Proliferation Rate Of Tumor Cells Research Articles

Mathematical Modeling and Analysis of CD200-CD200R in Cancer Treatment.

CD200 is a cell membrane protein that binds to its receptor, CD200 receptor (CD200R). The CD200 positive tumor cells inhibit the cellular functions of M1 and M2 macrophages and dendritic cells (DCs) through the CD200-CD200R complex, resulting in downregulation of Interleukin-10 and Interleukin-12 productions and affecting the activation of cytotoxic T lymphocytes. In this work, we provide two ordinary differential equation models, one complete model and one simplified model, to investigate how the binding affinities of CD200R and the populations of M1 and M2 macrophages affect the functions of the CD200-CD200R complex in tumor growth. Our simulations demonstrate that (i) the impact of the CD200-CD200R complex on tumor promotion or inhibition highly depends on the binding affinity of the CD200R on M2 macrophages and DCs to the CD200 on tumor cells, and (ii) a stronger binding affinity of the CD200R on M1 macrophages or DCs to the CD200 on tumor cells induces a higher tumor cell density in the CD200 positive tumor. Thus, the CD200 blockade would be an efficient treatment method in this case. Moreover, the simplified model shows that the binding affinity of CD200R on macrophages is the major factor to determine the treatment efficacy of CD200 blockade when the binding affinities of CD200R on M1 and M2 macrophages are significantly different to each other. On the other hand, both the binding affinity of CD200R and the population of macrophages are the major factors to determine the treatment efficacy of CD200 blockade when the binding affinities of CD200R on M1 and M2 macrophages are close to each other. We also analyze the simplified model to investigate the dynamics of the positive and trivial equilibria of the CD200 positive tumor case and the CD200 deficient tumor case. The bifurcation diagrams show that when M1 macrophages dominate the population, the tumor cell density of the CD200 positive tumor is higher than the one of CD200 deficient tumor. Moreover, the dynamics of tumor cell density change from tumor elimination to tumor persistence to oscillation, as the maximal proliferation rate of tumor cells increases.

EVALUATION OF Ki-67 IN PROSTATIC CARCINOMA AND ITS CORRELATION WITH GLEASON'S SCORE AND OTHER PROGNOSTIC FACTORS

Background&Objectives: Prostate cancer is the second most commonly diagnosed malignancy and sixth leading cause of cancer death among men globally. Gleason system is the one recommended by World health organization and accepted by majority of urologists and radiotherapists. Proliferation marker Ki-67 reects the tumor cell proliferation rate as it correlates with progression, metastasis and prognosis in a number of different malignancies. The objective is to assess different histopathological grades and ki67 protein expression in prostate carcinoma and to correlate ki67 with Gleason's grade and other prognostic factors. Methods: The Prospective study was carried out in the Department of Pathology of SRMSIMS, Bareilly over a period of 1.5 years from November 2019 to April 2021.47 histologically conrmed prostatic carcinoma cases were included. They were subjected to immunohistochemical staining for ki67 and its activity was quantied using the labeling index. Result: In this study, expression of ki67 was markedly high in tumours with increased Gleason's grade group and was found to be statistically signicant( p value= 0.042). No statistically signicant correlation was seen with USG ndings, S. PSA, lymphovascular and perineural invasion.(p value= 0.452, 0.587, 0.051, 0.320). Interpretation&Conclusion: Ki67 expression is signicantly upregulated in aggressive and high grade prostatic carcinomas which reects its crucial relationship with the prognosis of these cancers.

Abstract 2738: Image-driven biophysical model to predict pathologic response to neoadjuvant therapy in breast cancer

Abstract Introduction: In previous work, we developed an image-driven, patient-specific biophysical model of breast tumor response to neoadjuvant therapy (NAT). In this work, we use this model to characterize response during the course of NAT to predict pathological complete response (pCR). pCR is an important binary pathological outcome metric as patients who achieve pCR experience improved survival outcomes. We hypothesize that with optimized imaging time points within the I-SPY 2 trial study design, we will be able to more accurately characterize dynamic response to therapy and predict eventual pCR. Methods: Our retrospective study included 84 patients (26 pCR, 58 non-pCR) from the publicly-available ACRIN-6698 study.4-7 This substudy to the ongoing I-SPY 2 trial evaluates the effectiveness of diffusion weighted magnetic resonance imaging (DW-MRI) for assessing breast cancer response to NAT. We use serial DW-MRI data to compute the apparent diffusion coefficient (ADC), which is used to approximate tumor cell density distribution between baseline and midtreatment (12 weeks). Cellularity data is fit to our model of tumor growth/treatment response1-3 to obtain biophysical estimates of response, including the tumor cell proliferation rate (k). Estimated spatial proliferation maps of the tumor throughout NAT between imaging time points are used to create a histogram of tumor cell proliferation for each patient and histogram metrics are extracted as features to predict pCR. Receiver operating characteristic (ROC) curves were generated and the area under the curve (AUC), sensitivity (sens), and specificity (spec) were calculated to evaluate prediction performance. Results: Parameterizations of tumor biophysical properties were calculated between baseline and midtreatment. In univariate analysis with model-based proliferative area we achieved a ROC AUC of 0.72 (85% sens, 55% spec). Conventional metrics of percent change in tumor area and mean ADC achieved ROC AUC of 0.52 (50% sens and 69% spec; 23% sens and 97% spec). We constructed multivariate logistic regression models to combine parameters to build signatures for predicting pCR. We achieved AUC of 0.88 (85% sens and 81% spec) and 0.97 (100% sens and 88% spec) for our model metrics alone, and in combination with size and ADC metrics, respectively. Conclusions: Use of image-driven mathematical modeling with the ACRIN-6698 subset of the I-SPY 2 trial enables accurate prediction of tumor response during NAT based on baseline and mid-treatment imaging data. This initial study provides promise for improved prediction accuracy with biophysical modeling. These results suggest that a biophysical modeling method has the potential to aid in response characterization. In future work, we will apply our model to the remainder of the ACRIN-6698 subset to more rigorously assess prediction of pCR and investigate incorporation of tumor perfusion and diffusion data. Citation Format: Haley J. Bowers, Jared A. Weis, Alexandra Thomas, Emily Douglas, Katherine Ansley. Image-driven biophysical model to predict pathologic response to neoadjuvant therapy in breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2738.

Abstract P1-08-20: In silico analysis of a novel mathematical model integrating in vitro and in vivo imaging data reveals driving mechanisms of breast cancer response to NAT for personalized tumor forecasting

Abstract The early assessment of neoadjuvant therapy (NAT) response in triple-negative breast cancer (TNBC) would enable a treating oncologist to adjust a therapeutic plan of a non-responding patient, and thereby enhance outcomes while preventing unnecessary toxicities. To address this challenge, we propose leveraging personalized, in silico forecasts of tumor response to therapeutic regimens via a mechanistic mathematical model calibrated with patient-specific longitudinal magnetic resonance imaging (MRI) data acquired early during NAT. Here, we focus on identifying the driving mechanisms involved in the model formulation through a global sensitivity analysis. Our model describes the dynamics of TNBC cell density as a combination of mobility, which is formulated as a diffusion process constrained by local tumor-induced mechanical stress, and net proliferation, which is represented with a logistic term. To model TNBC response to NAT drug combinations, we adjust the tumor cell proliferation rate with a recent pharmacodynamic model, MuSyC, which also accounts for synergy of potency and efficacy. Tumor cell density is estimated from diffusion-weighted MRI data, while tissue mechanical properties are defined from segmented contrast-enhanced T1-weighted MRI data. To model the heterogeneous intratumoral delivery of drugs, we use perfusion maps estimated from dynamic contrast-enhanced MRI data. NAT drug pharmacokinetics are approximated with a linear model, which reasonably represents their temporal decay during NAT. Sobol’s method is used for the global sensitivity analysis of the NAT response of two different tumors (one well-perfused and one poorly-perfused) on a 3D, tissue-scale domain. This allows us to assess the total effect (ST) of each model parameter on tumor volume and global cellularity. Here, we focus on two standard NAT regimens: doxorubicin plus cyclophosphamide, and paclitaxel plus carboplatin. The parameter space is constructed by integrating three approaches. First, we use prior patient-specific in silico estimates of tumor cell mobility and proliferation. Second, we experimentally constrain the parameters accounting for potential synergistic drug activity by using time-resolved, high-throughput, automated microscopy assays that capture drug-induced changes in proliferation rates of various TNBC lines (HCC1143, SUM149, MDAMB231, and MDAMB468; perfosfamide was used in lieu of the pro-drug cyclophosphamide). Third, we scale the resulting in vitro parameter ranges to be clinically-relevant through an in silico study with our mechanistic model. Our results show that out of the 15 model parameters considered in the sensitivity analysis only a minority exhibited a driving role (ST > 0.1) in representing the dynamics of TNBC response to NAT, namely: the baseline tumor cell proliferation rate along with the effect and ratio of peak concentration to EC50 of doxorubicin, paclitaxel, and carboplatin. The other parameters have a marginal effect and can thus be fixed to any value within the parameter space. We select these constant parameters such that they contribute to simplifying the model formulation, leading to a surrogate reduced model. We further show that the reduced and the original model produce distributions of tumor volume and global cellularity that are in remarkable agreement both qualitatively (Dice similarity coefficient > 0.90 and > 0.94, respectively) and parameter-wise (concordance correlation coefficient > 0.85 and > 0.89, respectively). Thus, we conclude that our reduced model constitutes a feasible surrogate for future clinical calibration-forecasting studies, thereby facilitating personalized NAT response forecasting with patient-specific imaging datasets acquired in vivo. Citation Format: Guillermo Lorenzo, Angela M. Jarrett, Christian T. Meyer, Darren R. Tyson, Vito Quaranta, Thomas E. Yankeelov. In silico analysis of a novel mathematical model integrating in vitro and in vivo imaging data reveals driving mechanisms of breast cancer response to NAT for personalized tumor forecasting [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P1-08-20.

Clinical validity and clinical utility of Ki67 in early breast cancer.

Ki67 represents an immunohistochemical nuclear localized marker that is widely used in surgical pathology. Nuclear immunoreactivity for Ki67 indicates that cells are cycling and are in G1- to S-phase. The percentage of Ki67-positive tumor cells (Ki67 index) therefore provides an estimate of the growth fraction in tumor specimens. In breast cancer (BC), tumor cell proliferation rate is one of the most relevant prognostic markers and Ki67 is consequently helpful in prognostication similar to histological grading and mRNA profiling-based BC risk stratification. In BCs treated with short-term preoperative endocrine therapy, Ki67 dynamics enable distinguishing between endocrine sensitive and resistant tumors. Despite its nearly universal use in pathology laboratories worldwide, no internationally accepted consensus has yet been achieved for some methodological details related to Ki67 immunohistochemistry (IHC). Controversial issues refer to choice of IHC antibody clones, scoring methods, inter-laboratory reproducibility, and the potential value of computer-assisted imaging analysis and/or artificial intelligence for Ki67 assessment. Prospective clinical trials focusing on BC treatment have proven that Ki67, as determined by standardized central pathology assessment, is of clinical validity. Clinical utility has been demonstrated in huge observational studies.

Multiple targeted doxorubicin-lonidamine liposomes modified with p-hydroxybenzoic acid and triphenylphosphonium to synergistically treat glioma

A type of pH-sensitive multi-targeted brain tumor site-specific liposomes (Lip-CTPP) co-modified with p-hydroxybenzoic acid (p-HA) and triphenylphosphonium (TPP) were designed and prepared to co-load doxorubicin (DOX) and lonidamine (LND). Lip-CTPP are promising potential carriers to exert the anti-glioma effect of DOX and LND collaboratively given the following features: 1) Lip-CTPP have a good pharmacokinetic behavior; 2) Lip-CTPP can cross the blood-brain barrier (BBB) and recognize tumor cells through the affinity of p-HA and dopamine/sigma receptors; 3) Lip-CTPP are highly positive charged once the acid-sensitive amide bonds are cleaved in endo/lysosomes to expose TPP and protonate amine groups; 4) the positive charged Lip-CTPP escape from endo/lysosomes and accumulate in mitochondria through electrostatic adsorption; 5) DOX and LND are released and synergistically increase anti-tumor efficacy. Our in vitro and in vivo results confirmed that Lip-CTPP could greatly elevate the inhibition rate of tumor cell proliferation, migration and invasion, promote apoptosis and necrosis, and interfere with mitochondrial function. In addition, Lip-CTPP could significantly prolong the survival time of glioma bearing mice, narrow the tumor region and inhibit the infiltration and metastasis capability of glioma cells. Collectively, Lip-CTPP are promising nano formulations to enhance the synergistic effect of DOX and LND in glioma treatment.

Monitoring Circulating Tumor DNA During Surgical Treatment in Patients with Gastrointestinal Stromal Tumors.

The majority of patients diagnosed with advanced gastrointestinal stromal tumors (GISTs) are successfully treated with a combination of surgery and tyrosine kinase inhibitors (TKIs). However, it remains challenging to monitor treatment efficacy and identify relapse early. Here, we utilized a sequencing strategy based on molecular barcodes and developed a GIST-specific panel to monitor tumor-specific and TKI resistance mutations in cell-free DNA and applied the approach to patients undergoing surgical treatment. Thirty-two patients with GISTs were included, and 161 blood plasma samples were collected and analyzed at routine visits before and after surgery and at the beginning, during, and after surgery. Patients were included regardless of their risk category. Our GIST-specific sequencing approach allowed detection of tumor-specific mutations and TKI resistance mutations with mutant allele frequency < 0.1%. Circulating tumor DNA (ctDNA) was detected in at least one timepoint in nine of 32 patients, ranging from 0.04% to 93% in mutant allele frequency. High-risk patients were more often ctDNA positive than other risk groups (P < 0.05). Patients with detectable ctDNA also displayed higher tumor cell proliferation rates (P < 0.01) and larger tumor sizes (P < 0.01). All patients who were ctDNA positive during surgery became negative after surgery. Finally, in two patients who progressed on TKI treatment, we detected multiple resistance mutations. Our data show that ctDNA may become a clinically useful biomarker in monitoring treatment efficacy in patients with high-risk GISTs and can assist in treatment decision making.

A Mathematical Modeling Approach for Targeted Radionuclide and Chimeric Antigen Receptor T Cell Combination Therapy.

Simple SummaryTargeted radionuclide therapy (TRT) and immunotherapy, an example being chimeric antigen receptor T cells (CAR-Ts), represent two potent means of eradicating systemic cancers. Although each one as a monotherapy might have a limited effect, the potency can be increased with a combination of the two therapies. The complications involved in the dosing and scheduling of these therapies make the mathematical modeling of these therapies a suitable solution for designing combination treatment approaches. Here, we investigate a mathematical model for TRT and CAR-T cell combination therapies. Through an analysis of the mathematical model, we find that the tumor proliferation rate is the most important factor affecting the scheduling of TRT and CAR-T cell treatments with faster proliferating tumors requiring a shorter interval between the two therapies.Targeted radionuclide therapy (TRT) has recently seen a surge in popularity with the use of radionuclides conjugated to small molecules and antibodies. Similarly, immunotherapy also has shown promising results, an example being chimeric antigen receptor T cell (CAR-T) therapy in hematologic malignancies. Moreover, TRT and CAR-T therapies possess unique features that require special consideration when determining how to dose as well as the timing and sequence of combination treatments including the distribution of the TRT dose in the body, the decay rate of the radionuclide, and the proliferation and persistence of the CAR-T cells. These characteristics complicate the additive or synergistic effects of combination therapies and warrant a mathematical treatment that includes these dynamics in relation to the proliferation and clearance rates of the target tumor cells. Here, we combine two previously published mathematical models to explore the effects of dose, timing, and sequencing of TRT and CAR-T cell-based therapies in a multiple myeloma setting. We find that, for a fixed TRT and CAR-T cell dose, the tumor proliferation rate is the most important parameter in determining the best timing of TRT and CAR-T therapies.

Prognostic value of tumor-infiltrating lymphocytes in estrogen receptor-positive and human epidermal growth factor receptor 2-negative breast cancer.

Tumor-infiltrating lymphocytes (TILs) are a significant prognostic factor in triple-negative breast cancer. However, the clinicopathological significance of TILs in estrogen receptor (ER)-positive and human epidermal growth factor receptor 2 (HER2)-negative breast cancer remains unclear. The purpose of the present study was to evaluate the role of TILs in the prognosis of ER-positive and HER2-negative breast cancer. A total of 65 consecutive patients with ER-positive and HER2-negative breast cancer were examined. TILs in stromal tissue (str-TILs) were graded using the International TILs Working Group criteria. The association between several clinicopathological factors and TIL grade were investigated, and the prognostic impact of TILs was compared between luminal A-like and luminal B-like breast cancer. A total of 51 patients (78.5%) had low-grade (0-10%), 11 (16.9%) had intermediate (10-40%) and 3 (4.6%) had high-grade (40-90%) str-TIL levels. There was a significant association between high levels of Ki67 expression and a high str-TIL count. Relapse-free survival was significantly worse in patients with luminal B-like cancer compared with that in patients with luminal A-like cancer. Patients with an intermediate or high str-TIL count had a better prognosis compared with those with a low str-TIL count. All patients with luminal B-like cancer and intermediate or high str-TIL levels developed no recurrence during follow-up. In conclusion, there was a significant correlation between high-grade str-TIL levels and high tumor cell proliferation rate, as well as high levels of Ki67 expression.

Set7/9 controls proliferation and genotoxic drug resistance of NSCLC cells

The SET domain containing lysine-specific methyltransferase, Set7/9, covalently attaches methyl moieties to a variety of histone and non-histone substrates. Among the substrates of Set7/9 are: p53, NF-kB, PARP1, E2F1, and other transcription factors that regulate many vital processes in the cell. Through the post-translational regulation of these critical master-regulators Set7/9 is involved in regulation of cell proliferation, cancer progression, and DNA damage response. Noteworthy, the role of Set7/9 in tumorigenesis is contradictory and apparently depends on the cellular context. In this study, we investigated the effect of Set7/9 on tumorigenic characteristics of lung cancer cells. We showed that CRISPR/Cas9-mediated knock-out of Set7/9 in A549 and its shRNA-mediated knock-down in H1299 NSCLC cell lines both augment the proliferation rate of tumor cells compared to the matching wild-type cells. Mechanistically, ablation of Set7/9 increased the expression of cyclin A2 and D1 genes thereby promoting the accumulation of cells in S phase. Furthermore, knockout of Set7/9 decreased the expression of E-cadherin, whose product is critical for cell-cell interactions. Accordingly, this led to the increased migration of lung cancer cells.Finally, both ablation or pharmacological inhibition of Set7/9 enzymatic methyltransferase activity by the selective inhibitor (R)-PFI-2 sensitized NSCLC cells to genotoxic drug, doxorubicin. This effect was also recapitulated on patients-derived NSCLC cell lines. Taken together, our results suggest that Set7/9 plays anti-proliferative and DNA damage-protective roles in NSCLC cells and hence represents an attractive target for anti-cancer chemotherapy.

Discovering the Role of FZD4 Gene in Human Cutaneous Squamous Cell Carcinoma.

Background:Frizzled 4 (FZD4) is an important receptor for Wnt proteins that stimulate several downstream signaling pathways. It has been known that the FZD4–Wnt interaction is involved in many types of cancers. However, the role of FZD4 in cutaneous squamous cell carcinoma (CSCC) has not been well studied.Aims:We sought to investigate the association between FZD4 expression level and tumor cell proliferation and apoptosis rates in CSCC.Methods:Expression of FZD4 at mRNA level in CSCC tissues and controls was measured. Colo16 cell proliferation and viability were measured by CCK-8 assay and flow cytometry respectively after siRNA and plasmid transfection.Results:We discovered a significant downregulation of FZD4 expression in CSCC tissues and cell lines compared to controls. Furthermore, our data suggested that over expression of FZD4 inhibited proliferation and promoted apoptosis of Colo16 cells.Conclusion:The results indicated that FZD4 may play as a tumor suppressor gene in the pathogenesis of CSCC.

Fully Automatic Calibration of Tumor-Growth Models Using a Single mpMRI Scan.

Our objective is the calibration of mathematical tumor growth models from a single multiparametric scan. The target problem is the analysis of preoperative Glioblastoma (GBM) scans. To this end, we present a fully automatic tumor-growth calibration methodology that integrates a single-species reaction-diffusion partial differential equation (PDE) model for tumor progression with multiparametric Magnetic Resonance Imaging (mpMRI) scans to robustly extract patient specific biomarkers i.e., estimates for (i) the tumor cell proliferation rate, (ii) the tumor cell migration rate, and (iii) the original, localized site(s) of tumor initiation. Our method is based on a sparse reconstruction algorithm for the tumor initial location (TIL). This problem is particularly challenging due to nonlinearity, ill-posedeness, and ill conditioning. We propose a coarse-to-fine multi-resolution continuation scheme with parameter decomposition to stabilize the inversion. We demonstrate robustness and practicality of our method by applying the proposed method to clinical data of 206 GBM patients. We analyze the extracted biomarkers and relate tumor origin with patient overall survival by mapping the former into a common atlas space. We present preliminary results that suggest improved accuracy for prediction of patient overall survival when a set of imaging features is augmented with estimated biophysical parameters. All extracted features, tumor initial positions, and biophysical growth parameters are made publicly available for further analysis. To our knowledge, this is the first fully automatic scheme that can handle multifocal tumors and can localize the TIL to a few millimeters.

Pharmacological Inhibition of mTORC2 Reduces Migration and Metastasis in Melanoma.

Despite recent advances in therapy, liver metastasis from melanoma is still associated with poor prognosis. Although targeting the mTOR signaling pathway exerts potent anti-tumor activity, little is known about specific mTORC2 inhibition regarding liver metastasis. Using the novel mTORC2 specific inhibitor JR-AB2-011, we show significantly reduced migration and invasion capacity by impaired activation of MMP2 in melanoma cells. In addition, blockade of mTORC2 induces cell death by non-apoptotic pathways and reduces tumor cell proliferation rate dose-dependently. Furthermore, a significant reduction of liver metastasis was detected in a syngeneic murine metastasis model upon therapy with JR-AB2-011 as determined by in vivo imaging and necropsy. Hence, our study for the first time highlights the impact of the pharmacological blockade of mTORC2 as a potent novel anti-cancer approach for liver metastasis from melanoma.

Impairing activation of phospholipid synthesis by c-Fos interferes with glioblastoma cell proliferation.

Glioblastoma multiforme is the most aggressive type of tumor of the CNS with an overall survival rate of approximately one year. Since this rate has not changed significantly over the last 20 years, the development of new therapeutic strategies for the treatment of these tumors is peremptory. The over-expression of the proto-oncogene c-Fos has been observed in several CNS tumors including glioblastoma multiforme and is usually associated with a poor prognosis. Besides its genomic activity as an AP-1 transcription factor, this protein can also activate phospholipid synthesis by a direct interaction with key enzymes of their metabolic pathways. Given that the amino-terminal portion of c-Fos (c-Fos-NA: amino acids 1-138) associates to but does not activate phospholipid synthesizing enzymes, we evaluated if c-Fos-NA or some shorter derivatives are capable of acting as dominant-negative peptides of the activating capacity of c-Fos. The over-expression or the exogenous administration of c-Fos-NA to cultured T98G cells hampers the interaction between c-Fos and PI4K2A, an enzyme activated by c-Fos. Moreover, it was observed a decrease in tumor cell proliferation rates in vitro and a reduction in tumor growth in vivo when a U87-MG-generated xenograft on nude mice is intratumorally treated with recombinant c-Fos-NA. Importantly, a smaller peptide of 92 amino acids derived from c-Fos-NA retains the capacity to interfere with tumor proliferation in vitro and in vivo. Taken together, these results support the use of the N-terminal portion of c-Fos, or shorter derivatives as a novel therapeutic strategy for the treatment of glioblastoma multiforme.

B7-H6, an immunoligand for the natural killer cell activating receptor NKp30, reveals inhibitory effects on cell proliferation and migration, but not apoptosis, in cervical cancer derived-cell lines

BackgroundAlthough great progress has been made in treatment regimens, cervical cancer remains as one of the most common cancer in women worldwide. Studies focusing on molecules that regulate carcinogenesis may provide potential therapeutic strategies for cervical cancer. B7-H6, an activating immunoligand expressed by several tumor cells, is known to activate NK cell-mediated cytotoxicity once engaged with its natural receptor NKp30. However, the opposite, that is, the effects in the tumor cell triggered by B7-H6 after interacting with NKp30 has not yet been well explored.MethodsIn this study, we evaluated the surface expression of B7-H6 by flow cytometry. Later, we stimulated B7-H6 positive cervical cancer derived-cell lines (HeLa and SiHa) with recombinant soluble NKp30 (sNKp30) protein and evaluated biological effects using the impedance RTCA system for cell proliferation, the scratch method for cell migration, and flow cytometry for apoptosis. Cellular localization of B7-H6 was determined using confocal microscopy.ResultsNotably, we observed that the addition of sNKp30 to the cervical cancer cell lines decreased tumor cell proliferation and migration rate, but had no effect on apoptosis. We also found that B7-H6 is selectively maintained in tumor cell lines, and that efforts to sort and purify B7-H6 negative or positive cells were futile, as negative cells, when cultured, regained the expression of B7-H6 and B7-H6 positive cells, when sorted and cultivated, lost a percentage of B7-H6 expression.ConclusionsOur results suggest that B7-H6 has an important, as of yet undescribed, role in the biology of the cervical tumor cells themselves, suggesting that this protein might be a promising target for anti-tumor therapy in the future.

Integration of transcriptome and cistrome analysis identifies RUNX1-target genes involved in pancreatic cancer proliferation

The extremely high proliferation rate of tumor cells contributes to pancreatic cancer (PC) progression. Runt-related transcription factor 1(RUNX1), a key factor in hematopoiesis that was correlated with tumor progression. However, the role of RUNX1 in PC proliferation was still unclear. We found that RUNX1 was significantly upregulated in PC tissues and its expression was negatively associated with prognosis of PC patients in a multicenter analysis according to immunohistochemical (IHC). RUNX1 downregulation in PC resulted in a significantly reduced cell proliferation rate, which was consistent with in vivo subcutaneous tumor formation assay results. RNA-seq and ChIP-seq results revealed that a portion of target genes, including HAP1, GPRC5B, PTPN21, VHL and EN2, were regulated by RUNX1, a finding successfully validated by ChIP-qPCR, qRT-PCR and Western blot. Subsequently, IHC and proliferation assays showed these target genes to be dysregulated in PC, affecting tumor growth. Our data suggest that RUNX1 plays an oncogenic role in tumor proliferation and is a potential prognostic biomarker and therapeutic target for PC.

Mathematical modelling reveals cellular dynamics within tumour spheroids.

Tumour spheroids are widely used as an in vitro assay for characterising the dynamics and response to treatment of different cancer cell lines. Their popularity is largely due to the reproducible manner in which spheroids grow: the diffusion of nutrients and oxygen from the surrounding culture medium, and their consumption by tumour cells, causes proliferation to be localised at the spheroid boundary. As the spheroid grows, cells at the spheroid centre may become hypoxic and die, forming a necrotic core. The pressure created by the localisation of tumour cell proliferation and death generates an cellular flow of tumour cells from the spheroid rim towards its core. Experiments by Dorie et al. showed that this flow causes inert microspheres to infiltrate into tumour spheroids via advection from the spheroid surface, by adding microbeads to the surface of tumour spheroids and observing the distribution over time. We use an off-lattice hybrid agent-based model to re-assess these experiments and establish the extent to which the spatio-temporal data generated by microspheres can be used to infer kinetic parameters associated with the tumour spheroids that they infiltrate. Variation in these parameters, such as the rate of tumour cell proliferation or sensitivity to hypoxia, can produce spheroids with similar bulk growth dynamics but differing internal compositions (the proportion of the tumour which is proliferating, hypoxic/quiescent and necrotic/nutrient-deficient). We use this model to show that the types of experiment conducted by Dorie et al. could be used to infer spheroid composition and parameters associated with tumour cell lines such as their sensitivity to hypoxia or average rate of proliferation, and note that these observations cannot be conducted within previous continuum models of microbead infiltration into tumour spheroids as they rely on resolving the trajectories of individual microbeads.

Upregulated insulin receptor tyrosine kinase substrate promotes the proliferation of colorectal cancer cells via the bFGF/AKT signaling pathway.

BackgroundSome recent studies on insulin receptor tyrosine kinase substrate (IRTKS) have focused more on its functions in diseases. However, there is a lack of research on the role of IRTKS in carcinomas and its mechanism remains ambiguous. In this study, we aimed to clarify the role and mechanism of IRTKS in the carcinogenesis of colorectal cancer (CRC).MethodsWe analysed the expression of IRTKS in CRC tissues and normal tissues by researching public databases. Cancer tissues and adjacent tissues of 67 CRC patients who had undergone radical resection were collected from our center. Quantitative real-time polymerase chain reaction and immunohistochemistry were performed in 52 and 15 pairs of samples, respectively. In vitro and in vivo experiments were conducted to observe the effect of IRTKS on CRC cells. Gene Set Enrichment Analysis and Metascape platforms were used for functional annotation and enrichment analysis. We detected the protein kinase B (AKT) phosphorylation and cell viability of SW480 transfected with small interfering RNAs (siRNAs) with or without basic fibroblast growth factor (bFGF) through immunoblotting and proliferation assays.ResultsThe expression of IRTKS in CRC tissues was higher than that in adjacent tissues and normal tissues (all P < 0.05). Disease-free survival of patients with high expression was shorter. Overexpression of IRTKS significantly increased the proliferation rate of CRC cells in vitro and the number of tumor xenografts in vivo. The phosphorylation level of AKT in CRC cells transfected with pLVX-IRTKS was higher than that in the control group. Furthermore, siRNA-IRTKS significantly decreased the proliferation rate of tumor cells and the phosphorylation level of AKT induced by bFGF.ConclusionIRTKS mediated the bFGF-induced cell proliferation through the phosphorylation of AKT in CRC cells, which may contribute to tumorigenicity in vivo.

Optimal treatment strategies for delayed cancer-immune system with multiple therapeutic approach

In this article, we propose and analyze an optimal control problem of a delayed tumor-immune model in presence of a multi immuno-chemotherapeutic drug. Local dynamics of drug-free steady states are studied and Hopf-bifurcation is observed with delay bifurcation parameter. By formulating a quadratic control based functional, an optimal control problem is constructed with treatments as control variables. The formulation of the functional is aimed at minimizing the proliferation rate of tumor cells and the detrimental effects of injected drugs. Additionally, maximizing the effector cells and maintaining an attributed level of normal cells are also a priority. By applying Pontryagin’s maximum principle, the sufficient and necessary conditions of optimality system are established. The sensitivity analysis of cost functional is performed with different combinations of control variables. The cost-effectiveness analysis is carried out to determine the most cost-effective strategy. The numerical results verify analytical findings and demonstrate that a multi-therapeutic treatment protocol can alleviate tumor burden within a few months of drug administration.

Mechanism of Telomerase Reverse Transcriptase Regulating Dendritic Cell Immune Function in Proliferation and Cell Cycle of Renal Cell Carcinoma

To select human renal cell carcinoma cell lines VMRC-RCZ After resuscitation, culture and passage, the cell concentration was adjusted to 1 × 106/ml, and the experiment was divided into a control group, a renal cancer cell + DC group (DC group), and a renal cancer cell + DC+ hTERTtransfection group (transfection Group), a total of 3 groups; the recombinant eukaryotic expression plasmid hTERT-IRES2-EGFP was constructed and transfected into mature DC; the renal cancer cell + DC group was transfected with the empty plasmid, and the renal cancer cell + DC+ hTERT transfection group was transfected with the overexpression plasmid The transfection efficiency was detected by RT-PCR method. Cultured for 12 h and 24 h respectively, the percentage of HLA-DR, CD40 and MHC-II molecules in three groups of DC immunophenotypes was determined according to flow cytometry assay, and the cytokines IL-12 and TNF-α expression level, DC apoptosis rate was detected by in situ hybridization, the rate of tumor cell proliferation was measured according to MTT method, and cell cycle was determined through flow cytometry.