Inside Tumor Research Articles

Injectable hydrogel assisted formation of hydroxyl radical generating bioreactor enables photothermally enhanced chemodynamic and immunotherapy

Photothermal therapy and chemodynamic therapy (CDT), two recently invented cancer treatments, have shown to be effective in potentiating immunotherapy through causing immunogenic cancer cell death. The rational integration of these two therapeutic modalities poses a formidable challenge in eliciting robust immunotherapy. Herein, an injectable hydrogel based bioreactor comprising of glucose oxidase (GOx), copper sulfide (CuS) nanoparticles, and poly (ethylene glycol) double acrylate (PEGDA) is prepared to potentiate immune checkpoint blockade (ICB) therapy. GOx can in situ convert glucose to hydrogen peroxide (H2O2) and gluconic acid, the latter of which further promotes the decomposition of H2O2 to hydroxyl radicals by creating an acidic microenvironment to benefit the pH-dependent Fenton-like catalytic reaction of Cu+, particularly in synergizing with near infrared (NIR) light exposure. Such catalytic couple of GOx and CuS together with NIR light exposure is efficient in inducing immunogenic cancer cell death. Additionally, GOx reprogrammed tumor immunosuppressive microenvironment by reducing lactate levels. Upon being fixed inside tumors with PEGDA hydrogel, such in situ formed bioreactor effectively suppresses the growth of 4T1 orthotopic murine breast cancers in Balb/c mice together with 808 nm laser exposure. Furthermore, such bioreactor enabled photothermally enhanced CDT could also synergize with anti-PD-L1 immunotherapy to more effectively suppress the growth of primary tumors and distant tumors. This study highlights that such NIR light and reactive oxygen species dual responsive bioreactor is robust to potentiate ICB immunotherapy.

Strongly quenched activatable theranostic nanogel for precision imaging-guided photodynamic therapy and enhanced immunotherapy

Immune checkpoint inhibitors (ICIs) are innovative immunotherapeutic agents for cancer. However, their low therapeutic efficacy in patients with large or rapidly growing tumors, along with their high cost, represents a notable limitation in their clinical applications. Therefore, new and safe strategies must be developed to enhance the therapeutic efficacy of ICIs in clinical settings. In this study, we developed a near-infrared (NIR) fluorescent dye-loaded activatable theranostic nanogel (NATNgel) for precision imaging-guided photodynamic therapy (PDT) and combined immunotherapy for rapidly growing tumors. Although NIR fluorescence and phototoxicity of NATNgel are strongly quenched, these can be selectively activated inside target tumor cells. A high tumor-to-background ratio (7.31 ± 1.40) in NIR fluorescence imaging could be achieved in NATNgel-treated mice, enabling real-time image-guided PDT. The combination of PDT and anti-PD-1 antibody therapy resulted in complete tumor regression. Histopathological evaluation of major organs and blood chemistry analysis revealed no side effects of the combined treatment regimen. In addition, the combination treatment completely suppressed the growth of rechallenged tumors. Overall, NATNgel is a safe and promising theranostic material for precision imaging-guided PDT and enhanced immunotherapy.

Three‐Pronged Induction of Tumor Calcification Synergistic Calcium Immunotherapy Enables Diagnosis and Cure of Cancer

AbstractTumor calcification is considered to have the superiority of integrating tumor diagnosis and treatment, and it also has been found to be a predictor of favorable prognosis. However, selecting suitable nanocarriers and therapeutic drugs to maximize the tumor calcification efficiency are key factors for improving calcification‐medicated theranostics. This study performs a multi‐channel calcification nanoinitiator (CalNI, i.e., BP‐Cur‐Ca@PKLAK) by loading curcumin (Cur) and depositing Ca2+ on black phosphorus (BP) and combined carrying mitochondria‐targeting cytotoxic peptide KLAK to boost a triple‐induced tumor calcification. CalNI preferentially accumulates inside tumor mitochondria and induces multilevel calcification promotion by the three combined effects of (i) the degradation of BP into PO43− provides the phosphorus source required for calcification; (ii) burst of calcium ions can directly induce cellular calcium overload; (iii) Cur can inhibit calcium efflux thus further aggravate intracellular calcium stress. Moreover, KLAK exhibited enhanced mitochondrial synergistic toxic effects. Notably, the potential function of CalNI on the regulation of macrophage polarization could completely reverse the immunosuppressive microenvironment, and activate the initiation of T cell‐mediated immune response. Therefore, this three‐pronged CalNI showed a huge promise to be an alternative to conventional oncology therapy, which presents a more satisfactory therapeutic efficiency than any kind of single induction mode.

Thermoelectric catalysis overcomes tumour “marginalization” of cytotoxic T-lymphocytes to boost immune checkpoint blockade therapy

Although immune checkpoint blockade (ICB) therapy enhances the tumour recognition of cytotoxic T lymphocytes (CTLs), the limited infiltration of CTLs into the centre of solid tumours significantly restricts the effect of ICB therapy. Herein, we showed that increased tumour interstitial fluid pressure (TIFP) is a critical factor in the tumour “marginalization” of CTLs. Additionally, we utilized a spatiotemporally controllable thermoelectric catalytic nanodrug (BF@M) to decompose water from the tumour interstitial fluid into oxygen, effectively reducing the TIFP and leading to enhanced infiltration of CTLs from the periphery to the interior of the solid tumour. The results revealed that BF@M significantly increased the intratumor infiltration of CTLs in three different tumour-bearing mouse models, with a maximum increase of 18.1 times. Overall, this study highlighted the intrinsic relationship between TIFP and CTLs infiltration and the mechanism underlying the effect of the TIFP, successfully addressing the tumour “marginalization” of CTLs to enhance ICB therapy.

Synergistic Enhancement of Photodynamic Cancer Therapy with Mesenchymal Stem Cells and Theranostic Nanoparticles.

Nanoparticles engineered to combat cancer and other life-threatening diseases may significantly improve patient outcomes. However, inefficient nanoparticle delivery to tumors limits their use and necessitates the development of complex delivery approaches. Here, we examine this issue by harnessing the tumor-homing abilities of human mesenchymal stem cells (MSCs) to deliver a decoupled theranostic complex of rare earth-doped nanoparticles (dNPs) and photosensitizer chlorin e6 (Ce6) to tumors. We show that both bone-marrow- and skin-derived MSCs can transport the dNP-Ce6 complex inside tumor spheroids, which is challenging to accomplish by passive delivery alone. MSCs deliver the dNP-Ce6 complex across the tumor spheroid, facilitating more effective photodynamic damage and tumor destruction than passively accumulated dNP-Ce6. The dNP-Ce6 complex also provides the built-in ability to monitor the MSC migration without causing undesired phototoxicity, which is essential for maximal and side-effect-free delivery of nanoparticles. Our results demonstrate how MSCs can be used as delivery vehicles for the transportation of the dNP-Ce6 complex, addressing the limitations of passive nanoparticle delivery and providing light-based theranostics.

Multifunctional targeting of docetaxel plus bakuchiol micelles in the treatment of invasion and metastasis of ovarian cancer

The invasion and metastasis of tumors pose significant challenges in the treatment of ovarian cancer (OC), making it difficult to cure. One potential treatment approach that has gained attention is the use of matrix metalloproteinase reactive controlled release micelle preparations. In this study, we developed a novel PEG5000-PVGLIG-hyaluronic acid docetaxel/bakuchiol (PP-HA-DTX/BAK) micelles formulation with desirable characteristics such as particle size, narrow polydispersity index, and a ZETA potential of approximately -5 mV. The surface modification with HA facilitates tumor penetration into the tumor interior, while the incorporation of DSPE-PEG2000-PVGLIG-PEG5000helps conceal DSPE-PEG2000-HA, reducing off-target effects and prolonging drug circulation timein vivo. Bothin vitroandin vivoexperiments demonstrated that these micelles effectively inhibit proliferation, invasion, and metastasis of OC cells while promoting apoptosis. Therefore, our findings suggest that PP-HA-DTX/BAK micelles represent a safe and effective therapeutic strategy for treating OC.

Indocyanine green uptake by human tumor and non‑tumor cell lines and tissue.

Indocyanine green (ICG) is a potential promising dye for a better intraoperative tumor border definition and an improved patient outcome by potentially improving tumor border visualization compared with traditional white light guided surgery. Here, the cellular uptake of ICG in human squamous cell carcinoma (SCC026) and immortalized non-cancer skin (HaCaT) cell lines was evaluated to study the tumor-specific cellular uptake of ICG. The spatial distribution of ICG inside tumor tissue was investigated in tissue sections of head and neck squamous cell carcinoma at a microscopic level. ICG uptake and internalization was observed in living cells after 2.5 h and in the nucleus after 24 h. In dead cells, higher and faster uptake was observed. In the tissue sections, higher ICG signal intensity could be detected in connective tissue and surrounding clusters and blood vessels. In conclusion, no distinct ICG uptake by tumor cells was detected in cancer cell lines and tumor tissue. ICG localization in certain regions of tumor tissue appears to be a result of enhanced tissue permeability and retention, but not specific to tumor cells.

Taohong Siwu decoction enhances the chemotherapeutic efficacy of doxorubicin by promoting tumor vascular normalization

BackgroundInstead of completely suppressing blood vessels inside tumors, vascular normalization therapy is proposed to normalize and prune the abnormal vasculature in tumor microenvironment (TME) to acquire a normal and stable blood flow and perfusion. The theoretical basis for the use of “blood-activating and stasis-resolving” formulas in Traditional Chinese Medicine to treat cancer is highly consistent with the principle of vascular normalization therapy, suggesting the potential application of these traditional formulas in vascular normalization therapy. PurposeTo study the underlying mechanisms of a classical “blood-activating and stasis-resolving” formula, Taohong Siwu decoction (TSD), in enhancing the efficacy of chemotherapy for breast cancer treatment. Study designHUVECs and transgenic zebrafish embryos were used as the major model in vitro. A 4T1 mouse breast cancer model was applied to study tumor vasculature normalization of TSD and the combination effects with DOX. ResultsOur data showed that TSD exhibited anti-angiogenic potential in HUVECs and transgenic zebrafish embryos. After 20 days treatment, TSD significantly normalized the tumor vasculature by remodeling vessel structure, reducing intratumoral hypoxia and vessel leakage, and promoting vessel maturation and blood perfusion in 4T1 breast tumor-bearing mice. Moreover, the anti-tumor efficacy of doxorubicin liposome in 4T1 breast tumors was significantly improved by TSD, including the suppression of tumor cell proliferation, angiogenesis, hypoxia, and the increase of cell apoptosis, which is likely through the vascular normalization induced by TSD. TSD also shifted the macrophage polarization from M2 to M1 phenotype in TME during the combination therapy, as evidenced by the reduced number of CD206+ macrophages and increased number of CD86+ macrophages. Additionally, TSD treatment protected against doxorubicin-induced cardiotoxicity in animals, as evidenced by the reduced cardiomyocytes apoptosis and improved heart function. ConclusionThis study demonstrated for the first time that TSD as a classical Chinese formula can enhance the drug efficacy and reduce the side effects of doxorubicin. These findings can support that TSD could be used as an adjuvant therapy in combination with conventional chemotherapy for the future breast cancer treatment.

Classical Monocytes Shuttling for Precise Delivery of Nanotherapeutics to Glioblastoma.

Glioblastoma (GBM) is the most aggressive brain tumor for which current therapies have limited efficacy. Immunosuppression and difficulties in accessing tumors with therapeutic agents are major obstacles for GBM treatments. Classical monocytes (CMs) possess the strongest infiltration among myeloid cells recruited into tumors during tumorigenesis. In this study, CMs are utilized to deliver the small-molecule CUDC-907 encapsulated in nanoparticles (907-NPs@CMs) for GBM therapy. Hitchhiking on CMs enables more 907-NPs to successfully penetrate the blood-brain barrier (BBB) and reach the interior of tumors. Results demonstrate that 907-NPs@CMs significantly improve the survival rates by suppressing tumor growth and reversing the immunosuppression of tumor microenvironment (TME). Furthermore, the high delivery efficiency of CMs reduces the amount of CUDC-907 required for treatments, reducing the physiological toxicity and off-target effects caused by high doses. 907-NPs@CMs is a safe and versatile therapeutic system that provides a platform for targeted drug delivery to tumors and the ability to treat GBM through a combination of chemotherapy and immunotherapy.

Robust localization of poorly visible tumor in fiducial free stereotactic body radiation therapy

Background and purposeEffective respiratory motion management reduces healthy tissue toxicity and ensures sufficient dose delivery to lung cancer cells in pulmonary stereotactic body radiation therapy (SBRT) with high fractional doses. An articulated robotic arm paired with an X-ray imaging system is designed for real-time motion-tracking (RTMT) dose delivery. However, small tumors (<15 mm) or tumors at challenging locations may not be visible in the X-ray images, disqualifying patients with such tumors from RTMT dose delivery unless fiducials are implanted via an invasive procedure. To track these practically invisible lung tumors in SBRT, we hereby develop a deep learning-enabled template-free tracking framework, SAFE Track. MethodsSAFE Track is a fully supervised framework that trains a generalizable prior for template-free target localization. Two sub-stages are incorporated in SAFE Track, including the initial pretraining on two large-scale medical image datasets (DeepLesion and Node21) followed by fine-tuning on our in-house dataset. A two-stage detector, Faster R-CNN, with a backbone of ResNet50, was selected as our detection network. 94 patients (415 fractions; 40,348 total frames) with low tumor visibility who thus had implanted fiducials were included. The cohort is categorized by the longest dimension of the tumor (<10 mm, 10–15 mm and > 15 mm). The patients were split into training (n = 66) and testing (n = 28) sets. We simulated fiducial-free tumors by removing the fiducials from the X-ray images. We classified the patients into two groups – fiducial implanted inside tumors and implanted outside tumors. To ensure the rigor of our experiment design, we only conducted fiducial removal simulation in training patients and utilized patients with fiducial implanted outside of the tumors for testing. Commercial Xsight Lung Tracking (XLT) and a Deep Match were included for comparison. ResultsSAFE Track achieves promising outcomes to as accurate as 1.23±1.32 mm 3D distance in testing patients with tumor size > 15 mm where Deep Match is at 4.75±1.67 mm and XLT is at 12.23±4.58 mm 3D distance. Even for the most challenging tumor size (<10 mm), SAFE Track maintains its robustness at 1.82 plus or minus 1.67 mm 3D distance, where Deep Match is at 5.32 plus or minus 2.32 mm, and XLT is at 24.83±12.95 mm 3D distance. Moreover, SAFE Track can detect some considerably challenging cases where the tumor is almost invisible or overlapped with dense anatomies. ConclusionSAFE Track is a robust, clinically compatible, fiducial-free, and template-free tracking framework that is applicable to patients with small tumors or tumors obscured by overlapped anatomies in SBRT.

A Simple Binary Supramolecular Co-Assembly Platform for Enhanced Tumor Imaging and Therapy.

The primary challenges in tumor imaging and therapy revolve around improving targeting efficiency, enhancing probe/drug delivery efficacy, and minimizing off-target signals and toxicity. Although various carriers have been developed, many are difficult to synthesize, costly, and not universally applicable. Furthermore, numerous carriers exhibit limited delivery rates in solid tumors, particularly larger nanocarriers. To address these challenges, a simple binary co-assembly drug delivery platform has been designed using the readily synthesized small molecule Cys(SEt)-Lys-CBT (CKCBT) as the self-assembly building block. CKCBT can effectively penetrate tumor cells due to its positively charged Lys side chain and small size. Upon glutathione reduction, CKCBT co-assembles with Nile red or Chlorin e6 to form nanofibers inside tumor cells. This enables their specific accumulation in tumor cells rather than normal cells and extends their exposure time, resulting in precise and enhanced tumor imaging and treatment. Hence, this uncomplicated and highly efficient binary co-assembly drug delivery platform can be easily adapted to a broad spectrum of probes and drugs, presenting a novel approach for advancing clinical diagnosis and therapy.

Magnetically actuated cisplatin-loaded nanoparticle collectives enhance drug penetration for potentiated ovarian cancer chemotherapy

Chemotherapy is the main clinical treatment for ovarian cancer, but still faces challenges of low drug targeting efficiency and insufficient drug permeability. Drug-loaded nanoparticle collectives, which are actuated by magnetic field, could be targeted to a designated location and achieve targeted drug delivery. In this work, we report a strategy that utilizes magnetic mesoporous silica nanoparticles loaded with cis-diaminodichloroplatinum (Fe3O4@SiO2-CDDP) for targeted delivery of chemotherapeutic drugs and enhances penetration into deep tumors. The Fe3O4@SiO2-CDDP collectives actively moved to the target tumor site, and this movement was regulated by a magnetic actuation system. Under the action of a torque-force hybrid magnetic field (TFMF), Fe3O4@SiO2-CDDP could further penetrate into the interior of tumors and achieve pH-responsive drug release in the tumor environment. The feasibility of this strategy was verified in three-dimensional cell spheres in vitro and in a tumor-bearing mouse model in vivo. This magnetically actuated nanoparticle collectives enhanced drug penetration strategy provides a new paradigm for targeted drug delivery and potentiated tumor therapy.

TEAM: Triangular-mEsh Adaptive and Multiscale proton spot generation method.

Proton therapy is preferred for its dose conformality to spare normal tissues and organs-at-risk (OAR) via Bragg peaks with negligible exit dose. However, proton dose conformality can be further optimized: (1) the spot placement is based on the structured (e.g., Cartesian) grid, which may not offer conformal shaping to complex tumor targets; (2) the spot sampling pattern is uniform, which may be insufficient at the tumor boundary to provide the sharp dose falloff, and at the same time may be redundant at the tumor interior to provide the uniform dose coverage, for example, due to multiple Coulomb scattering (MCS); and (3) the lateral spot penumbra increases with respect to the depth due to MCS, which blurs the lateral dose falloff. On the other hand, while (1) the deliverable spots are subject to the minimum-monitor-unit (MMU) constraint, and (2) the dose rate is proportional to the MMU threshold, the current spot sampling method is sensitive to the MMU threshold and can fail to provide satisfactory plan quality for a large MMU threshold (i.e., high-dose-rate delivery). This work will develop a novel Triangular-mEsh-based Adaptive and Multiscale (TEAM) proton spot generation method to address these issues for optimizing proton dose conformality and plan delivery efficiency. Compared to the standard clinically-used spot placement method, three key elements of TEAM are as follows: (1) a triangular mesh instead of a structured grid: the triangular mesh is geometrically more conformal to complex target shapes and therefore more efficient and accurate for dose shaping inside and around the target; (2) adaptive sampling instead of uniform sampling: the adaptive sampling consists of relatively dense sampling at the tumor boundary to create the sharp dose falloff, which is more accurate, and coarse sampling at the tumor interior to uniformly cover the target, which is more efficient; and (3) depth-dependent sampling instead of depth-independent sampling: the depth-dependent sampling is used to compensate for MCS, that is, with increasingly dense sampling at the tumor boundary to improve dose shaping accuracy, and increasingly coarse sampling at the tumor interior to improve dose shaping efficiency, as the depth increases. In the TEAM method the spot locations are generated for each energy layer and layer-by-layer in the multiscale fashion; and then the spot weights are derived by solving the IMPT problem of dose-volume planning objectives, MMU constraints, and robustness optimization with respect to range and setup uncertainties. Compared to the standard clinically-used spot placement method UNIFORM, TEAM achieved (1) better plan quality using <60% number of spots of UNIFORM; (2) better robustness to the number of spots; (3) better robustness to a large MMU threshold. Furthermore, TEAM provided better plan quality with fewer spots than other adaptive methods (Cartesian-grid or triangular-mesh). A novel triangular-mesh-based proton spot placement method called TEAM is proposed, and it is demonstrated to improve plan quality, robustness to the number of spots, and robustness to the MMU threshold, compared to the clinically-used spot placement method and other adaptive methods.

Lymphocyte Infiltration Score and Spatial Characteristics Refined the Prognosis and Denosumab Treatment Responsiveness Indicators for Giant Cell Tumor of Bone.

The prognostic value of lymphocyte infiltration score (LIS) and its nearest neighbor distance to tumor cells (NNDTC) in giant cell tumor of bone (GCTB) is currently not well established. This study aims to characterize LIS and NNDTC and examine their correlation with denosumab treatment responsiveness, clinicopathologic features, and patient prognosis. Using multiplexed quantitative immunofluorescence, LIS was evaluated in 253 tumor specimens, whereas NNDTC was computed using HALO software. Subsequently, we analyzed the association of these parameters with patient outcomes (progression-free survival [PFS] and overall survival [OS]), clinicopathologic features, and denosumab treatment responsiveness. Low LIS was indicative of both poor PFS and OS (both P < .001). In addition, LIS was significantly associated with sex (P = .046), Enneking staging (P < .001), Ki-67 expression (P = .007), and denosumab treatment responsiveness (P = .005). Lower CD8+ (tumor interior [TI]) NNDTC, and CD3+ (TI) NNDTC were associated with worse PFS (P = .003 and .038, respectively), whereas lower CD8+ (TI) NNDTC was associated with worse OS (P = .001), but CD8+ (tumor infiltrating margin) NNDTC had the opposite effect (P = .002). Moreover, NNDTC showed a correlation with several clinicopathologic features. Importantly, LIS outperformed Enneking and Campanacci staging systems in predicting the clinical outcomes of GCTB. These findings suggest that LIS is a reliable predictive tool for clinically relevant outcomes and response to denosumab therapy in patients with GCTB. These parameters may prove to be useful in guiding prognostic risk stratification and therapeutic optimization for patients.

Engineered CAR-NK Cells with Tolerance to H2O2 and Hypoxia Can Suppress Postoperative Relapse of Triple-Negative Breast Cancers.

Surgical resection is a primary treatment option for patients with triple-negative breast cancer (TNBC), but it is associated with a high rate of postoperative local and metastatic relapse. Although chimeric antigen receptor-engineered NK (CAR-NK) cell therapy can specifically recognize and eradicate tumor cells, its therapeutic potency toward TNBCs is markedly suppressed by the hostile tumor microenvironment, which restricts the infiltration, survival, and effector functions of CAR-NK cells inside tumor masses. In this study, HER1-overexpressing TNBC-targeted CAR-NK (HER1-CAR-NK) cells were genetically engineered with catalase to endow them with tolerance toward the high levels of oxidative stress and hypoxia inside TNBC tumors through the catalytic decomposition of hydrogen peroxide, which is a principle reactive oxygen species inside tumors, into O2. We refer to these cells as HER1-CAR-CAT-NK cells. Upon intratumoral fixation with an injectable alginate hydrogel, HER1-CAR-CAT-NK cells enabled sustained tumor hypoxia attenuation and exhibited markedly enhanced persistence and effector functions inside TNBC tumors. As a result, locoregional HER1-CAR-CAT-NK cell therapy not only inhibited the growth of local primary residual tumors but also elicited systemic antitumor activity to suppress the growth of distant tumors. This study highlights that genetic engineering of HER1-CAR-NK cells with catalase is a promising strategy to suppress the postoperative local and distant relapse of TNBC tumors.

Robust brain tumor detection and classification via multi-technique image analysis

Accurate detection and classification of brain tumors play a critical role in neurological diagnosis and treatment.Proposed work developed a sophisticated technique to precisely identify and classify brain neoplasms in medical imaging. Our approach integrates various techniques, including Otsu’s thresholding, anisotropic diffusion, modified 3-category Fuzzy C-Means (FCM) for segmentation after skull stripping and wavelet transformation for post-processing for segmentation, and Convolution neural networks for classification. This approach not only recognizes that discriminating healthy brain tissue from tumor-affected areas is challenging, yet it also focuses on finding abnormalities inside brain tumors and early detection of tiny tumor structures. Initial preprocessing stages improve the visibility of images and the identification of various regions while accurately classifying tumor locations into core, edema, and enhancing regions by segmentation as well. Ultimately, these segmented zones are refined using wavelet transforms, which remove noise and improve feature extraction. Our CNN architecture uses learned abstractions to distinguish between healthy and malignant regions, ensuring robust classification. It is particularly good at identifying tiny tumors and detecting anomalies inside tumor regions, which provides substantial advances in accurate tumor detection. Comprehensive hypothetical evaluations validate its efficacy, which could improve clinical diagnostics and perhaps influence brain tumor research and treatment approaches.

The m6A-independent role of epitranscriptomic factors in cancer.

Protein function alteration and protein mislocalization are cancer hallmarks that drive oncogenesis. N6-methyladenosine (m6A) deposition mediated by METTL3, METTL16, and METTL5 together with the contribution of additional subunits of the m6A system, has shown a dramatic impact on cancer development. However, the cellular localization of m6A proteins inside tumor cells has been little studied so far. Interestingly, recent evidence indicates that m6A methyltransferases are not always confined to the nucleus, suggesting that epitranscriptomic factors may also have multiple oncogenic roles beyond m6A that still represent an unexplored field. To date novel epigenetic drugs targeting m6A modifiers, such as METTL3 inhibitors, are entering into clinical trials, therefore, the study of the potential onco-properties of m6A effectors beyond m6A is required. Here we will provide an overview of methylation-independent functions of the m6A players in cancer, describing the molecular mechanisms involved and the future implications for therapeutics.

Inside Back Cover: Twins‐like nanodrugs synchronously transport in blood and coalesce inside tumors for sensitive ultrasound imaging and triggerable penetrative drug delivery

Inside Back Cover: Twins‐like nanodrugs synchronously transport in blood and coalesce inside tumors for sensitive ultrasound imaging and triggerable penetrative drug delivery

Preclinical analysis of the efficacy of near-infrared photoimmunotherapy and anti-PD-1 antibody combination therapy for treating CD73-positive lung cancer.

e14521 Background: The CD73/adenosine pathway, which converts extracellular ATP to adenosine, is emerging as a promising target for immunotherapy in various cancers. In the tumor microenvironment, hypoxia triggers upregulation of adenosine-activating molecules, including CD73, a membrane-anchored enzyme expressed on cancer cells. CD73 induces the expression of PD-1 and CTLA4, and all of this leads to immunosuppression. Therefore, we focused utilizing near-infrared photoimmunotherapy (NIR-PIT) to kill CD73-expressing cells and alleviate immunosuppression. NIR-PIT is an innovative cancer treatment approach which involves irradiating NIR light after the administrated antibody-photosensitizer conjugate binds to the target cells. Methods: In vitro, anti-CD73 antibody-IR700 conjugate was prepared and added to the CMT167 and LLC cell lines, which were irradiated with NIR light under a microscope. In vivo, a mouse model was established using the CMT167 cell line. The mice were divided into 6 groups: 1) NIR-PIT group against CD73; 2) anti-PD-1 antibody group; 3) combined treatment group of 1) and 2); 4) control group; 5) anti-CD73 antibody-IR700 conjugate group; and 6) near-infrared light irradiation group. Tumor volume and survival rate were compared among these groups. Additionally, after 2 weeks of treatment, tumors in the four groups 1) to 4) above were pathologically evaluated using two different AI-equipped software programs. Results: Microscope observation revealed that NIR-PIT induced immunogenic cell death of CD73-positive mouse lung cancer cell lines in vitro. In vivo, the effect of NIR-PIT on this mouse model was also demonstrated. Although previous studies have shown the efficacy of treatment with anti-CD73 antibodies, the present study compared the CD73-IR700 conjugate group to the NIR-PIT to CD73 group, and the latter group showed better therapeutic outcomes. Additionally, the combined treatment group displayed the highest anti-tumor efficacy in terms of survival and tumor volume. Pathological evaluation of the tumor interior showed a significant increase in tumor-infiltrating lymphocytes compared to the other groups. Additionally, the percentage of tumor cells was significantly reduced, while the percentage of stroma, including fibrous tissue, was significantly increased. In line with other studies that have already reported the additive effect of combination therapy with anti-CD73 antibodies and immune checkpoint inhibitors, the present study showed that the combination therapy resulted in further activation of immune cells and enhanced the therapeutic effect. Conclusions: CD73 represents a promising target for NIR-PIT, with potential for enhanced effectiveness when used in combination with immune checkpoint inhibitors.

DNA-damage RBE assessment for combined boron and gadolinium neutron capture therapy.

Neutron capture therapy (NCT) by 10B and 157Gd agents is a unique irradiation-based method which can be used to treat brain tumors. Current study aims to quantitatively evaluate the relative biological effectiveness (RBE) and dose distributions during the combined BNCT and GdNCT modalities through a hybrid Monte Carlo (MC) simulation approach. Snyder head phantom as well as a cubic hypothetical tumor was at first modeled by Geant4 MC Code. Then, the energy spectra and dose distribution relevant to the released secondary particles during the combined Gd/BNCT were scored for different concentrations of 157Gd and 10B inside tumor volume. Finally, the scored energy spectra were imported to the MCDS code to estimate both RBESSB and RBEDSB values for different 157Gd concentrations. The results showed that combined Gd/BNCT increases the fluence-averaged RBESSB values by about 1.7 times when 157Gd concentration increments from 0 to 2000µg/g for both considered cell oxygen levels (pO2=10% and 100%). Besides, a reduction of about 26% was found for fluence-averaged RBEDSB values with an increment of 157Gd concentration in tumor volume. From the results, it can be concluded that combined Gd/BNCT technique can improve tumor coverage with higher dose levels but in the expense of RBEDSB reduction which can affect the clinical efficacy of the NCT technique.