Tumor Growth Rate Research Articles

Post-operative complications affect survival in surgically treated metastatic spinal cord compression.

The prevalence of metastatic epidural spinal cord compression (MESCC) is increasing globally due to advancements in cancer diagnosis and treatment. Whilst surgery can benefit specific patients, the complication rate can reach up to 34%, with limited reporting on their impact in the literature. This study aims to analyse the influence of major complications on the survival of surgically treated MESCC patients. Consecutive MESCC patients undergoing surgery and meeting inclusion criteria were selected. Survival duration from decompressive surgery to death was recorded. Perioperative factors influencing survival were documented and analysed. Kaplan-Meier survival analysis at oneyear compared these factors. Univariate and multivariate Cox proportional hazard regression analyses were performed. Additionally, univariate analysis compared complicated and uncomplicated groups. Seventy-five patients were analysed. Median survival for this cohort was 229days (95% CI 174-365). Surgical complications, low patient performance, and rapid primary tumour growth were significant perioperative variablesfor survival in multivariate analyses (p < 0.001, p = 0.003, and p = 0.02, respectively) with a hazard ratio of 3.2, 3.6, and 2.1, respectively. Univariate analysis showed no variables associated with complication occurrence. In this cohort, major surgical complications, patient performance, and primary tumour growth rate were found to be independent factors affecting oneyear survival. Thus, prioritizing complication prevention and appropriate patient selection is crucial for optimizing survival in this population.

Mammalian enabled protein enhances tamoxifen sensitivity of the hormone receptor-positive breast cancer patients by suppressing the AKT signaling pathway

BackgroundMammalian enabled (MENA) protein is a member of the enabled/vasodilator stimulated phosphoprotein (Ena/VASP) protein family, which regulates cytoplasmic actin network assembly. It plays a significant role in breast cancer invasion, migration, and resistance against targeted therapy and chemotherapy. However, its role in the efficacy of endocrine therapy for the hormone receptor-positive (HR+) breast cancer patients is not known. This study investigated the role of MENA in the resistance against tamoxifen therapy in patients with HR+ breast cancer and the underlying mechanisms.MethodsMENA expression levels in the clinical HR+ breast cancer samples (n = 119) were estimated using immunohistochemistry (IHC) to determine its association with the clinicopathological features, tamoxifen resistance, and survival outcomes. Western blotting (WB) and quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) analysis was performed to estimate the MENA protein and mRNA levels in the tamoxifen-sensitive and -resistant HR+ breast cancer cell lines. Furthermore, CCK8, colony formation, and the transwell invasion and migration assays were used to analyze the effects of MENA knockdown on the biological behavior and tamoxifen sensitivity of the HR+ breast cancer cell lines. Xenograft tumor experiments were performed in the nude mice to determine the tumor growth rates and tamoxifen sensitivity of the control and MENA knockdown HR+ breast cancer cells in the presence and absence of tamoxifen treatment. Furthermore, we estimated the growth rates of organoids derived from the HR+ breast cancer patients (n = 10) with high and low MENA expression levels when treated with tamoxifen.ResultsHR+ breast cancer patients with low MENA expression demonstrated tamoxifen resistance and poorer prognosis compared to those with high MENA expression. Univariate and multivariate Cox regression analysis demonstrated that MENA expression was an independent predictor of tamoxifen resistance in patients with HR+ breast cancer. MENA knockdown HR+ breast cancer cells showed significantly reduced tamoxifen sensitivity in the in vitro experiments and the in vivo xenograft tumor mouse model compared with the corresponding controls. Furthermore, MENA knockdown increased the in vitro invasion and migration of the HR+ breast cancer cells. HR+ breast cancer organoids with low MENA expression demonstrated reduced tamoxifen sensitivity than those with higher MENA expression. Mechanistically, P-AKT levels were significantly upregulated in the MENA-knockdown HR + breast cancer cells treated with or without 4-OHT compared with the corresponding controls.ConclusionsThis study demonstrated that downregulation of MENA promoted tamoxifen resistance in the HR+ breast cancer tissues and cells by enhancing the AKT signaling pathway. Therefore, MENA is a promising prediction biomarker for determining tamoxifen sensitivity in patients with HR+ breast cancer.

Peptide radionuclide radiation therapy with Lutathera in multirecurrent nonanaplastic meningiomas: antitumoral activity study by growth rate analysis.

Several retrospective studies and meta-analyses of Peptide Radionuclide Radiation Therapy in meningiomas suggest six-month progression-free survival improvement for WHO grade 1 and 2 meningiomas. In the present study, we aimed to evaluate the impact of such treatment on three-dimensional volume growth rate (3DVGR) in nonanaplastic meningiomas. The authors performed a retrospective study including eight patients treated with Lutathera®. Millimetric 3D T1-weighted with gadolinium enhancement magnetic resonance imaging sequences were requested for volume measurement. Then, tumor growth rate was classified following a previously described 3DVGR classification (Graillon et al.). Patients harbored seven WHO grade 2 meningiomas and one aggressive WHO grade 1. All patients, except one, underwent four treatment cycles. 3DVGR significantly decreased at 3, 6, and 12 months after treatment initiation analyzing each lesion separately. Mean and median 3DVGR from all patients were respectively at 29.5% and 44.5%/6 months before treatment initiation, then at 16.5% and 25%/6 months at three months post-treatment initiation, 9.5% and 4.5%/6 months after 6 months, as well as 9.5% and 10.5%/6 months after 12 months. At 3, 6, and 12 months after treatment initiation, 4/8, 6/7, and 5/6 patients were class 2 (stabilization or severe 3DVGR slowdown), respectively. No patient was class 1 at 6 and 12 months, suggesting a lack of drug response. In nonanaplastic meningiomas, Lutathera®'s antitumoral activity appeared delayed and more likely observed at six months, while no major response was observed under treatment. Moreover, its antitumoral activity persisted for 12-18 months following treatment initiation.

A novel type-2 innate lymphoid cell-based immunotherapy for cancer.

Cell-based cancer immunotherapy has achieved significant advancements, providing a source of hope for cancer patients. Notwithstanding the considerable progress in cell-based immunotherapy, the persistently low response rates and the exorbitant costs associated with their implementation still present a formidable challenge in clinical settings. In the landscape of cell-based cancer immunotherapies, an uncharted territory involves Type 2 innate lymphoid cells (ILC2s) and interleukin-33 (IL-33) which promotes ILC2 functionality, recognized for their inherent ability to enhance immune responses. Recent discoveries regarding their role in actuating cytolytic T lymphocyte responses, including curbing tumor growth rates and hindering metastasis, have added a new dimension to our understanding of the IL-33/ILC2 axis. These recent insights may hold significant promise for ILC2 cell-based immunotherapy. Nevertheless, the prospect of adoptively transferring ILC2s to confer immune protection against tumors has yet to be investigated. The present study addresses this hypothesis, revealing that ILC2s isolated from the lungs of tumor-bearing mice, and tumor infiltrating ILC2s when adoptively transferred after tumor establishment at a ratio of one ILC2 per sixty tumor cells, leads to an influx of tumor infiltrating CD4+ and CD8+ T lymphocytes as well as tumor infiltrating eosinophils resulting in a remarkable reduction in tumor growth. Moreover, we find that post-adoptive transfer of ILC2s, the number of tumor infiltrating ILC2s is inversely proportional to tumor size. Finally, we find corollaries of the IL-33/ILC2 axis enhancing the infiltration of eosinophils in human prostate carcinomas patients' expressing high levels of IL-33 versus those expressing low levels of IL-33. Our results underscore the heightened efficacy of adoptively transferred ILC2s compared to alternative approaches, revealing an approximately one hundred fifty-fold superiority on a cell-per-cell basis over CAR T-cells in the specific targeting and elimination of tumors within the same experimental model. Overall, this study demonstrates the functional significance of ILC2s in cancer immunosurveillance and provides the proof of concept of the potential utility of ILC2 cell-based cancer immunotherapies.

Is there an association between lymph node size and hyperprogression in immunotherapy-treated patients?

Hyperprogressive disease (HPD) can be described as an accelerated increase in the growth rate of tumors combined with rapid clinical deterioration observed in a subset of cancer patients undergoing immunotherapy, specifically with immune checkpoint inhibitors (ICIs). The reported incidence of HPD ranges from 5.9% to 43.1% in patients receiving ICIs. In this context, identifying reliable predictive risk factors for HPD is crucial as it may allow for earlier intervention and ultimately improve patient outcomes. This study retrospectively analyzed ten metastatic renal cell carcinoma (mRCC) patients. The identification of HPD was based on the diagnostic criteria proposed by Ferrara R et al. This study aimed to investigate whether there is an association between LN size and HPD using a cutoff value of 3 cm for LN size. Given the limited sample size, Fisher's exact test was used to test this association. We conducted a Kaplan-Meier (KM) analysis to estimate the median overall survival (OS) of patients with HPD and compared it to those without HPD. Three patients (30%) developed HPD, while seven (70%) did not. Fisher's exact test revealed a statistically significant association between the HPD and LN size ≥ 3 cm (p=0.008). In the HPD group, the median OS was significantly shorter, with a median OS of 3 months, whereas in the non-HPD group, the median OS was not reached (P =0.001). The present study found a significant association between LN size ≥ 3 cm in the pretreatment period and HPD development.

Intestinal Microbiota Modulates the Antitumor Effect of Oncolytic Virus Vaccines in Colorectal Cancer.

Immunotherapies, such as oncolytic viruses, have become powerful cancer treatments, but only some patients with cancer can benefit from them, especially those with advanced-stage cancer, and new therapeutic strategies are needed to facilitate extended survival. The intestinal microbiota may contribute to colorectal cancer (CRC) carcinogenesis and the response to immunotherapy. However, whether and how the intestinal microbiota modulates the effects of oncolytic virus vaccines (OVVs) in CRC remain to be investigated. We generated an MC38-gp33 CRC mouse model and treated it with OVV-gp33 in early and advanced stages. Probiotics, fecal microbiota transplantation (FMT), and antibiotics (ABX) were administered to regulate the microbial composition of CRC mice at an advanced stage. The tumor growth rate and survival time of the mice were recorded; 16S rDNA sequencing was used to analyze the microbial composition and flow cytometry was used to detect T-cell subset activity. OVV-gp33 treatment inhibited tumor growth and prolonged survival in the early stage of CRC butdid not have a significant effect on the advanced stage of CRC. Moreover, 16S rDNA sequence analysis and flow cytometry showed significant differences in intestinal microbiota composition, microbial metabolites, and T-cell subsets in early and advanced-stage CRC. Probiotic and FMT treatment significantly enhanced the antitumor effect of OVV in the advanced stage of CRC with an increased abundance of activated CD8+ T cells and a decreased ratio of Treg cells, while depletion of the microbiota by ABX eliminated the antitumor activity of OVV with decreased CD8+ T-cell activation and upregulated Treg cells. These results indicate that the intestinal microbiota and microbial metabolites play an important role in the antitumor effect of OVV in CRC. Furthermore, altering the intestinal microbiota composition can modulate the antitumor and immunomodulatory effects of OVV in CRC.

Efficacy of combined treatment with pirfenidone and PD-L1 inhibitor in mice bearing ectopic bladder cancer xenograft

To assess the efficacy of pirfenidone combined with PD-L1 inhibitor for treatment of bladder cancer in a mouse model and its effect on tumor immune microenvironment modulation. Forty C57BL/6 mouse models bearing ectopic human bladder cancer xenografts were randomized into control group, PD-L1 inhibitor group, pirfenidone group and combined treatment group (n=10). After successful modeling, PD-L1 inhibitor treatment was administered via intraperitoneal injection at 12.5 mg/kg every 3 days, and oral pirfenidone (500 mg/kg) was given on a daily basis. The survival rate of the mice and tumor growth rate were compared among the 4 groups. The expressions of CD3, CD8, CD45, E-cadherin and N-cadherin in the tumor tissues were detected with immunohistochemistry after the 21-day treatment, and bone marrow-derived suppressor cells (MDSCs) were observed with immunofluorescence staining; serum levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), urea nitrogen (BUN), creatinine (CRE) and lactate dehydrogenase (LDH-L) were analyzed using an automated biochemical analyzer. Treatment with PD-L1 inhibitor and pirfenidone alone both significantly decreased tumor growth rate and tumor volume at 21 days (P < 0.05), but the combined treatment produced an obviously stronger inhibitory effect (P < 0.05). PD-L1 inhibitor and pirfenidone alone significantly increased E- cadherin expression and decreased N-cadherin expression in the tumor tissue (P < 0.05). The two treatments both significantly increased the percentage of CD3+, CD8 and CD45+ T cells and decreased the percentage of Ly-6G+CD11b+MDSCs in the tumor tissue, and these changes were more obvious in the combined treatment group (P < 0.05). No significant differences were found in serum ALT, AST, BUN, CRE or LDH-L levels among the 4 groups (P>0.05). Combined treatment with pirfenidone and PD-L1 inhibitor significantly inhibits the progression of bladder cancer in mice possibly by regulating tumor immune microenvironment and inhibiting epithelial-mesenchymal transition of the tumor cells.

Quantitative modeling of tumor dynamics and development of drug resistance in non-small cell lung cancer patients treated with erlotinib.

Insight into the development of treatment resistance can support the optimization of anticancer treatments. This study aims to characterize the tumor dynamics and development of drug resistance in patients with non-small cell lung cancer treated with erlotinib, and investigate the relationship between baseline circulating tumor DNA (ctDNA) data and tumor dynamics. Data obtained for the analysis included (1) intensively sampled erlotinib concentrations from 29 patients from two previous pharmacokinetic (PK) studies, and (2) tumor sizes, ctDNA measurements, and sparsely sampled erlotinib concentrations from 18 patients from the START-TKI study. A two-compartment population PK model was first developed which well-described the PK data. The PK model was subsequently applied to investigate the exposure-tumor dynamics relationship. To characterize the tumor dynamics, models accounting for intra-tumor heterogeneity and acquired resistance with or without primary resistance were investigated. Eventually, the model assumed acquired resistance only resulted in an adequate fit. Additionally, models with or without exposure-dependent treatment effect were explored, and no significant exposure-response relationship for erlotinib was identified within the observed exposure range. Subsequently, the correlation of baseline ctDNA data on EGFR and TP53 variants with tumor dynamics' parameters was explored. The analysis indicated that higher baseline plasma EGFR mutation levels correlated with increased tumor growth rates, and the inclusion of ctDNA measurements improved model fit. This result suggests that quantitative ctDNA measurements at baseline have the potential to be a predictor of anticancer treatment response. The developed model can potentially be applied to design optimal treatment regimens that better overcome resistance.

Kidney scoring surveillance: predictive machine learning models for clear cell renal cell carcinoma growth using MRI.

Classification of clear cell renal cell carcinoma (ccRCC) growth rates in patients with Von Hippel-Lindau (VHL) syndrome has several ramifications for tumor monitoring and surgical planning. Using two separate machine-learning algorithms, we sought to produce models to predict ccRCC growth rate classes based on qualitative MRI-derived characteristics. We used a prospectively maintained database of patients with VHL who underwent surgical resection for ccRCC between January 2015 and June 2022. We employed a threshold growth rate of 0.5cm per year to categorize ccRCC tumors into two distinct groups-'slow-growing' and 'fast-growing'. Utilizing a questionnaire of qualitative imaging features, two radiologists assessed each lesion on different MRI sequences. Two machine-learning models, a stacked ensemble technique and a decision tree algorithm, were used to predict the tumor growth rate classes. Positive predictive value (PPV), sensitivity, and F1-score were used to evaluate the performance of the models. This study comprises 55 patients with VHL with 128 ccRCC tumors. Patients' median age was 48years, and 28 patients were males. Each patient had an average of two tumors, with a median size of 2.1cm and a median growth rate of 0.35cm/year. The overall performance of the stacked and DT model had 0.77 ± 0.05 and 0.71 ± 0.06 accuracies, respectively. The best stacked model achieved a PPV of 0.92, a sensitivity of 0.91, and an F1-score of 0.90. This study provides valuable insight into the potential of machine-learning analysis for the determination of renal tumor growth rate in patients with VHL. This finding could be utilized as an assistive tool for the individualized screening and follow-up of this population.

Novel Brain-Penetrant, Small-Molecule Tubulin Destabilizers for the Treatment of Glioblastoma.

Glioblastoma (GB) is the most lethal brain cancer in adults, with a 5-year survival rate of 5%. The standard of care for GB includes maximally safe surgical resection, radiation, and temozolomide (TMZ) therapy, but tumor recurrence is inevitable in most GB patients. Here, we describe the development of a blood-brain barrier (BBB)-penetrant tubulin destabilizer, RGN3067, for the treatment of GB. RGN3067 shows good oral bioavailability and achieves high concentrations in rodent brains after oral dosing (Cmax of 7807 ng/mL (20 μM), Tmax at 2 h). RGN3067 binds the colchicine binding site of tubulin and inhibits tubulin polymerization. The compound also suppresses the proliferation of the GB cell lines U87 and LN-18, with IC50s of 117 and 560 nM, respectively. In four patient-derived GB cell lines, the IC50 values for RGN3067 range from 148 to 616 nM. Finally, in a patient-derived xenograft (PDX) mouse model, RGN3067 reduces the rate of tumor growth compared to the control. Collectively, we show that RGN3067 is a BBB-penetrant small molecule that shows in vitro and in vivo efficacy and that its design addresses many of the physicochemical properties that prevent the use of microtubule destabilizers as treatments for GB and other brain cancers.

CT-derived radiomics predict the growth rate of renal tumours in von Hippel–Lindau syndrome

To predict renal tumour growth patterns in von Hippel-Lindau syndrome by utilising radiomic features to assist in developing personalised surveillance plans leading to better patient outcomes. The study evaluated 78 renal tumours in 55 patients with histopathologically-confirmed clear cell renal cell carcinomas (ccRCCs), which were segmented and radiomics were extracted. Volumetric doubling time (VDT) classified the tumours into fast-growing (VDT <365 days) or slow-growing (VDT ≥365 days). Volumetric and diametric growth analyses were compared between the groups. Multiple logistic regression and random forest classifiers were used to select the best features and models based on their correlation and predictability of VDT. Fifty-five patients (mean age 42.2±12.2 years, 27 men) with a mean time difference of 3.8±2 years between the baseline and preoperative scans were studied. Twenty-five tumours were fast-growing (low VDT, i.e., <365 days), and 53 tumours were slow-growing (high VDT, i.e., ≥365 days). The median volumetric and diametric growth rates were 1.71 cm3/year and 0.31 cm/year. The best feature using univariate analysis was wavelet-HLL_glcm_ldmn (area under the receiver operating characteristic [ROC] curve [AUC] of 0.80, p<0.0001), and with the random forest classifier, it was log-sigma-0-5-mm-3D_glszm_ZonePercentage (AUC: 79). The AUC of the ROC curves using multiple logistic regression was 0.74, and with the random forest classifier was 0.73. Radiomic features correlated with VDT and were able to predict the growth pattern of renal tumours in patients with VHL syndrome.

Modulating pancreatic cancer microenvironment: The efficacy of Huachansu in mouse models via TGF-β/Smad pathway

Ethnopharmacological relevanceHuachansu (HCS) is a traditional Chinese medicine obtained from the dried skin glands of Bufo gargarizans and clinical uses of HCS have been approved in China to treat malignant tumors. The traditional Chinese medicine theory states that HCS relieves patients with cancer by promoting blood circulation to remove blood stasis. Clinical observation found that local injection of HCS given to pancreatic cancer patients can significantly inhibit tumor progression and assist in enhancing the efficacy of chemotherapy. However, the material basis and underlying mechanism have not yet been elucidated. Aim of the studyTo investigate the therapeutic potential of HCS for the treatment of pancreatic cancer in in situ transplanted tumor nude mouse model. Furthermore, this study sought to elucidate the molecular mechanisms underlying its efficacy and assess the impact of HCS on the microenvironment of pancreatic cancer. To identify the antitumor effect of HCS in in situ transplanted tumor nude mouse model and determine the Chemopreventive mechanism of HCS on tumor microenvironment (TME). MethodsUsing the orthotopic transplantation nude mouse model with fluorescently labeled pancreatic cancer cell lines SW1990 and pancreatic stellate cells (PSCs), we examined the effect of HCS on the pancreatic ductal adenocarcinoma (PDAC) microenvironment based on the transforming growth factor β (TGF-β)/Smad pathway. The expression of TGF-β, smad2, smad3, smad4, collagen type-1 genes and proteins in nude mouse model were detected by qRT-PCR and Western blot. ResultsHCS significantly reduced tumor growth rate, increased the survival rate, and ameliorated the histopathological changes in the pancreas. It was found that HCS concentration-dependently reduced the expression of TGF-β1 and collagen type-1 genes and proteins, decreased the expression of Smad2 and Smad3 genes, and downregulated the phosphorylation level of Smad2/3. Additionally, the gene and protein expression of Smad4 were promoted by HCS. Further, the promoting effect gradually enhanced with the rise of HCS concentration. ConclusionsThe results demonstrated HCS could regulate the activity of the TGF-β/Smad pathway in PDAC, improved the microenvironment of PDAC and delayed tumor progression. This study not only indicated that the protective mechanism of HCS on PDAC might be attributed partly to the inhibition of cytokine production and the TGF-β/Smad pathway, but also provided evidence for HCS as a potential medicine for PDAC treatment.

Incidence of immunotherapy-related hyperprogressive disease (HPD) across HPD definitions and cancer types in observational studies: A systematic review and meta-analysis.

While evidence of hyperprogressive disease (HPD) continues to grow, the lack of a consensual definition obscures a proper characterization of HPD incidence. We examined how HPD incidence varies by the tumor type or the type of definition used. We searched PubMed, Embase, the Cochrane Library of Systematic Reviews, and Web of Science from database inception to June 21, 2022. Observational studies reporting HPD incidence, in patients diagnosed with solid malignant tumors and treated with immune checkpoint inhibitors (ICI), were included. Random-effects meta-analyses were performed, and all statistical tests were 2-sided. HPD incidence was 12.4% (95% CI 10.2%-15.0%) with evidence of heterogeneity (Q = 119.32, p < 0.001). Meta-regression showed that the risk of developing HPD was higher in patients with advanced gastric cancer (adjusted odds ratio [OR], 10.83; 95% CI, 2.14-54.65; p < 0.001), hepatocellular carcinoma (adjusted OR, 7.99; 95% CI, 1.68-38.13; p = 0.006), non-small cell lung cancer (adjusted OR, 7.14; 95% CI, 1.58-32.29; p = 0.005), and mixed or other types (adjusted OR, 5.09; 95% CI, 1.12-23.14, p = 0.018) than in patients with renal cell carcinoma. Across definitions, HPD defined as a tumor growth kinetics ratio ≥ 2 (adjusted OR, 1.82; 95% CI, 1.08-3.07; p = 0.025) based on the Response Evaluation Criteria in Solid Tumors (RECIST) reported higher incidence than when HPD was defined as RECIST-defined progressive disease and a change in the tumor growth rate (TGR) exceeding 50% (∆TGR > 50). The incidence of immunotherapy-related HPD may vary across tumor types and definitions used, supporting the argument for a uniform and improved method of HPD evaluation for informed clinical decision-making.

The value of diffusion-weighted imaging in the natural history of meningiomas: a predictor of tumor growth.

The general trend in meningioma treatment is shifting from surgery to active surveillance. However, the natural history of meningioma still needs to be clarified, and a simple, practical method is needed to identify fast-growing tumors. The authors aimed to determine whether diffusion-weighted imaging (DWI) could be a valuable imaging modality for predicting meningioma growth. Consecutive asymptomatic patients with a meningioma diagnosed on MRI and followed up at the authors' institution between July 2011 and July 2019 were eligible for inclusion in this retrospective study. Univariable and multivariable Cox regression analyses were used to explore whether the relative apparent diffusion coefficient (rADC) was an independent predictor of meningioma growth. Correlations between tumor growth rate (TGR), tumor volume doubling time (VDT), Ki-67, and rADC were assessed using the Pearson correlation coefficient. The predictive ability of rADC was evaluated using receiver operating characteristic (ROC) curves and validated with internal validation data. Sixty-four patients (47 females, 17 males) with a mean age of 62.2 ± 1.4 years were included in this study. Univariable and multivariable analyses revealed that rADC was an independent predictor of meningioma growth (p < 0.05). ROC curve analysis showed that baseline rADC had good predictive power for growing meningiomas (AUC = 0.88, 95% CI 0.78-0.96), as well as slow- or fast-growing meningiomas (AUC = 0.83, 95% CI 0.59-0.98). Moreover, rADC still had a good ability to discriminate between growing and nongrowing meningiomas in the validation set (AUC = 0.85, 95% CI 0.64-1.00). In the 20 patients with tumor growth, baseline rADC was moderately negatively correlated with TGR (r = -0.50, p = 0.02) and strongly positively correlated with VDT (r = 0.63, p = 0.003). Moreover, Ki-67 was significantly associated with rADC in 8 patients who had undergone surgery (r = -0.75, p = 0.03). In asymptomatic meningiomas, the lower the rADC at baseline, the faster the TGR and the shorter the VDT. DWI could be a valuable tool in predicting meningioma growth in asymptomatic patients.

Epigenetic upregulation of MNAT1 by SMYD2 is linked to PI3K/AKT activation and tumorigenesis of pancreatic adenocarcinoma.

Dysregulation of histone methyltransferase SET and MYND domain-containing protein 2 (SMYD2) has been correlated with human developmental disorders and cancers. This research aims to investigate the roles of SMYD2 and its interacted molecules in pancreatic adenocarcinoma (PAAD). Two PAAD-related gene expression datasets were downloaded to screen key molecules involved in tumor progression. SMYD2 was expressed at high levels in PAAD tissues and cells. SMYD2 silencing suppressed while its overexpression promoted proliferation, invasiveness, migration, apoptosis resistance, and cell cycle progression of PAAD cells. Target molecules of SMYD2 were predicted by online tools and validated by chromatin immunoprecipitation and luciferase assays. SMYD2 catalyzed H3K36me2 modification at the promoter region of MNAT1 component of CDK activating kinase (MNAT1), to promote its transcription. MNAT1 was correlated with an unfavorable clinical outcome of PAAD patients. Alteration of MNAT1 alone also affected the malignant behavior of PAAD cells. Moreover, MNAT1 overexpression in cells rescued the malignant phenotype of cells suppressed by SMYD2 silencing. MNAT1 activated the phosphatidyl inositol 3-kinase/protein kinase B (PI3K/AKT) signaling. In vivo, SMYD2 silencing decreased the growth rate and weight of xenograft tumors in nude mice. Overall, this paper demonstrates that SMYD2-mediated MNAT1 upregulation is linked to PAAD tumorigenesis via PI3K/AKT pathway activation.

From molecular signatures to radiomics: tailoring neurooncological strategies through forecasting of glioma growth.

Contemporary oncological paradigms for adjuvant treatment of low- and intermediate-grade gliomas are often guided by a limited array of parameters, overlooking the dynamic nature of the disease. The authors' aim was to develop a comprehensive multivariate glioma growth model based on multicentric data, to facilitate more individualized therapeutic strategies. Random slope models with subject-specific random intercepts were fitted to a retrospective cohort of grade II and III gliomas from the database at Kepler University Hospital (n = 191) to predict future mean tumor diameters. Deep learning-based radiomics was used together with a comprehensive clinical dataset and evaluated on an external prospectively collected validation cohort from University Hospital Zurich (n = 9). Prediction quality was assessed via mean squared prediction error. A mean squared prediction error of 0.58 cm for the external validation cohort was achieved, indicating very good prognostic value. The mean ± SD time to adjuvant therapy was 28.7 ± 43.3 months and 16.1 ± 14.6 months for the training and validation cohort, respectively, with a mean of 6.2 ± 5 and 3.6 ± 0.7, respectively, for number of observations. The observed mean tumor diameter per year was 0.38 cm (95% CI 0.25-0.51) for the training cohort, and 1.02 cm (95% CI 0.78-2.82) for the validation cohort. Glioma of the superior frontal gyrus showed a higher rate of tumor growth than insular glioma. Oligodendroglioma showed less pronounced growth, anaplastic astrocytoma-unlike anaplastic oligodendroglioma-was associated with faster tumor growth. Unlike the impact of extent of resection, isocitrate dehydrogenase (IDH) had negligible influence on tumor growth. Inclusion of radiomics variables significantly enhanced the prediction performance of the random slope model used. The authors developed an advanced statistical model to predict tumor volumes both pre- and postoperatively, using comprehensive data prior to the initiation of adjuvant therapy. Using radiomics enhanced the precision of the prediction models. Whereas tumor extent of resection and topology emerged as influential factors in tumor growth, the IDH status did not. This study emphasizes the imperative of advanced computational methods in refining personalized low-grade glioma treatment, advocating a move beyond traditional paradigms.

Anti-PD-1 immunotherapy with adjuvant ablative fractional laser displays increased tumour clearance of squamous cell carcinoma, a murine study.

PD-1 checkpoint inhibitors are used as systemic immunotherapy for locally advanced and metastatic cutaneous squamous cell carcinoma (SCC); however, improved treatment efficacy is urgently needed. In this study, we aimed to investigate the effect of combining systemic anti-PD-1 treatment with adjuvant ablative fractional laser (AFL) in a spontaneous SCC mouse model. Tumours induced by ultraviolet radiation in the strain C3.Cg-Hrhr /TifBomTac were divided into four groups: anti-PD-1-antibody+AFL (n = 33), AFL alone (n = 22) anti-PD-1-antibody alone (n = 31) and untreated controls (n = 46). AFL was given at Day 0 (100 mJ/mb, 5% density), while anti-PD-1-antibody (ip, 200 μg) at Days 0, 2, 4, 6 and 8. Response to treatment was evaluated by tumour growth, survival time and by dividing response to treatment into complete responders (clinically cleared tumours), partial responders (reduced tumour growth rate compared to untreated controls) and non-responders (no decrease in tumour growth rate compared to untreated controls). The strongest tumour response was observed following the combination of systemic anti-PD-1 treatment combined with laser exposure, resulting in the highest percentage of complete responders (24%) compared with untreated controls (0%, p < 0.01), AFL monotherapy (13%, p > 0.05) and anti-PD-1-antibody monotherapy (3%, p > 0.05). Moreover, all three treatment interventions demonstrated significantly reduced tumour growth rates compared with untreated controls (p < 0.01), and the mice had significantly longer survival times (p < 0.01). In conclusion, the combination treatment revealed an improved treatment effect that significantly enhanced the complete tumour clearance not observed with the monotherapies, indicating a possible additive effect of anti-PD-1 with adjuvant AFL in treatment of SCC.

Radiographic growth rate as a predictor of aggressiveness of diffuse gliomas without 1p19q codeletion.

The 2021 WHO classification of CNS tumors has refined the definition of adult-type diffuse gliomas without 1p19q codeletion. Nevertheless, the aggressiveness of gliomas is based exclusively on histomolecular criteria performed on a limited sample of the tumor. The authors aimed to assess whether the spontaneous radiographic tumor growth rate is associated with tumor aggressiveness and allows preoperative identification of malignancy grade of adult-type diffuse gliomas without 1p19q codeletion. The authors retrospectively reviewed the records of adult patients harboring a newly diagnosed supratentorial diffuse glioma without 1p19q codeletion, with available preoperative MRI follow-up between January 2008 and April 2022. The spontaneous radiographic tumor growth rate was quantified by tumor volume segmentation and regression of the evolution of the mean tumor diameter over time and was compared with clinical, imaging, histomolecular, and survival data. Ninety-six patients were included. The spontaneous radiographic tumor growth rates (mean 17.8 ± 38.8 mm/year, range 0-243.5 mm/year) significantly varied according to IDH1/2 mutation (p < 0.001), grade of malignancy (p < 0.001), and presence of microvascular proliferation (p < 0.001). The spontaneous radiographic tumor growth rate allowed preoperative identification of high-grade cases: 100% of grade 3 and 4 IDH-mutant diffuse astrocytomas had a spontaneous radiographic tumor growth rate ≥ 8.0 mm/year, and 100% of IDH-wild-type glioblastomas had a spontaneous radiographic tumor growth rate ≥ 42.0 mm/year. A spontaneous radiographic growth rate ≥ 8.0 mm/year was an independent predictor of shorter progression-free (p = 0.014) and overall (p = 0.007) survival. A mitotic count threshold ≥ 4 mitoses was the optimal threshold for identifying aggressive IDH-mutant astrocytomas based on spontaneous radiographic tumor growth. The spontaneous radiographic tumor growth rates could be used as an additional tool to preoperatively screen tumor aggressiveness of adult-type diffuse gliomas without 1p19q codeletion.

Expanding immunotherapy options in cholangiocarcinoma: Role of CD27 agonist in combination with PD-L1 and MEK inhibition on antitumor effect and CD8+ T cells.

518 Background: Despite addition of PD-L1 therapy to unresectable cholangiocarcinoma (CCA) standard of care, there remains an unmet need for novel therapies. Our recent phase II trial of dual PD-L1 inhibition (PD-L1i) and MEK inhibition (MEKi) significantly improved progression-free survival (PFS). While MEKi enhances tumor antigen presentation and T cell tumor infiltration, it also impairs T cell priming and activation with notable CD27 upregulation. Our work reveals that CD27 agonists (CD27Ag) foster T cell stem-like and resident memory phenotypes, negating inhibitory effect of MEKi on CD8+ T cells. We hypothesized that addition of a CD27Ag to PD-L1i/MEKi combination therapy would rescue T cell activation and improve antitumor efficacy. Methods: Immune cells from pmel-1 mice were isolated, activated with gp100, and cultured in vitro with 100 IU/mL IL-2 and single, dual, or triple therapy with CD27Ag, cobimetinib (MEKi) and/or αPD-L1. Day 3 flow cytometry characterized CD8+ T cell phenotype and cytokine expression. Additionally, syngeneic murine CCA cell line URCCA4.3 (KrasG21D, tp53-/-) was injected into C57BL/6 mice, subcutaneously or intrahepatic, followed by ~3 weeks of treatment with mono, dual, or triple therapy. For CD8 depletion studies, CD8-depleting antibody was given on the day prior to and following surgery and every 3-4 days afterwards. Tumor and tumor-draining lymph nodes were harvested at study endpoint. Lymphocytes were characterized by flow cytometry. Results: MEKi, alone or with αPD-L1, reduced frequency of activated T cells in vitro (dose-dependent effect on CD69+). CD27Ag combined with MEKi maintained prominent T cell activation. Triple therapy PD-L1i/MEKi/CD27Ag significantly reduced tumor growth rate in mice versus mono or dual therapies (p&lt;0.05). Tumor-infiltrating lymphocytes comprised a stem-like (Tcf-1+), effector memory (CD44+CD62L-), and tissue resident memory (CD103+CD69+) phenotype in triple therapy versus single or dual therapy (p&lt;0.01, p&lt;0.0001, p&lt;0.0001 respectively). All groups had similar numbers of CD8+ stem-like cells (Tcf-1+Tim-3-) in draining lymph nodes, but these cells were only present in tumor from the triple therapy arm (p&lt;0.05). Cell depletion studies showed that CD8+ T cells were required for efficacy of triple therapy in vivo. Finally, an aggressive orthotopic liver tumor model showed improved median survival in triple therapy mice versus control (37.5 days versus 29.5 days, p&lt;0.01). Conclusions: CD27 agonism prevents the impairment of T cell activation that was mediated by MEKi. Moreover, this CD27Ag/MEKi/PDL1i triple therapy bolstered trafficking of T cells with stem-like, effector, or resident memory properties, in turn enhancing the antitumor response. This therapy is being evaluated in metastatic CCA patients in an ongoing Phase II clinical trial.

Growth kinetics of benign neuroepithelial brain tumors in children with relapse

The problem of treating children with recurrent cerebral tumors cannot be solved without effective prediction of recurrent blastomatous growth. The main question will be, in addition to the possible risks of tumor recurrence, when should regrowth of the neoplasm be expected in time? In our opinion, one of the probable ways to solve this problem is to study the kinetics of tumor growth and create a mathematical model for it. The aim of the study was to analyze the kinetic features of the continued growth of benign neuroepithelial brain tumors in children after surgical treatment. The study included the results of an MRI of a 32 patients under the age of 17 years. All patients underwent brain tumor resection for the first time in the Department for Children Polenov Neurosurgical Institute (Almazov National Medical Research Centre). All patients had a relapse/continued tumor growth, as well as a benign nature of the neoplasm, which was confirmed pathomorphologically. To construct the kinetic curves, volumetric indicators of tumors obtained by virtual 3D-modeling were used. Depending on the histotype, the tumor growth rate was determined by the formula: v = (VT-VO)/T, and a graphical assessment of changes in the volume of the neoplasm was carried out – the construction of kinetic curves. Further, the most typical kinetic curves for each histological type of benign neuroepithelial tumors were identified.