Tumor Growth Rate Research Articles

Association of tumor growth rate with overall survival and recurrence among patients with laryngeal squamous cell carcinoma.

Delay in time to treatment initiation (TTI) is associated with worsened survival outcomes in laryngeal squamous cell carcinoma (LSCC). It is unclear whether this is due to tumor growth or an increased risk of metastatic disease. This retrospective cohort study at one academic center included patients with LSCC who underwent radiotherapy/chemoradiotherapy between 2005 and 2017. We examined the association between tumor growth rate (TGR) and survival outcomes. Among 105 patients (mean age, 63.8 ± 11.1 years; 72% male), the threshold between "slow-growing" and "fast-growing" tumors was >0.036 mL/day (survival) and >0.082 mL/day (recurrence). Faster growth was associated with worse overall survival (OS) (hazard ratio, 1.97; 95% confidence interval [CI], 0.94-4.13) and increased recurrence (odds ratio, 9.10; 95% CI, 2.40-34.4). TGR >0.036 mL/day during TTI was associated with decreased OS, and >0.082 mL/day was associated with increased recurrence. Tumor measurement in patients experiencing delay may identify those who could benefit from escalated therapy.

Parthenolide enhances the metronomic chemotherapy effect of cyclophosphamide in lung cancer by inhibiting the NF-kB signaling pathway.

Parthenolide (PTL), a sesquiterpene lactone derived from the medicinal herb Chrysanthemum parthenium, exhibits various biological effects by targeting NF-kB, STAT3, and other pathways. It has emerged as a promising adjunct therapy for multiple malignancies. To evaluate the in vitro and in vivo effect of PTL on cyclophosphamide (CTX) metronomic chemotherapy. The cytotoxicity of PTL and CTX on Lewis lung cancer cells (LLC cells) was assessed by measuring cell activity and apoptosis. The anti-tumor efficiency was evaluated using a tumor xenograft mice model, and the survival of mice and tumor volume were monitored. Additionally, the collected tumor tissues were analyzed for tumor microenvironment indicators and inflammatory factors. In vitro, PTL demonstrated a synergistic effect with CTX in inhibiting the growth of LLC cells and promoting apoptosis. In vivo, metronomic chemotherapy combined with PTL and CTX improved the survival rate of tumor-bearing mice and reduced tumor growth rate. Furthermore, metronomic chemotherapy combined with PTL and CTX reduced NF-κB activation and improved the tumor immune microenvironment by decreasing tumor angiogenesis, reducing Transforming growth factor β, and α-SMA positive cells. PTL is an efficient compound that enhances the metronomic chemotherapy effects of CTX both in vitro and in vivo, suggesting its potential as a supplementary therapeutic strategy in metronomic chemotherapy to improve the chemotherapy effects.

Curcumin synergistically enhances the efficacy of gemcitabine against gemcitabine-resistant cholangiocarcinoma via the targeting LAT2/glutamine pathway

Cholangiocarcinoma (CCA) is often diagnosed late, leading to incomplete tumor removal, drug resistance and reduced chemotherapy efficacy. Curcumin has the potential for anti-cancer activity through various therapeutic properties and can improve the efficacy of chemotherapy. We aimed to investigate the synergistic effect of a combination of curcumin and gemcitabine against CCA, targeting the LAT2/glutamine pathway. This combination synergistically suppressed proliferation in gemcitabine-resistant CCA cells (KKU-213BGemR). It also resulted in a remarkable degree of CCA cell apoptosis and cell cycle arrest, characterized by a high proportion of cells in the S and G2/M phases. Knockdown of SLC7A8 decreased the expressions of glutaminase and glutamine synthetase, resulting in inhibited cell proliferation and sensitized CCA cells to gemcitabine treatment. Moreover, in vivo experiments showed that a combination curcumin and gemcitabine significantly reduced tumor size, tumor growth rate and LAT2 expression in a gemcitabine-resistant CCA xenograft mouse model. Suppression of tumor progression in an orthotopic CCA hamster model provided strong support for clinical application. In conclusion, curcumin synergistically enhances gemcitabine efficacy against gemcitabine-resistant CCA by induction of apoptosis, partly via inhibiting LAT2/glutamine pathway. This approach may be an alternative strategy for the treatment of gemcitabine-resistant in CCA patients.

The Clinical Utility of the NETest in Patients with Small Intestinal Neuroendocrine Neoplasms (Si-NENs): A "Real-Life" Study.

Current biomarkers do not adequately predict the behaviour of neuroendocrine neoplasms (NENs). This study assessed the NETest, a multianalyte blood biomarker, in patients with small intestinal NENs (Si-NENs). We studied two patient groups: Group 1: metastatic Si-NENs (n = 102) and Group 2: post-operatively disease-free according to 68Ga-DOTATATE PET (n = 16). NETest scores were ≤20% (normal), 21-40% (low), 41-79% (intermediate), or ≥80% (high). Overall survival (OS) and progression-free survival (PFS) were assessed using the Kaplan-Meier method. Univariate and multivariate analyses were performed using the Cox proportional hazards model. In Group 1, the median NETest score was 40% (IQR: 33.3-46.7%). The NETest value (HR: 1.032, 95% CI: 1.003-1.062, p = 0.033) and high-risk NETest category (HR: 10.5, 95% CI: 1.35-81.7, p = 0.025) were independent predictors of PFS, along with presence of lung metastases, CgA levels > 10 × ULN, and tumour growth rate (TGR). Independent predictors of OS were the NETest value (HR: 1.035, 95% CI: 1.005-1.066, p = 0.024) and high-risk NETest category (HR: 15.2, 95% CI: 1.52-151, p = 0.02), along with presence of lung metastases and CgA levels > 10 × ULN. In Group 2, ROC analysis identified an AUC of 0.909 (95% CI: 0.75-0.100) for prediction of local or metastatic recurrence. Blood NETest scores were associated with PFS and OS in patients with metastatic Si-NENs, along with TGR, CgA > 10 × ULN, and presence of lung metastases.

Optic nerve and chiasm hemangioblastomas in von Hippel-Lindau disease: report of 12 cases and review of the literature.

Optic nerve and chiasm hemangioblastomas are rare tumors, occurring sporadically or in the context of von Hippel-Lindau (VHL) disease. They have only been portrayed in isolated case reports and small cohorts. Their natural history and therapeutic strategies are only scarcely described. To better characterize these rare tumors, we retrospectively analyzed an optic nerve and chiasm hemangioblastoma series of 12 VHL patients. By combining our own experience to a review of all known cases in literature, we intended to create treatment recommendations for optic nerve and chiasm hemangioblastomas in VHL patients. We reviewed two electronic databases in the hospitals of our senior authors, searching for VHL patients with optic nerve or chiasm hemangioblastomas. Clinical data were summarized. Tumor size and growth rate were measured on contrast enhanced MRI. Comparable data were collected by literature review of all available cases in VHL patients (Pubmed, Trip, Google and Google Scholar). Of 269 VHL patients, 12 had optic nerve or chiasm hemangioblastomas. In 10 of 12 patients, tumors were diagnosed upon annual ophthalmoscopic/MRI screening. Of 8 patients who were asymptomatic at diagnosis, 7 showed absent or very slow annual progression, without developing significant vision impairment. One patient developed moderate vision impairment. Two symptomatic patients suffered from rapid tumor growth and progressive vision impairment. Both underwent late-stage surgery, resulting in incomplete resection and progressive vision impairment. One patient presented with acute vision field loss. A watchful-waiting approach was adopted because the hemangioblastoma was ineligible for vision-sparing surgery. One patient developed progressive vision impairment after watchful waiting. In the literature we found 45 patient cases with 48 hemangioblastomas. When optic nerve and chiasm hemangioblastomas are diagnosed, we suggest annual MRI follow-up as long as patients do not develop vision impairment. If tumors grow fast, threaten the contralateral eye, or if patients develop progressive vision deficiency; surgical resection must be considered because neurological impairment is irreversible, and resection of large tumors carries a higher risk of further visual decline.

Cylindrical TGR as early radiological predictor of RLT progression in GEPNETs: a proof of concept

This study aims to assess the predictive capability of cylindrical Tumor Growth Rate (cTGR) in the prediction of early progression of well-differentiated gastro-entero-pancreatic tumours after Radio Ligand Therapy (RLT), compared to the conventional TGR. Fifty-eight patients were included and three CT scans per patient were collected at baseline, during RLT, and follow-up. RLT response, evaluated at follow-up according to RECIST 1.1, was calculated as a percentage variation of lesion diameters over time (continuous values) and as four different RECIST classes. TGR between baseline and interim CT was computed using both conventional (approximating lesion volume to a sphere) and cylindrical (called cTGR, approximating lesion volume to an elliptical cylinder) formulations. Receiver Operating Characteristic (ROC) curves were employed for Progressive Disease class prediction, revealing that cTGR outperformed conventional TGR (area under the ROC equal to 1.00 and 0.92, respectively). Multivariate analysis confirmed the superiority of cTGR in predicting continuous RLT response, with a higher coefficient for cTGR (1.56) compared to the conventional one (1.45). This study serves as a proof of concept, paving the way for future clinical trials to incorporate cTGR as a valuable tool for assessing RLT response.

Role of molecular genetic factors in formation of the clinical type of neurofibromatosis type 2

Neurofibromatosis type 2 is a hereditary disease with predisposition to the development of multiple tumors of the central and peripheral nervous system. The disease is characterized by significant variability in the clinical picture; the number of neoplasms, their location and growth rate largely determine the severity of the course. However, assessing the rate of tumor growth requires the availability of a consistent series of instrumental studies conducted within a certain time range, which is not always available at the time of initial treatment. In this study, based on quantitative (age of onset, age of examination) and qualitative (large number of intracranial tumors, large number of spinal tumors, severity of neurological symptoms, mosaic status of the genetic variant) characteristics, an alternative classification of clinical subtypes of neurofibromatosis type 2 was developed. We have revealed statistically significant differences (p-value = 0.037) in the representation of Halliday prognostic classes between the groups identified using the proposed classification which allows us to suggest the possibility of integrating this approach into clinical practice.

Ultrasound -Induced Thermal Effect Enhances the Efficacy of Chemotherapy and Immunotherapy in Tumor Treatment.

The inadequate perfusion, frequently resulting from abnormal vascular configuration, gives rise to tumor hypoxia. The presence of this condition hinders the effective delivery of therapeutic drugs and the infiltration of immune cells into the tumor, thereby compromising the efficacy of treatments against tumors. The objective of this study is to exploit the thermal effect of ultrasound (US) in order to induce localized temperature elevation within the tumor, thereby facilitating vasodilation, augmenting drug delivery, and enhancing immune cell infiltration. The selection of US parameters was based on intratumor temperature elevation and their impact on cell viability. Vasodilation and hypoxia improvement were investigated using enzyme-linked immunosorbent assay (ELISA) and immunofluorescence examination. The distribution and accumulation of commercial pegylated liposomal doxorubicin (PLD) and PD-L1 antibody (anti-PD-L1) in the tumor were analyzed through frozen section analysis, ELISA, and in vivo fluorescence imaging. The evaluation of tumor immune microenvironment was conducted using flow cytometry (FCM). The efficacy of US-enhanced chemotherapy in combination with immunotherapy was investigated by monitoring tumor growth and survival rate after various treatments. The US irradiation condition of 0.8 W/cm2 for 10 min effectively elevated the tumor temperature to approximately 40 °C without causing any cellular or tissue damage, and sufficiently induced vasodilation, thereby enhancing the distribution and delivery of PLD and anti-PD-L1 in US-treated tumors. Moreover, it effectively mitigated tumor hypoxia while significantly increasing M1-phenotype tumor-associated macrophages (TAMs) and CD8+ T cells, as well as decreasing M2-phenotype TAMs. By incorporating US irradiation, the therapeutic efficacy of PLD and anti-PD-L1 was substantially boosted, leading to effective suppression of tumor growth and prolonged survival in mice. The application of US (0.8 W/cm2 for 10 min) can effectively induce vasodilation and enhance the delivery of PLD and anti-PD-L1 into tumors, thereby reshaping the immunosuppressive tumor microenvironment and optimizing therapeutic outcomes.

Clinical Validation of Mathematically Derived Early Tumor Dynamics for Solid Tumors in Response to Durvalumab.

Early prediction of response to immunotherapy may help guide patient management by identifying resistance to treatment and allowing adaptation of therapies. This analysis evaluated a mathematical model of response to immunotherapy that provides patient-specific prediction of outcome using the initial change in tumor size/burden from baseline to the first follow-up visit on standard imaging scans. We applied the model to 600 patients with advanced solid tumors who received durvalumab in Study 1108, a phase I/II trial, and compared outcome prediction performance versus size-based criteria with RECIST version 1.1 best overall response (BOR), baseline circulating tumor (ct)DNA level, and other clinical/pathologic predictors of immunotherapy response. In multiple solid tumors, the mathematical parameter representing net tumor growth rate at the first on-treatment computed tomography (CT) scan assessed around 6 weeks after starting durvalumab (α1) had a concordance index to predict overall survival (OS) of 0.66-0.77 on multivariate analyses. This measurement of early tumor dynamics significantly improved multivariate OS models that included standard RECIST v1.1 criteria, baseline ctDNA levels, and other clinical/pathologic factors in predicting OS. Furthermore, α1 was assessed consistently at the first on-treatment CT scan, whereas all traditional RECIST BOR groups were confirmed only after this time. These results support further exploring α1 as an integral biomarker of response to immunotherapy. This biomarker may be predictive of further benefit and can be assessed before RECIST response groups can be assigned, potentially providing an opportunity to personalize oncologic management.

ISG15 promotes tumor progression via IL6/JAK2/STAT3 signaling pathway in ccRCC

Although renal cell carcinoma (RCC) is a prevalent type of cancer, the most common pathological subtype, clear cell renal cell carcinoma (ccRCC), still has poorly understood molecular mechanisms of progression. Moreover, interferon-stimulated gene 15 (ISG15) is associated with various types of cancer; however, its biological role in ccRCC remains unclear.This study aimed to explore the role of ISG15 in ccRCC progression.ISG15 expression was upregulated in ccRCC and associated with poor prognosis. RNA sequence analysis and subsequent experiments indicated that ISG15 modulated IL6/JAK2/STAT3 signaling to promote ccRCC proliferation, migration, and invasion. Additionally, our animal experiments confirmed that sustained ISG15 knockdown reduced tumor growth rate in nude mice and promoted cell apoptosis. ISG15 modulates the IL6/JAK2/STAT3 pathway, making it a potential therapeutic target and prognostic biomarker for ccRCC.

Quantitative characterization of the effects of fulvestrant alone or in combination with taselisib (PI3Kinase inhibitor) on longitudinal tumor growth in patients with estrogen receptor-positive, HER2-negative, PIK3CA-mutant, advanced or metastatic breast cancer.

Among cases of breast cancer, estrogen receptor-positive (ER +), PIK3CA-mutant, HER2- advanced breast cancer stands as a particularly complex clinical indication where approximately 40% of ER + /HER2- breast carcinomas present mutations in the PIK3CA gene. A significant hurdle in treating ER + breast cancer lies in surmounting the challenges of endocrine resistance. In the clinical setting, a multifaceted approach is essential for this indication, one that not only explores the effectiveness of individual treatments but also delves into the potential gains in therapeutic outcome from combination therapies. In the current study, longitudinal tumor growth inhibition (TGI) models were developed to characterize tumor response over time in postmenopausal women with ER + /HER2- advanced or metastatic breast cancer undergoing treatment with fulvestrant alone or in combination with the PI3K inhibitor, taselisib. Impact of clinically relevant covariates on TGI metrics was assessed to identify patient subsets most likely to benefit from treatment with fulvestrant monotherapy or combination with taselisib. Tumor growth rate constant (Kg) was found to increase with increasing baseline tumor size and in the absence of baseline endocrine sensitivity. Further, Kg decreased in the absence of baseline liver metastases both in fulvestrant monotherapy and combination therapy with taselisib. Overall, additive/potentially synergistic anti-tumor effects were observed in patients treated with the taselisib-fulvestrant combination. These results have important implications for understanding the therapeutic impact of combination treatment approaches and individualized responses to these treatments. Finally, this work, emphasizes the importance of model informed drug development for targeted cancer therapy. NCT02340221 Registered January 16, 2015, NCT01296555 Registered February 14, 2011.

Pan-Cancer, Genome-Scale Metabolic Network Analysis of over 10,000 Patients Elucidates Relationship between Metabolism and Survival.

Despite the high variability in cancer biology, cancers nevertheless exhibit cohesive hallmarks across multiple cancer types, notably dysregulated metabolism. Metabolism plays a central role in cancer biology, and shifts in metabolic pathways have been linked to tumor aggressiveness and likelihood of response to therapy. We therefore sought to interrogate metabolism across cancer types and understand how intrinsic modes of metabolism vary within and across indications and how they relate to patient prognosis. We used context specific genome-scale metabolic modeling to simulate metabolism across 10,915 patients from 34 cancer types from The Cancer Genome Atlas and the MMRF-COMMPASS study. We found that cancer metabolism clustered into modes characterized by differential glycolysis, oxidative phosphorylation, and growth rate. We also found that the simulated activities of metabolic pathways are intrinsically prognostic across cancer types, especially tumor growth rate, fatty acid biosynthesis, folate metabolism, oxidative phosphorylation, steroid metabolism, and glutathione metabolism. This work shows the prognostic power of individual patient metabolic modeling across multiple cancer types. Additionally, it shows that analyzing large-scale models of cancer metabolism with survival information provides unique insights into underlying relationships across cancer types and suggests how therapies designed for one cancer type may be repurposed for use in others.

LGG-01. PROGNOSTIC UTILITY AND CHARACTERISTICS OF MIB-1 LABELING INDEX AS A PROLIFERATIVE ACTIVITY MARKER IN CHILDHOOD LOW-GRADE GLIOMA: A RETROSPECTIVE OBSERVATIONAL STUDY

Abstract BACKGROUND The prognostic utility of MIB-1 labeling index (LI) in pediatric low-grade glioma (PLGG) has not yet conclusively been described. We assess the correlation of MIB-1 LI and tumor growth velocity, aiming to contribute to the understanding of clinical implications and the predictive value of MIB-1 LI as an indicator of proliferative activity and progression-free survival (PFS) in pediatric low-grade glioma. METHODS MIB-1 LI of a cohort of 172 pediatric low-grade gliomas were comprehensively characterized. Correlation to tumor growth velocity, assessed by sequential MRI-based three-dimensional volumetric analyses, and PFS was analyzed. RESULTS Mean MIB-1 LI accounted for 2.7 % (range: <1 – 10) and showed a significant decrease to 1.5 % at secondary surgery (p =.0013). A significant difference of MIB-1 LI in different histopathological types and a correlation to tumor volume at diagnosis could be shown. Linear regression analysis showed a correlation between MIB-1 LI and preoperative TGV (R² =.55, p <.0001), while correlation to tumor growth velocity remarkably decreased after incomplete resection (R² =.08, p =.013). Log-rank test showed no impact of MIB-1 LI on 5-year PFS after incomplete (MIB-1 LI > 1 vs ≤ 1%: 48 vs 46 %, p =.73) and gross-total resection (MIB-1 LI > 1 vs ≤ 1%: 89 vs 95 %, p =.75). CONCLUSIONS This data confirms a correlation of MIB-1 LI and radiologically detectable tumor growth velocity in PLGG for the first time. Compared to preoperative tumor growth rates, a crucially decreasing correlation of MIB-1 LI and tumor growth velocity after surgery may result in limited prognostic capability of MIB-1 LI in pediatric low-grade glioma.

A Role of Effector CD T Cells Against Circulating Tumor Cells Cloaked with Platelets: Insights from a Mathematical Model.

Cancer metastasis accounts for a majority of cancer-related deaths worldwide. Metastasis occurs when the primary tumor sheds cells into the blood and lymphatic circulation, thereby becoming circulating tumor cells (CTCs) that transverse through the circulatory system, extravasate the circulation and establish a secondary distant tumor. Accumulating evidence suggests that circulating effector CD T cells are able to recognize and attack arrested or extravasating CTCs, but this important antitumoral effect remains largely undefined. Recent studies highlighted the supporting role of activated platelets in CTCs's extravasation from the bloodstream, contributing to metastatic progression. In this work, a simple mathematical model describes how the primary tumor, CTCs, activated platelets and effector CD T cells participate in metastasis. The stability analysis reveals that for early dissemination of CTCs, effector CD T cells can present or keep secondary metastatic tumor burden at low equilibrium state. In contrast, for late dissemination of CTCs, effector CD T cells are unlikely to inhibit secondary tumor growth. Moreover, global sensitivity analysis demonstrates that the rate of the primary tumor growth, intravascular CTC proliferation, as well as the CD T cell proliferation, strongly affects the number of the secondary tumor cells. Additionally, model simulations indicate that an increase in CTC proliferation greatly contributes to tumor metastasis. Our simulations further illustrate that the higher the number of activated platelets on CTCs, the higher the probability of secondary tumor establishment. Intriguingly, from a mathematical immunology perspective, our simulations indicate that if the rate of effector CD T cell proliferation is high, then the secondary tumor formation can be considerably delayed, providing a window for adjuvant tumor control strategies. Collectively, our results suggest that the earlier the effector CD T cell response is enhanced the higher is the probability of preventing or delaying secondary tumor metastases.

Repositioning of antiarrhythmics for prostate cancer treatment: a novel strategy to reprogram cancer-associated fibroblasts towards a tumor-suppressive phenotype

BackgroundCancer-associated fibroblasts (CAFs) play a significant role in fueling prostate cancer (PCa) progression by interacting with tumor cells. A previous gene expression analysis revealed that CAFs up-regulate genes coding for voltage-gated cation channels, as compared to normal prostate fibroblasts (NPFs). In this study, we explored the impact of antiarrhythmic drugs, known cation channel inhibitors, on the activated state of CAFs and their interaction with PCa cells.MethodsThe effect of antiarrhythmic treatment on CAF activated phenotype was assessed in terms of cell morphology and fibroblast activation markers. CAF contractility and migration were evaluated by 3D gel collagen contraction and scratch assays, respectively. The ability of antiarrhythmics to impair CAF-PCa cell interplay was investigated in CAF-PCa cell co-cultures by assessing tumor cell growth and expression of epithelial-to-mesenchymal transition (EMT) markers. The effect on in vivo tumor growth was assessed by subcutaneously injecting PCa cells in SCID mice and intratumorally administering the medium of antiarrhythmic-treated CAFs or in co-injection experiments, where antiarrhythmic-treated CAFs were co-injected with PCa cells.ResultsActivated fibroblasts show increased membrane conductance for potassium, sodium and calcium, consistently with the mRNA and protein content analysis. Antiarrhythmics modulate the expression of fibroblast activation markers. Although to a variable extent, these drugs also reduce CAF motility and hinder their ability to remodel the extracellular matrix, for example by reducing MMP-2 release. Furthermore, conditioned medium and co-culture experiments showed that antiarrhythmics can, at least in part, reverse the protumor effects exerted by CAFs on PCa cell growth and plasticity, both in androgen-sensitive and castration-resistant cell lines. Consistently, the transcriptome of antiarrhythmic-treated CAFs resembles that of tumor-suppressive NPFs. In vivo experiments confirmed that the conditioned medium or the direct coinjection of antiarrhythmic-treated CAFs reduced the tumor growth rate of PCa xenografts.ConclusionsCollectively, such data suggest a new therapeutic strategy for PCa based on the repositioning of antiarrhythmic drugs with the aim of normalizing CAF phenotype and creating a less permissive tumor microenvironment.

DAPM-CDR: A domain adaptation prompting model for drug response prediction

The rising incidence and mortality rates of cancer present significant challenges to global health. Variations in tumor growth rates and treatment responses have revealed the limitations of traditional therapies, highlighting the urgent need for predictive models for cancer drug responses based on computational methods. Current drug response prediction methods often fall short in accurately predicting responses for rare cancers with limited data. To address these issues, we propose a domain adaptation prompting model for drug response prediction, DAPM-CDR. DAPM-CDR is trained with cancer types with rich response data of cancer cell lines, integrating both common and specific information into prompts through contrastive learning, to transfer knowledge to target tasks that with sparse data on cancer cell line responses, thereby enhancing the generalization capabilities across various cancer types. The experiment results demonstrate that DAPM-CDR outperforms several competitive methods in predicting drug responses of cell lines, particularly excelling with data from rare cancers and showing significant performance enhancements.

Growth inhibition of subcutaneous tumor with glioma cells in nude mice by silencing TLR4.

This study investigated the regulatory impact of Toll-like receptor 4 (TLR4) gene on glioma cell proliferation and apoptosis, elucidating the molecular mechanisms underlying TLR4-induced growth inhibition in vivo. U-87MG-Sh and U-87MG-NC cells, with silenced TLR4 and negative control plasmid respectively, were established. Eighteen nude mice, divided into transfection, negative control, and blank control groups, were inoculated with corresponding cells. Over four weeks, the transfection group exhibited significantly reduced tumor growth rates, smaller mass and volume, and lower growth activity compared to controls. Histological analysis revealed sparse tumor cells, increased fibrous connective tissue, and slower angiogenesis in the transfection group. Flow cytometry demonstrated a lower proliferation index and increased G0/1 cell count in the transfection group. mRNA levels of TLR4, NF-κB, and CyclinD1 were significantly lower in the transfection group. TLR4 silencing correlated with U-87MG cell proliferation regulation, growth inhibition, NF-κB and CyclinD1 modulation, and induction of cell cycle arrest and apoptosis. These findings suggest TLR4 as a potential gene therapy target for glioma.

USP47 deficiency in mice modulates tumor infiltrating immune cells and enhances antitumor immune responses in prostate cancer

This study investigates the role of USP47, a deubiquitinating enzyme, in the tumor microenvironment and its impact on antitumor immune responses. Analysis of TCGA database revealed distinct expression patterns of USP47 in various tumor tissues and normal tissues. Prostate adenocarcinoma showed significant downregulation of USP47 compared to normal tissue. Correlation analysis demonstrated a positive association between USP47 expression levels and infiltrating CD8+ T cells, neutrophils, and macrophages, while showing a negative correlation with NKT cells. Furthermore, using Usp47 knockout mice, we observed a slower tumor growth rate and reduced tumor burden. The absence of USP47 led to increased infiltration of immune cells, including neutrophils, macrophages, NK cells, NKT cells, and T cells. Additionally, USP47 deficiency resulted in enhanced activation of cytotoxic T lymphocytes (CTLs) and altered T cell subsets within the tumor microenvironment. These findings suggest that USP47 plays a critical role in modulating the tumor microenvironment and promoting antitumor immune responses, highlighting its potential as a therapeutic target in prostate cancer.

Epigenetic silencing of LDHB to promote hepatocellular carcinoma by remodeling the tumor microenvironment.

e16220 Background: Hepatocellular carcinoma (HCC) is a deadly disease with limited therapeutic options. Low expression of the LDHB has been associated with poor prognosis of HCC patients, but the role and underlying mechanism remains unclear. Methods: The HCC dada from The Cancer Genome Atlas (TCGA) and GEO were obtained to analyze the LDHB expression and DNA methylation levels. Next, the correlation between LDHB and Hallmark gene sets was analyzed by GO and KEGG. RNA-seq, Western blotting, Immunohistochemistry, and Bisulfite DNA sequencing were performed to explore the relationship between DNA methylation and LDHB expression. CCK8 and colony formation assay were used to evaluate the effect of overexpression of LDHB on the proliferation of hepatocellular carcinoma cells in vitro. Finally, the role of LDHB in HCC tumor immunity was assessed in multiple mouse models in vivo. Results: Here, we found that down-regulation of LDHB was coupled with the promoter hypermethylation and knocking down the DNMT 3A restored LDHB expression levels in HCC cell lines. Bioinformatics analysis of the HCC cohort from The Cancer Genome Atlas revealed a significant positive correlation between LDHB expression and immune regulatory signaling pathways and immune cell infiltrations. Notably, HCC patients with high LDHB expression responded better to immune checkpoint inhibitors. Finally, we demonstrated that there was no difference in the tumor growth rate between the LDHB-expressing tumors and the control tumors in immunodeficient BALB/c nude mice. However, the LDHB-expressing tumors were significantly inhibited in immunocompetent C57BL/6 mice, suggesting that the host immune system was involved in the LDHB-medicated tumor suppression. Moreover, as compared with the LDHB+/+ mice, LDHB-/- mice showed promoted tumor growth in an NRAS/shp53 plasmid-induced primary liver tumor model. Conclusions: Overall, our findings indicate that DNMT3A-mediated epigenetic silencing of LDHB may contribute to HCC progression through remodeling the tumor immune microenvironment, and LDHB may become a potential prognostic biomarker and target for HCC immunotherapy.

Tumor growth and overall survival modeling to support decision making in phase Ib/II trials: A comparison of the joint and two-stage approaches.

Model-based tumor growth inhibition (TGI) metrics are increasingly used to predict overall survival (OS) data in Phase III immunotherapy clinical trials. However, there is still a lack of understanding regarding the differences between two-stage or joint modeling methods to leverage Phase I/II trial data and help early decision-making. A recent study showed that TGI metrics such as the tumor growth rate constant KG may have good operating characteristics as early endpoints. This previous study used a two-stage approach that is easy to implement and intuitive but prone to bias as it does not account for the relationship between the longitudinal and time-to-event processes. A relevant alternative is to use a joint modeling approach. In the present article, we evaluated the operating characteristics of TGI metrics using joint modeling, assuming an OS model previously developed using historical data. To that end, we used TGI and OS data from IMpower150-a study investigating atezolizumab in over 750 patients suffering from non-small cell lung cancer-to mimic randomized Phase Ib/II trials varying in terms of number of patients included (40 to 15 patients per arm) and follow-up duration (24 to 6 weeks after the last patient included). In this context, joint modeling did not outperform the two-stage approach and provided similar operating characteristics in all the investigated scenarios. Our results suggest that KG geometric mean ratio could be used to support early decision-making provided that 30 or more patients per arm are included and followed for at least 12 weeks.