Types Of Solid Tumors Research Articles

3DGAUnet: 3D Generative Adversarial Networks with a 3D U-Net Based Generator to Achieve the Accurate and Effective Synthesis of Clinical Tumor Image Data for Pancreatic Cancer

Pancreatic ductal adenocarcinoma (PDAC) presents a critical global health challenge, and early detection is crucial for improving the 5-year survival rate. Recent medical imaging and computational algorithm advances offer potential solutions for early diagnosis. Deep learning, particularly in the form of convolutional neural networks (CNNs), has demonstrated success in medical image analysis tasks, including classification and segmentation. However, the limited availability of clinical data for training purposes continues to represent a significant obstacle. Data augmentation, generative adversarial networks (GANs), and cross-validation are potential techniques to address this limitation and improve model performance, but effective solutions are still rare for 3D PDAC, where the contrast is especially poor, owing to the high heterogeneity in both tumor and background tissues. In this study, we developed a new GAN-based model, named 3DGAUnet, for generating realistic 3D CT images of PDAC tumors and pancreatic tissue, which can generate the inter-slice connection data that the existing 2D CT image synthesis models lack. The transition to 3D models allowed the preservation of contextual information from adjacent slices, improving efficiency and accuracy, especially for the poor-contrast challenging case of PDAC. PDAC’s challenging characteristics, such as an iso-attenuating or hypodense appearance and lack of well-defined margins, make tumor shape and texture learning challenging. To overcome these challenges and improve the performance of 3D GAN models, our innovation was to develop a 3D U-Net architecture for the generator, to improve shape and texture learning for PDAC tumors and pancreatic tissue. Thorough examination and validation across many datasets were conducted on the developed 3D GAN model, to ascertain the efficacy and applicability of the model in clinical contexts. Our approach offers a promising path for tackling the urgent requirement for creative and synergistic methods to combat PDAC. The development of this GAN-based model has the potential to alleviate data scarcity issues, elevate the quality of synthesized data, and thereby facilitate the progression of deep learning models, to enhance the accuracy and early detection of PDAC tumors, which could profoundly impact patient outcomes. Furthermore, the model has the potential to be adapted to other types of solid tumors, hence making significant contributions to the field of medical imaging in terms of image processing models.

Immunoneoadjuvant therapy with immune checkpoint inhibitors of gastric cancer: an emerging exemplification : Immunoneoadjuvant therapy of gastric cancer.

Advances in immune checkpoint inhibitors (ICIs) have enabled more effective treatment for individuals with various types of solid tumors. Given the improved survival benefit and acceptable safety profile of ICIs in advanced gastric cancer, there is plenty of interest in the use of ICIs in the neoadjuvant setting with curative intent. Theoretically, immunoneoadjuvant with ICIs could boost the levels of endogenous tumor antigen present in the tumor to enhance T-cell priming and further enhance systemic immunity. This systemic immune response may improve the detection and elimination of the disseminated micrometastatic tumors beyond the resected tumor, which are sources of postsurgical relapse. Numerous clinical studies have begun to explore the application of ICIs in neoadjuvant treatment of gastric cancer. This article reviews the progress in the use of ICI monotherapy and in combination with alternative therapies for the treatment of gastric cancer to aid in the development of gastric cancer immunoneoadjuvant therapy and improve the overall therapeutic benefit.

Conformationally constrained potent inhibitors for enhancer of zeste homolog 2 (EZH2)

The enhancer of zeste homolog 2 (EZH2) plays the role of the main catalytic subunit of polycomb repressive complex 2 (PRC2) that catalyzes the methylation of histone H3 lysine 27 (H3K27). Overexpression or mutation of EZH2 has been observed in many types of hematologic malignancies and solid tumors, such as myeloma, lymphoma, prostate, breast, kidney, and lung cancers. EZH2 has been demonstrated as a promising therapeutic target for the treatment of tumors. Based on the structure of 1 (EPZ-6438), a series of novel conformationally constrained derivatives were designed and synthesized aiming to improve the EZH2 inhibition activity, especially for mutated EZH2. Structure and activity relationship (SAR) exploration and optimization at both enzymatic and cellular levels led to the discovery of 28. In vitro, 28 displayed potent EZH2 inhibition activity with an IC50 value of 0.95 nM, which is comparable to EPZ-6438 (1). 28 exhibited high anti-proliferation activity against different lymphoma cell lines including WSU-DLCL2, Pfeiffer and Karpas-422 (IC50 = 2.36, 1.73, and 1.82 nM, respectively). In vivo, 28 showed acceptable pharmacokinetic characteristics (oral bioavailability F = 36.9%) and better efficacy than 1 in both Pfeiffer and Karpas-422 xenograft mouse models, suggesting that it can be further developed as a potential therapeutic candidate for EZH2-associated cancers.

The Prognostic Value of Platelet-Lymphocyte Ratio, Neutrophil-Lymphocyte Ratio, and Monocyte-Lymphocyte Ratio in Head and Neck Squamous Cell Carcinoma (HNSCC)-A Retrospective Single Center Study and a Literature Review.

Neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and pallets-to-lymphocyte ratio (PLR) are currently validated as cheap and accessible biomarkers in different types of solid tumors, including head and neck cancers (HNC). To evaluate the possible purposes and biomarker value of NLR, PLR, and MLR recorded pre-treatment (radiotherapy/chemotherapy) in HNC. From 190 patients with HNC included in the oncology records in the oncology outpatient clinic of the Craiova County Emergency Hospital (from January 2002 to December 2022), 39 cases met the inclusion criteria (squamous cell carcinoma and the possibility to calculate the pre-treatment (chemotherapy/radiotherapy) value of NLR, PLR, and MLR. Overall survival (OS) values were correlated with NLR, PLR, and MLR. The median values for NLR, PLR, and MLR were 6.15 (1.24-69), 200.79 (61.3-1775.0), and 0.53 (0.12-5.5), respectively. In the study, the mean values for NLR, PLR, and MLR of 2.88, 142.97, and 0.36, respectively, were obtained. The median OS in the study group was 11 months (1-120). Although a negative Pearson's correlation was present, the relationship between the variables was only weak, with values of R = 0.07, p = 0.67, R = 0.02, p = 0.31, and R = 0.07, p = 0.62 being related to NLR, PLR, and MLR, respectively, in correlation with OS. The median values of NLR, PLR, and MLR were calculated (1.53, 90.32, and 0.18, respectively) for the HNC cases with pre-treatment values of NLR < 2 and for the HNC cases with NLR values ≥ 6 (23.5, 232.78, and 0.79, respectively). The median OS for cases with NLR < 2 and NLR ≥ 6 were 17.4 and 13 months, respectively. The comparative analysis of the data highlights a benefit to OS for cases low values of NLR. The role of not only borderline NLR values (between 2 and 6) as a prognostic marker in HNSCC but also the inclusion of PLR and MLR in a prognostic score must also be defined in the future. Prospective studies with more uniformly selected inclusion criteria could demonstrate the value of pre-treatment NLR, PLR, and MLR for treatment stratification through the intensification or de-escalation of non-surgical curative treatment in HNSCC.

Prior Anti-Angiogenic TKI-Based Treatment as Potential Predisposing Factor to Nivolumab-Mediated Recurrent Thyroid Disorder Adverse Events in mRCC Patients: A Case Series.

Immune checkpoint inhibitors (ICIs) targeting programmed cell death 1 (PD-1) or its ligand 1 (PD-L1) have revolutionized the management of many types of solid tumors, including metastatic renal cell carcinoma (mRCC). Both sequential and combinatorial therapeutic strategies utilizing anti-PD-1 monoclonal antibodies (mAbs) and anti-angiogenic tyrosine kinase inhibitors (TKIs) have demonstrated to improve the survival of patients with mRCC as compared to standard therapies. On the other hand, both ICIs and TKIs are well known to potentially cause thyroid disorder adverse events (TDAEs). However, in the context of sequential therapeutic strategy, it is not clear whether prior anti-angiogenic TKI may increase the risk and/or the severity of ICI-related TDAEs. In this work, by describing and analyzing a case series of mRCC patients treated sequentially with prior TKIs and then with ICIs, we investigated the role of prior anti-angiogenic TKI-based treatment as a potential predisposing factor to anti-PD-1-mediated recurrent TDAEs, as well as its potential impact on the clinical characteristics of nivolumab-mediated recurrent TDAEs. Fifty mRCC patients were included in the analysis. TKI-mediated TDAEs were reported in ten out of fifty patients. TKI-mediated TDAEs were characterized by hypothyroidism in all ten patients. Specifically, 40%, 40% and 20% of patients presented grade 1, 2 and 3 hypothyroidisms, respectively. Following tumor progression and during anti-PD-1 nivolumab treatment, five out of ten patients developed anti-PD-1 nivolumab-mediated recurrent TDAEs. Anti-PD-1 nivolumab-mediated recurrent TDAEs were characterized by an early transient phase of thyrotoxicosis and a late phase of hypothyroidism in all five patients. The TDAEs were grade 1 and 2 in four and one patients, respectively. Prior anti-angiogenic TKI did not modify the clinical characteristics of nivolumab-mediated recurrent TDAEs. However, all five patients required an increased dosage of levothyroxine replacement therapy. In conclusion, our work suggests that prior anti-angiogenic TKI-based treatment significantly increases the risk of ICI-mediated recurrent TDAEs in patients with mRCC without modifying their clinical characteristics. The most relevant effect for these patients is the need to increase the dosage of lifelong levothyroxine replacement therapy.

Predicting PD-L1 Status in Solid Tumors Using Transcriptomic Data and Artificial Intelligence Algorithms

Programmed death ligand-1 (PD-L1) immunohistochemistry (IHC) is routinely used to predict the clinical response to immune checkpoint inhibitors (ICIs); however, multiple assays and antibodies have been used. This study aimed to evaluate the potential of targeted transcriptome and artificial intelligence (AI) to determine PD-L1 RNA expression levels and predict the ICI response compared with traditional IHC. RNA from 396 solid tumors samples was sequenced using next-generation sequencing (NGS) with a targeted 1408-gene panel. RNA expression and PD-L1 IHC were assessed across a broad range of PD-L1 expression levels. AI was used to predict the PD-L1 status. PD-L1 RNA levels assessed by NGS demonstrated robust linearity across high and low expression ranges, and those assessed using NGS and IHC (tumor proportion score and tumor-infiltrating immune cells) had a similar pattern. RNA sequencing provided in-depth information on the tumor microenvironment and immune response, including CD19, CD22, CD8A, CTLA4, and PD-L2 expression status. Subanalyses showed a sustained correlation of mRNA expression with IHC (tumor proportion score and immune cells) across different solid tumor types. Machine learning showed high accuracy in predicting PD-L1 status, with the area under the curve varying between 0.83 and 0.91. Targeted transcriptome sequencing combined with AI is highly useful for predicting PD-L1 status. Measuring PD-L1 mRNA expression by NGS is comparable to measuring PD-L1 expression by IHC for predicting ICI response. RNA expression has the added advantages of being amenable to standardization and avoiding interpretation bias, along with an in-depth evaluation of the tumor microenvironment.

Pre-Clinical Evaluation of a New-Generation Orally Bioavailable Dual Bcl-2/Bcl-Xl Inhibitor LP-118 in Mantle Cell Lymphoma

Introduction Mantle cell lymphoma (MCL) is an aggressive form of non-Hopkins lymphoma with poor prognosis. The current frontline therapy of MCL is immunochemotherapy. For relapsed and refractory MCL, BTK inhibitor (BTKi) has become the standard of care, however, relapse is common after treatment with BTKi. Therefore, novel treatments with different mechanisms of action are needed for MCL patients. LP-118 is a new generation dual Bcl-2/Bcl-xL inhibitor with potent activity against wildtype and mutant Bcl-2 and moderate activity against Bcl-xL, and it is currently in Phase 1 clinical trials for multiple types of hematological cancers and solid tumors. In this study, we evaluated the preclinical activity of LP-118 in two MCL cell lines, REC-1 and Granta519, in vitro and in vivo. We also screened multiple combinations of LP-118 plus chemotherapeutic or targeted agents, in order to explore the optimal drug combinations for MCL treatment. Methods In vitro cell viability assay was performed with CellTiterGlo method in MCL cell lines REC-1 and Granta519 to examine cellular activity of LP-118. To determine the synergy of the combinations of LP-118 with standard of care agents, matrix combinations were performed with different concentrations of LP-118 and different drugs including vincristine, bendamustine, cytarabine, docetaxel, doxorubicin, cisplatin, and bortezomib. The data were analyzed using SynergyFinder (2.0), an online program for synergy scores. For in vivo experiments, Granta519 and REC-1-derived xenograft models were established and treated with different regimens: for Granta519 model, mice were treated with vehicle, BR (bendamustine, 25mg/kg, iv, day 1 and rituximab, 10mg/kg, iv, day 1), LP-118 (75mg/kg, po, qd, 28 days) in combination with BR. For REC-1 models, mice were treated with vehicle, LP-118 (50mg/kg, po, qd, 28 days) plus a BTK inhibitor LP-168 (25mg/kg, po, bid, 28 days), or ABT-199 (50mg/kg, po, qd, 28 days) plus ibrutinib (25mg/kg, po, qd,13 days, then bid, 28 days), and tumor growth/remission were examined to determine the in vivo anticancer activity. Results LP-118 is highly active in cell viability assays with Granta519 and REC-1 cells, with IC 50 of 0.6 nM and 1.96 nM, respectively. And compared to venetoclax, LP-118 is 8 to18 times more potent in REC-1 and Granta519 cells. In the matrix combination studies with REC-1 cells, combinations of LP-118 with SOC agents showed synergistic anticancer effects with all the tested drugs, including vincristine, bendamustine, cytarabine, docetaxel, doxorubicin, cisplatin, and bortezomib. Moreover, the combination of LP-118 with BR induced complete tumor regression of Grana519 xenografts in all mice (7/7) at day 45 with no significant body weight changes, whereas no complete tumor regression was observed in the BR group, indicating that combination of LP-118 with BR was more effective than the treatment with BR alone. Similarly, the combination of LP-118 with LP-168 (BTKi) also resulted in complete tumor regression in REC-1 xenograft models at day 40, while the combination of ABT-199 plus ibrutinib showed no significant tumor growth inhibition, suggesting that combination of LP-118 and LP-168, a new generation BTKi currently also in clinical trial, might be more effective against MCL than the combination of ABT-199 plus ibrutinib in clinic. Conclusion LP-118 showed encouraging anti-MCL activity as single agent and in combination with standard of care agents in vitro and in vivo, warranting further evaluation of these combinations in clinical trials.

Quantifying the impact of immunotherapy on RNA dynamics in cancer

BackgroundCheckpoint inhibitor (CPI) immunotherapies have provided durable clinical responses across a range of solid tumor types for some patients with cancer. Nonetheless, response rates to CPI vary greatly between cancer...

Implementing a high-reliability, system-wide program for pre-emptive DPD deficiency testing for patients planned for a systemic fluoropyrimidine.

396 Background: Systemic fluoropyrimidine indications span several solid tumor types including gastrointestinal, breast, and head and neck malignancies. Dihydropyrimidine dehydrogenase (DPD) is the primary enzyme involved in fluoropyrimidine metabolism. Pathogenic polymorphisms of the gene encoding DPD (DPYD), occur at a rate of 4-7% and correlate with DPD enzyme deficiency. Failure to detect patients with DPD deficiency, and adjust the dosage preemptively, may result in severe toxicity, including death. Methods: Between December 2022 and May 2023, Dana-Farber Cancer Institute (DFCI) implemented a program across all sites of care to simplify and standardize preemptive DPYD testing for patient planned for a systemic fluoropyrimidine. The opt-out program includes an automated alert recommending DPYD testing when an oncologist orders a new regimen containing either 5FU or capecitabine, education for providers, pharmacists and nurses, patient education materials, standardized tracking of pending results, closed loop notification of providers of abnormal test results, dose adjustment guidelines, and patient tracking. DPYD allelic variants tested: *2A, *7, *8, *10, *13, rs67376798, rs75017182, rs115232898. Results: DPYD testing has increased from a baseline of 14% to 89%. Abnormal DPYD activity (score &lt;2) has been detected in 5.1% of cases (28 of 553). 23 tests were performed preemptively and 5 reactively (all 5 after &gt; grade 3 toxicity events). 27 cases had a single abnormal allele (activity score 1.5 or 1.0); a single case had 2 abnormal alleles (homozygous for rs75017182). Among 11 of the original 23 preemptively tested patients who continued fluoropyrimidine treatment at our facility, standardized dosage reductions were successfully applied for 10 (90.9%). None have experienced &gt; grade 3 toxicity and subsequent dose escalation was possible for 5 (45.5%) patients. Conclusions: We have implemented a voluntary approach to facilitate routine preemptive DPYD testing for patients planned for a systemic fluoropyrimidine achieving an 89% usage rate. 28 of 553 (5.1%) patients were found to have at least a single allelic variant. Preemptive dose reductions were successfully applied for 90.9% of cases. The results provide proof of principle that pharmacogenomic testing can be applied in routine clinical practice and sets the stage for testing additional genes.

A comprehensive AI-driven analysis of large-scale omic datasets reveals novel dual-purpose targets for the treatment of cancer and aging.

As aging and tumorigenesis are tightly interconnected biological processes, targeting their common underlying driving pathways may induce dual-purpose anti-aging and anti-cancer effects. Our transcriptomic analyses of 16,740 healthy samples demonstrated tissue-specific age-associated gene expression, with most tumor suppressor genes downregulated during aging. Furthermore, a large-scale pan-cancer analysis of 11 solid tumor types (11,303 cases and 4431 control samples) revealed that many cellular processes, such as protein localization, DNA replication, DNA repair, cell cycle, and RNA metabolism, were upregulated in cancer but downregulated in healthy aging tissues, whereas pathways regulating cellular senescence were upregulated in both aging and cancer. Common cancer targets were identified by the AI-driven target discovery platform-PandaOmics. Age-associated cancer targets were selected and further classified into four groups based on their reported roles in lifespan. Among the 51 identified age-associated cancer targets with anti-aging experimental evidence, 22 were proposed as dual-purpose targets for anti-aging and anti-cancer treatment with the same therapeutic direction. Among age-associated cancer targets without known lifespan-regulating activity, 23 genes were selected based on predicted dual-purpose properties. Knockdown of histone demethylase KDM1A, one of these unexplored candidates, significantly extended lifespan in Caenorhabditis elegans. Given KDM1A's anti-cancer activities reported in both preclinical and clinical studies, our findings propose KDM1A as a promising dual-purpose target. This is the first study utilizing an innovative AI-driven approach to identify dual-purpose target candidates for anti-aging and anti-cancer treatment, supporting the value of AI-assisted target identification for drug discovery.

The PD-1- and LAG-3-targeting bispecific molecule tebotelimab in solid tumors and hematologic cancers: a phase 1 trial

Tebotelimab, a bispecific PD-1×LAG-3 DART molecule that blocks both PD-1 and LAG-3, was investigated for clinical safety and activity in a phase 1 dose-escalation and cohort-expansion clinical trial in patients with solid tumors or hematologic malignancies and disease progression on previous treatment. Primary endpoints were safety and maximum tolerated dose of tebotelimab when administered as a single agent (n = 269) or in combination with the anti-HER2 antibody margetuximab (n = 84). Secondary endpoints included anti-tumor activity. In patients with advanced cancer treated with tebotelimab monotherapy, 68% (184/269) experienced treatment-related adverse events (TRAEs; 22% were grade ≥3). No maximum tolerated dose was defined; the recommended phase 2 dose (RP2D) was 600 mg once every 2 weeks. There were tumor decreases in 34% (59/172) of response-evaluable patients in the dose-escalation cohorts, with objective responses in multiple solid tumor types, including PD-1-refractory disease, and in LAG-3+ non-Hodgkin lymphomas, including CAR-T refractory disease. To enhance potential anti-tumor responses, we tested margetuximab plus tebotelimab. In patients with HER2+ tumors treated with tebotelimab plus margetuximab, 74% (62/84) had TRAEs (17% were grade ≥3). The RP2D was 600 mg once every 3 weeks. The confirmed objective response rate in these patients was 19% (14/72), including responses in patients typically not responsive to anti-HER2/anti-PD-1 combination therapy. ClinicalTrials.gov identifier: NCT03219268.

A human pilot study on positive electrostatic charge effects in solid tumors of the late-stage metastatic patients.

Correlative interactions between electrical charges and cancer cells involve important unknown factors in cancer diagnosis and treatment. We previously reported the intrinsic suppressive effects of pure positive electrostatic charges (PEC) on the proliferation and metabolism of invasive cancer cells without any effect on normal cells in cell lines and animal models. The proposed mechanism was the suppression of pro-caspases 3 and 9 with an increase in Bax/Bcl2 ratio in exposed malignant cells and perturbation induced in the KRAS pathway of malignant cells by electrostatic charges due to the phosphate molecule electrostatic charge as the trigger of the pathway. This study aimed to examine PECs as a complementary treatment for patients with different types of solid metastatic tumors, who showed resistance to chemotherapy and radiotherapy. In this study, solid metastatic tumors of the end-stage patients (n = 41) with various types of cancers were locally exposed to PEC for at least one course of 12 days. The patient's signs and symptoms, the changes in their tumor size, and serum markers were followed up from 30 days before positive electrostatic charge treating (PECT) until 6 months after the study. Entirely, 36 patients completed the related follow-ups. Significant reduction in tumor sizes and cancer-associated enzymes as well as improvement in cancer-related signs and symptoms and patients' lifestyles, without any side effects on other tissues or metabolisms of the body, were observed in more than 80% of the candidates. PECT induced significant cancer remission in combination with other therapies. Therefore, this non-ionizing radiation would be a beneficial complementary therapy, with no observable side effects of ionizing radiotherapy, such as post-radiation inflammation.

Fluorescence lifetime of injected indocyanine green as a universal marker of solid tumours in patients.

The surgical resection of solid tumours can be enhanced by fluorescence-guided imaging. However, variable tumour uptake and incomplete clearance of fluorescent dyes reduces the accuracy of distinguishing tumour from normal tissue via conventional fluorescence intensity-based imaging. Here we show that, after systemic injection of the near-infrared dye indocyanine green in patients with various types of solid tumour, the fluorescence lifetime (FLT) of tumour tissue is longer than the FLT of non-cancerous tissue. This tumour-specific shift in FLT can be used to distinguish tumours from normal tissue with an accuracy of over 97% across tumour types, and can be visualized at the cellular level using microscopy and in larger specimens through wide-field imaging. Unlike fluorescence intensity, which depends on imaging-system parameters, tissue depth and the amount of dye taken up by tumours, FLT is a photophysical property that is largely independent of these factors. FLT imaging with indocyanine green may improve the accuracy of cancer surgeries.

The Nervous System Development Regulator Neuropilin-1 as a Potential Prognostic Marker and Therapeutic Target in Brain Cancer.

Neuropilins are transmembrane glycoproteins that regulate developmental processes in the nervous system and other tissues. Overexpression of neuropilin-1 (NRP1) occurs in many solid tumor types and, in several instances, may predict patient outcome in terms of overall survival. Experimental inhibition of NRP1 activity can display antitumor effects in different cancer models. Here, we review NRP1 expression and function in adult and pediatric brain cancers, particularly glioblastomas (GBMs) and medulloblastomas, and present analyses of NRP1 transcript levels and their association with patient survival in GBMs. The case of NRP1 highlights the potential of regulators of neurodevelopment as biomarkers and therapeutic targets in brain cancer.

Impact of Targeting Moiety Type and Protein Corona Formation on the Uptake of Fn14-Targeted Nanoparticles by Cancer Cells.

The TWEAK receptor, Fn14, is a promising candidate for active targeting of cancer nanotherapeutics to many solid tumor types, including metastatic breast and primary brain cancers. Targeting of therapeutic nanoparticles (NPs) has been accomplished using a range of targeting moieties including monoclonal antibodies and related fragments, peptides, and small molecules. Here, we investigated a full-length Fn14-specific monoclonal antibody, ITEM4, or an ITEM4-Fab fragment as a targeting moiety to guide the development of a clinical formulation. We formulated NPs with varying densities of the targeting moieties while maintaining the decreased nonspecific adhesivity with receptor targeting (DART) characteristics. To model the conditions that NPs experience following intravenous infusion, we investigated the impact of serum exposure in relation to the targeting moiety type and surface density. To further evaluate performance at the cancer cell level, we performed experiments to assess differences in cellular uptake and trafficking in several cancer cell lines using confocal microscopy, imaging flow cytometry, and total internal reflection fluorescence microscopy. We observed that Fn14-targeted NPs exhibit enhanced cellular uptake in Fn14-high compared to Fn14-low cancer cells and that in both cell lines uptake levels were greater than observed with control, nontargeted NPs. We found that serum exposure increased Fn14-targeted NP specificity while simultaneously reducing the total NP uptake. Importantly, serum exposure caused a larger reduction in cancer cell uptake over time when the targeting moiety was an antibody fragment (Fab region of the monoclonal antibody) compared with the full-length monoclonal antibody targeting moiety. Lastly, we uncovered that full monoclonal antibody-targeted NPs enter cancer cells via clathrin-mediated endocytosis and traffic through the endolysosomal pathway. Taken together, these results support a pathway for developing a clinical formulation using a full-length Fn14 monoclonal antibody as the targeting moiety for a DART cancer nanotherapeutic agent.

Immunotherapy and Targeted Therapies Efficacy in Thymic Epithelial Tumors: A Systematic Review.

Thymic epithelial tumors (TET) are rare neoplasms of the anterior mediastinum. Surgery is the mainstay treatment for resectable TET, whereas systemic treatments are reserved for unresectable and metastatic tumors. The development of new treatments, such as immune checkpoint inhibitors (ICI) and targeted therapies, with promising results in other types of solid tumors, has led to the investigation of their potential efficacy in TET. The study of tumor microenvironments (TME) is another field of investigation that has gained the interest of researchers. Taking into account the complex structure of the thymus and its function in the development of immunity, researchers have focused on TME elements that could predict ICI efficacy. The primary objective of this systematic review was to investigate the efficacy of ICI in TET. Secondary objectives included the toxicity of ICI, the efficacy of targeted therapies in TET, and the evaluation of the elements of TME that may be predictive factors of ICI efficacy. A literature search was conducted in February 2023 using the Ovid Medline and SciVerse Scopus databases. 2944 abstracts were retrieved, of which 31 were retained for the systematic review. Five phase II and one retrospective study assessed ICI efficacy. The overall response rate (ORR) varied from 0% to 34%. Median progression-free survival (PFS) ranged from 3.8 to 8.6 months, being lower in thymic carcinoma (TC) (3.8-4.2 months). Median overall survival (OS) ranged from 14.1 to 35.4 months. Treatment-related adverse events occurred in 6.6% to 27.3% of patients. Sixteen studies assessed targeted therapies. The most active molecule was lenvatinib, with 38% ORR in patients with TC while no activity was detected for imatinib, erlotinib plus bevacizumab, and saracatinib. Ten studies assessed TME elements that could predict ICI efficacy. Four studies focused on the tumor-infiltrating immune cells suggesting improved outcomes in patients with TC and high tumor-infiltrating lymphocyte densities. Another study showed that CD8+, CD20+, and CD204+ tumor-infiltrating immune cells in cancer stroma might be prognostic biomarkers in TC. Another study identified the immune-related long non-coding RNAs as a predictor of response to ICI. Tumor mutational burden was identified as a predictive factor of ICI efficacy in one study. Despite study heterogeneity, this review shows that ICI could be a therapeutic option for selected patients with TET that are not amenable to curative radical treatment after first-line chemotherapy.

Mitochondria Dictate Function and Fate of HSCs and T Cells.

Hematopoietic stem cells (HSC) and T cells are intimately related, lineage-dependent cell populations that are extensively used as therapeutic products for the treatment of hematologic malignancies and certain types of solid tumors. These cellular therapies can be life-saving treatments; however, their efficacies are often limited by factors influencing their activity and cellular properties. Among these factors is mitochondrial metabolism, which influences the function and fate commitment of both HSCs and T cells. Mitochondria, besides being the "cellular powerhouse," provide metabolic intermediates that are used as substrates for epigenetic modifications and chromatin remodeling, thus, driving cell fate decisions during differentiation. Moreover, mitochondrial fitness and mitochondrial quality control mechanisms are closely related to cellular function, and impairment of these mitochondrial properties associates with cellular dysfunction due to factors such as T-cell exhaustion and aging. Here, we give an overview of the role of mitochondria in shaping the behavior of these lineage-related cell populations. Moreover, we discuss the potential of novel mitochondria-targeting strategies for enhancing HSC- and T cell-based cancer immunotherapies and highlight how design and application of such approaches requires consideration of the metabolic similarities and differences between HSCs and T cells. See related article on p. 1302.

Excessive concentrations of kinase inhibitors in translational studies impede effective drug repurposing

Drug repositioning seeks to leverage existing clinical knowledge to identify alternative clinical settings for approved drugs. However, repositioning efforts fail to demonstrate improved success rates in late-stage clinical trials. Focusing on 11 approved kinase inhibitors that have been evaluated in 139 repositioning hypotheses, we use data mining to characterize the state of clinical repurposing. Then, using a simple experimental correction with human serum proteins in invitro pharmacodynamic assays, we develop a measurement of a drug's effective exposure. We show that this metric is remarkably predictive of clinical activity for a panel of five kinase inhibitors across 23 drug variant targets in leukemia. We then validate our model's performance in six other kinase inhibitors for two types of solid tumors: non-small cell lung cancer (NSCLC) and gastrointestinal stromal tumors (GISTs). Our approach presents a straightforward strategy to use existing clinical information and experimental systems to decrease the clinical failure rate in drug repurposing studies.

Assessment of Quality of Life and Long-term Health-related Problems Among Children with Intracranial Tumor

Introduction: The most prevalent type of solid tumor in children is the intracranial tumor. The treatment of pediatric intracranial tumors has acute and late side effects on the physical, cognitive, emotional, and social health of children, which negatively impact their HRQoL. Objectives: To assess the quality of life (QoL) and long-term health-related problems in children with intracranial tumors. Method: A descriptive study was conducted involving 70 children with intracranial tumors visiting OPD for their post-treatment follow-up. Ethical permission was granted from the Institutional Ethical Committee. Tools used to collect were Sociodemographic and clinical profile sheets of the children, Problem assessment proforma, and PedsQL TM Generic Core 4.0 Scale. Results: The age of children ranged from 4 to 18 years with a mean age of 11.31 + 4.28 years. Fatigue (57.1%) was the most common problem experienced by children followed by weakness (41.4%) and headache (25.7%). In neurocognitive dysfunction, decreased attention was seen in 30% of children followed by difficulty in thinking and reading/writing. Muscle power-related problems, endocrine problems, and psychological and behavioral problems were also seen in these children. The total score of QoL of children with intracranial tumors was 70.8 ± 24.6. The most affected domain of QoL was school functioning, followed by physical functioning. Conclusion: Children with intracranial tumor show average HRQoL and these children are at a higher risk for late consequences, which may influence several life domains.

SGN-B7H4V, an investigational vedotin ADC directed to the immune checkpoint ligand B7-H4, shows promising activity in preclinical models

BackgroundSGN-B7H4V is a novel investigational vedotin antibody–drug conjugate (ADC) comprising a B7-H4-directed human monoclonal antibody conjugated to the cytotoxic payload monomethyl auristatin E (MMAE) via a protease-cleavable maleimidocaproyl valine citrulline...