprivation, directly phosphorylates Snail1 at Ser11. Such a phosphorylation modification of Snail1 facilitates its recruitment of the E3 ligase FBXO11 and promotes its degradation, thereby suppressing stemness, metastasis and increasing cellular sensitivity to chemotherapies in vitro and in vivo. Clinically, histological analyses reveal a negative correlation between p-AMPKα and Snail1 in TNBC specimens. Taken together, our findings establish a novel mechanism and functional significance of AMPK in linking glucose status to Snail1-dependent malignancies and underscore the potential of AMPK agonists as a promising therapeutic strategy in the management of TNBC.

ScRNA-seq characterizing the heterogeneity of fibroblasts in breast cancer reveals a novel subtype SFRP4+ CAF that inhibits migration and predicts prognosis.

Cancer-associated fibroblasts (CAFs) are a diverse group of cells that significantly impact the tumor microenvironment and therapeutic responses in breast cancer (BC). Despite their importance, the comprehensive profile of CAFs in BC remains to be fully elucidated. To address this gap, we utilized single-cell RNA sequencing (scRNA-seq) to delineate the CAF landscape within 14 BC normal-tumor paired samples. We further corroborated our findings by analyzing several public datasets, thereby validating the newly identified CAF subtype. Additionally, we conducted coculture experiments with BC cells to assess the functional implications of this CAF subtype. Our scRNA-seq analysis unveiled eight distinct CAF subtypes across five tumor and six adjacent normal tissue samples. Notably, we discovered a novel subtype, designated as SFRP4+ CAFs, which was predominantly observed in normal tissues. The presence of SFRP4+ CAFs was substantiated by two independent scRNA-seq datasets and a spatial transcriptomics dataset. Functionally, SFRP4+ CAFs were found to impede BC cell migration and the epithelial-mesenchymal transition (EMT) process by secreting SFRP4, thereby modulating the WNT signaling pathway. Furthermore, we established that elevated expression levels of SFRP4+ CAF markers correlate with improved survival outcomes in BC patients, yet paradoxically, they predict a diminished response to neoadjuvant chemotherapy in cases of triple-negative breast cancer. This investigation sheds light on the heterogeneity of CAFs in BC and introduces a novel SFRP4+ CAF subtype that hinders BC cell migration. This discovery holds promise as a potential biomarker for refined prognostic assessment and therapeutic intervention in BC.

A programmed cell death-related gene signature to predict prognosis and therapeutic responses in liver hepatocellular carcinoma

BackgroundProgrammed cell death (PCD) functions critically in cancers and PCD-related genes are associated with tumor microenvironment (TME), prognosis and therapeutic responses of cancer patients. This study stratified hepatocellular carcinoma (HCC) patients and develop a prognostic model for predicting prognosis and therapeutic responses.MethodsConsensus clustering analysis was performed to subtype HCC patients in The Cancer Genome Atlas (TCGA) database. Differentially expressed genes (DEGs) among the subtypes were filtered and subjected to the least absolute shrinkage and selection operator (LASSO) regression analysis and univariate Cox regression analysis to filter prognostic genes. A PCD-related prognostic gene signature in TCGA was constructed and validated in ICGC-LIRI-JP and GSE14520 datasets. TME was analyzed using CIBERSORT, MCP-counter, TIMER and EPIC algorithms. Drug sensitivity was predicted by oncoPredict package. Spearman analysis was used to detect correlation.ResultsFour molecular subtypes were categorized based on PCD-related genes. Subtype C1 showed the poorest prognosis, the most infiltration of Fibroblasts, dentritic cell (DC) and cancer-associated fibroblasts (CAFs), and the highest TIDE score. C4 had a better prognosis survival outcome, and lowest immune cell infiltration. The survival outcomes of C2 and C3 were intermediate. Next, a total of 69 co-DEGs were screened among the four subtypes and subsequently we identified five prognostic genes (MCM2, SPP1, S100A9, MSC and EPO) for developing the prognostic model. High-risk patients not only had unfavorable prognosis, higher clinical stage and grade, and more inflammatory pathway enrichment, but also possessed higher possibility of immune escape and were more sensitive to Cisplatin and 5. Fluorouracil. The robustness of the prognostic model was validated in external datasets.ConclusionThis study provides new insights into clinical subtyping and the PCD-related prognostic signature may serve as a useful tool to predict prognosis and guide treatments for patients with HCC.

Biopterin metabolism and nitric oxide recoupling in cancer.

Tetrahydrobiopterin is a cofactor necessary for the activity of several enzymes, the most studied of which is nitric oxide synthase. The role of this cofactor-enzyme relationship in vascular biology is well established. Recently, tetrahydrobiopterin metabolism has received increasing attention in the field of cancer immunology and immunotherapy due to its involvement in the cytotoxic T cell response. Past research has demonstrated that when the availability of BH4 is low, as it is in chronic inflammatory conditions and tumors, electron transfer in the active site of nitric oxide synthase becomes uncoupled from the oxidation of arginine. This results in the production of radical species that are capable of a direct attack on tetrahydrobiopterin, further depleting its local availability. This feedforward loop may act like a molecular switch, reinforcing low tetrahydrobiopterin levels leading to altered NO signaling, restrained immune effector activity, and perpetual vascular inflammation within the tumor microenvironment. In this review, we discuss the evidence for this underappreciated mechanism in different aspects of tumor progression and therapeutic responses. Furthermore, we discuss the preclinical evidence supporting a clinical role for tetrahydrobiopterin supplementation to enhance immunotherapy and radiotherapy for solid tumors and the potential safety concerns.

Abstract IA021: Digital patient avatars predict cancer evolution and personalised therapeutic strategies

Abstract Tumour heterogeneity manifested by genetic diversity and interchangeable cell states poses considerable challenges for the design of therapeutic strategies to combat cancer. While many strategies have been proposed to address this problem, using combination treatments and sequential delivery of therapies, the scope of combinations and sequencing order of therapies is enormous and is beyond the capacity of exhaustive testing through experimental models. We therefore propose using computational models to rapidly identify effective therapeutic interventions supported by convincing mechanistic explanations. Digital cancer avatars are computational programs representing oncogenic signalling networks and mapping molecular interactions to cell phenotype, which can be interrogated in silico. These computational programs specify how molecular interactions and perturbations produce cellular responses, such as cell proliferation, cell survival or cell death, and as such are well-suited to provide novel mechanistic insights into cellular behaviours as well as to identify therapeutic strategies for targeting them. In this talk, I will demonstrate the utility of bespoke computational models for triple-negative breast cancer, non-small cell lung cancer and melanoma to study how genomic changes drive tumour evolution and therapeutic response, and how these models are used to identify personalised combination treatments to overcome resistance. I will also present an in silico method applied to these models, to screen tens of millions combinations for effective sequential treatments by mapping the evolution of a tumour in response to a single-agent treatment and determining the optimal second-line treatment that will overcome resistance. Together these studies demonstrate the utility of digital avatars to improve our understanding of the mechanisms driving tumour progression and pave the way for personalised therapeutic strategies for improved cancer patient outcomes. Citation Format: Jasmin Fisher. Digital patient avatars predict cancer evolution and personalised therapeutic strategies [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Translating Cancer Evolution and Data Science: The Next Frontier; 2023 Dec 3-6; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(3 Suppl_2):Abstract nr IA021.

Gut microbiota and its therapeutic implications in tumor microenvironment interactions.

The development of cancer is not just the growth and proliferation of a single transformed cell, but its tumor microenvironment (TME) also coevolves with it, which is primarily involved in tumor initiation, development, metastasis, and therapeutic responses. Recent years, TME has been emerged as a potential target for cancer diagnosis and treatment. However, the clinical efficacy of treatments targeting the TME, especially its specific components, remains insufficient. In parallel, the gut microbiome is an essential TME component that is crucial in cancer immunotherapy. Thus, assessing and constructing frameworks between the gut microbiota and the TME can significantly enhance the exploration of effective treatment strategies for various tumors. In this review the role of the gut microbiota in human cancers, including its function and relationship with various tumors was summarized. In addition, the interaction between the gut microbiota and the TME as well as its potential applications in cancer therapeutics was described. Furthermore, it was summarized that fecal microbiota transplantation, dietary adjustments, and synthetic biology to introduce gut microbiota-based medical technologies for cancer treatment. This review provides a comprehensive summary for uncovering the mechanism underlying the effects of the gut microbiota on the TME and lays a foundation for the development of personalized medicine in further studies.

KRAS allelic imbalance drives tumour initiation yet suppresses metastasis in colorectal cancer in vivo.

Oncogenic KRAS mutations are well-described functionally and are known to drive tumorigenesis. Recent reports describe a significant prevalence of KRAS allelic imbalances or gene dosage changes in human cancers, including loss of the wild-type allele in KRAS mutant cancers. However, the role of wild-type KRAS in tumorigenesis and therapeutic response remains elusive. We report an in vivo murine model of colorectal cancer featuring deletion of wild-type Kras in the context of oncogenic Kras. Deletion of wild-type Kras exacerbates oncogenic KRAS signalling through MAPK and thus drives tumour initiation. Absence of wild-type Kras potentiates the oncogenic effect of KRASG12D, while incidentally inducing sensitivity to inhibition of MEK1/2. Importantly, loss of the wild-type allele in aggressive models of KRASG12D-driven CRC significantly alters tumour progression, and suppresses metastasis through modulation of the immune microenvironment. This study highlights the critical role for wild-type Kras upon tumour initiation, progression and therapeutic response in Kras mutant CRC.

Nasopharyngeal carcinoma-associated inflammatory cytokines: ongoing biomarkers.

Nasopharyngeal carcinoma (NPC) is a neoplasm related to inflammation; the expression of cytokines, such as CCL3, CCL4, CCL20, IL-1α, IL-1β, IL-6, IL-8, and IL-10, among others, is presumed to be associated with NPC occurrence and development. Therefore, the circulating levels of these cytokines may be potential biomarkers for assessing tumor aggressiveness, exploring cellular interactions, and monitoring tumor therapeutic responses. Numerous scholars have comprehensively explored the putative mechanisms through which these inflammatory factors affect NPC progression and therapeutic responses. Moreover, investigations have focused on elucidating the correlation between the systemic levels of these cytokines and the incidence and prognosis of NPC. This comprehensive review aims to delineate the advancements in research concerning the relationship between inflammatory factors and NPC while considering their prospective roles as novel prognostic and predictive biomarkers in the context of NPC.

Antibacterial Fusobacterium Nucleatum-Mimicking Nanomedicine to Selectively Eliminate Tumor-colonized Bacteria And Enhance Immunotherapy Against Colorectal Cancer.

Clinical evidence has indicated that tumor-colonizing bacteria would be closely related to the tumor development and therapeutic responses. Selectively eliminating bacteria within tumors may be an attractive approach to enhance cancer treatment without additional side effects. Herein, we found that owing to the high affinity between the membrane protein Fap-2 on Fusobacterium nucleatum (F. nucleatum) and D-galactose-β (1-3)-N-acetyl-D-galactosamine (Gal-GalNAc) overexpressed on colorectal tumor cells, F. nucleatum would colonize in colorectal tumors, as evidenced by both clinical samples and animal tumor models. Notably, F. nucleatum colonized in colorectal tumors would lead to immunosuppressive tumor microenvironment, greatly reducing their responses to immune checkpoint blockade (ICB) therapy. Inspired by this finding, we designed a F. nucleatum-mimetic nanomedicine by fusing F. nucleatum cytoplasmic membrane (FM) with Colistin loaded liposomes to achieve selectively killing tumor-colonizing F. nucleatum without affecting gut microbes. As the results, the therapeutic responses of F. nucleatum-colonized tumors to ICB therapies could be successfully restored, as demonstrated in F. nucleatum-infected subcutaneous CT-26 tumor model, chemical-induced spontaneous colorectal cancer models and MC-38 tumor model. In summary, our work presented a F. nucleatum-Mimicking nanomedicine which could selectively eliminate tumor-colonized bacteria, promising for enhancing the responses of cancer immunotherapy against F. nucleatum-colonized colorectal cancer. This article is protected by copyright. All rights reserved.

Overexpression of CD99 is associated with tumor adaptiveness and indicates the tumor recurrence and therapeutic responses in gliomas

Glioma undergoes adaptive changes, leading to poor prognosis and resistance to treatment. CD99 influences the migration and invasion of glioma cells and plays an oncogene role. However, whether CD99 can affect the adaptiveness of gliomas is still lacking in research, making its clinical value underestimated. Here, we enrolled our in-house and public multiomics datasets for bioinformatic analysis and conducted immunohistochemistry staining to investigate the role of CD99 in glioma adaptive response and its clinical implications.CD99 is expressed in more adaptative glioma subtypes and cell states. Under hypoxic conditions, CD99 is upregulated in glioma cells and is associated with angiogenesis and metabolic adaptations. Gliomas with over-expressed CD99 also increased the immunosuppressive tumor-associated macrophages. The relevance with tumor adaptiveness of CD99 presented clinical significance. We discovered that CD99 overexpression is associated with short-time recurrence and validated its prognostic value. Additionally, Glioma patients with high expression of CD99 were resistant to chemotherapy and radiotherapy. The CD99 expression was also related to anti-angiogenic and immune checkpoint inhibitor therapy response. Inhibitors of the PI3K-AKT pathway have therapeutic potential against CD99-overexpressing gliomas.Our study identified CD99 as a biomarker characterizing the adaptive response in glioma. Gliomas with high CD99 expression are highly tolerant to stress conditions such as hypoxia and antitumor immunity, making treatment responses dimmer and tumor progression. Therefore, for patients with CD99-overexpressing gliomas, tumor adaptiveness should be fully considered during treatment to avoid drug resistance, and closer clinical monitoring should be carried out to improve the prognosis.