Different Types Of Cancer Research Articles

Abstract 7470: Leukemia inhibitory factor promotes tumor progression in KRAS-driven lung cancer

Abstract Leukemia inhibitory factor (LIF) displays complex effects in different types of cancer but its role in lung cancer remains unknown. Since KRAS mutation is an initial validated oncogenic event in near 30% of non-small cell lung cancer (PanCancer Atlas), we were interested in studying how LIF would influence tumor initiation and progression in KRAS-driven lung cancer.To properly study the roles of LIF throughout KRAS-driven tumorigenesis, we generated a novel genetically engineered mouse model (GEMM), where expression of LIF can be conditionally knocked out by Cre recombinase. Conditional deletion of the Lif allele in oncogenic KRAS-induced lung tumors is achieved by crossing Lif flox/flox mice with KrasLSL-G12D/+, Trp53flox/flox (KP) mouse model. In our lung cancer model, induction of oncogenic KRAS and depletion of LIF is attained through intratracheal infection of adeno-Cre virus.When our Lif flox/floxKP (LKP) and KP mice were infected by adeno-Cre virus, they developed lung tumors at reasonable frequencies within 4-8 months. We generated cell lines from tumors and used ELISA and RT-qPCR analysis to validate the efficiency of the knockout. While control KP tumor cell lines (n=3) showed Lif expression and LIF protein secretion, cell lines from LKP tumors (n=3) presented with undetectable Lif expression and no LIF secretion validating the successful deletion of Lif and functionality of our new mouse model. We generated H&E slides from the tumors and with the help of our pathologist we confirmed the subtype of lung adenocarcinoma. The effects of LIF on cell lines proliferation were evaluated in vitro and we found that LKP cell lines grow significantly slower than the KP lines (p<0.05).Mice in both groups were monitored for their overall survival (OS) rate. LKP mice (n=5) tend to have an increased median overall survival at 176 days when compared to control KP mice (n=7) at 152 days (p=0.07). To estimate the tumor initiation and progression, mice in each group were sacrificed at early endpoints (10- and 15-weeks post adeno-cre infection) and ratios of lung weight/mouse weight were measured as an indicator of tumor burden. At 10 weeks, LKP mice (n=5) presented with significantly smaller ratios with an average of 0.014 compared to KP animals (n=4) with an average of 0.019 (p=0.027).We found that LIF tends to shorten overall survival and augments tumor burden in lung cancer. These data suggest that LIF has a pro-tumorigenic role in KRAS-driven lung cancer proposing this cytokine as a potential prognostic biomarker and its depletion as a promising therapeutic target. Citation Format: Imene Boukhalfa Hanafi, Lisa Miller-Phillips, Ons Zakraoui, Kieren D. Marini, Sarah Umetsu, Man-Tzu Wang, Eric A. Collisson. Leukemia inhibitory factor promotes tumor progression in KRAS-driven lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7470.

Abstract 6091: Multi-cancer early cancer detection and cancer-type identification with high sensitivity non-invasive using urine: Pancreatic lung cancer early detection

Abstract N-NOSE, a breakthrough cancer detection test from HIROTSU BIO SCIENCE, utilizes the unique chemotactic behavior of the nematode C. elegans. This nematode is drawn to the urine of individuals with 15 different types of cancers (including stomach, colon-rectum, lung, breast, pancreas, liver, prostate, uterus, esophagus, gallbladder, bile duct, kidney, urinary bladder, ovary, oropharynx) while avoiding urine from healthy persons, making N-NOSE a comprehensive primary screening tool. It has a high accuracy rate, with 87.5% sensitivity and 90.2% specificity for early-stage cancers. Being non-invasive and reasonably priced, N-NOSE has been a significant success in Japan since its 2020 launch, with over 500,000 screenings.This presentation delves into the technology aspect of N-NOSE in Japan, comparing its clinical research and key findings with competitors to underscore its effectiveness in early cancer detection. Furthermore, N-NOSE now advances to not only detect cancer but also identify its type in a noninvasive way, using urine and with high PPV.With pancreatic cancer being particularly lethal, we outline “N-NOSE plus pancreas,” the world’s first pancreatic cancer detection test at an early stage. This involves genetically modifying C. elegans to react specifically to early-stage pancreatic cancer urine samples, a development centered on the newly identified cr-4 GPCR in AWC neurons. Next, we profile our newest liver-cancer-specific test, “N-NOSE plus liver,” which offers early liver cancer detection with high sensitivity and specificity using urine.Finally, we highlight how N-NOSE bridges the gap in cancer screening and type identification, offering a complete, non-invasive solution. Citation Format: Eric Di Luccio, Takaaki Hirotsu. Multi-cancer early cancer detection and cancer-type identification with high sensitivity non-invasive using urine: Pancreatic lung cancer early detection [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6091.

Abstract 1916: Discovery of a novel Nectin4 IPSC-derived cell therapy for the treatment of solid tumors

Abstract Century Therapeutics is developing a Nectin4-targeting IPSC-derived cell therapy for the treatment of Nectin4 expressing solid tumors. The Nectin proteins (Nectin1, Nectin2, Nectin3 and Nectin4) are members of the calcium independent immunoglobulin superfamily of cell adhesion molecules (CAMs) involved in adhesive processes that help in the growth and development of tissues. Nectin 1, 2 and 3 are normally found in adult tissue whereas Nectin4 is mainly found in normal placental and embryonic tissue. Nectin4 is also expressed in different types of cancer including urothelial, ovarian, lung and head/neck cancers. Nectin4 is established as a biomarker for worse prognosis in cancers and is linked with carcinogenesis and disease severity. These features establish Nectin4 as a promising target for anti-tumor drug development. Enfortumab vedotin, an antibody drug conjugate targeting Nectin4 positive tumors, has demonstrated benefit in clinical trials and is FDA approved for treatment of advanced bladder cancer. We have identified novel single-domain antibodies (VHH) that bind to multiple epitopes on Nectin4 extracellular domain. The VHH antibodies were engineered into chimeric antigen receptor (CAR) formats and characterized for expression, cell activation through antigen engagement, and cytotoxicity activity in primary T-cells. Selected binders demonstrated efficacy in multiple CAR formats in primary T-cells in a mouse xenograft model using OVCar-3 tumor cells. The lead CARs engineered into primary T-cells demonstrated tumor inhibition similar to a reference CAR using the ASG-5ME antibody (Enfortumab) as the Nectin4 binder. The CARs were engineered into our IPSC-derived iNK and iT cells and demonstrated cytotoxicity activity against a panel of cell lines with a range of cell surface expression of Nectin4. Based on these studies, Century Therapeutics is advancing the lead Nectin4 binder for development of an IPSC-derived cell therapy to treat Nectin4 positive solid tumors. Citation Format: Jill M. Carton, Chris Dower, Michael Miller, John Wheeler, Sean Heron, Hillary J. Millar, David Walker, Daniel J. Perry, Andriana Lebid, Luis Cocka, Dae Hwan Kim, Barry Morse, Buddha Gurung, Maisha Harris, Annalise Jethon, Michael Naso, Hy Levitsky. Discovery of a novel Nectin4 IPSC-derived cell therapy for the treatment of solid tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1916.

Abstract 5982: Cannabinoid derived product is a potential novel therapeutic for papillary thyroid carcinoma

Abstract Papillary thyroid carcinoma (PTC) is the most common thyroid cancer that usually affects women ages 20-50, presenting as an asymptomatic neck mass. Total or partial thyroidectomy shows an excellent prognosis; however, investigation into non-invasive therapeutics with minimal adverse effects is ongoing. In addition to driver mutations such as BRAF, RAS, and RET-PTC, p53 mutations have also been identified. The loss of function of p53 is linked to cancer progression from PTC to poorly differentiated thyroid cancer and possibly anaplastic thyroid cancer. The disruption of the Wnt cell pathway is documented to be related to malignant cell transformation in thyroid cancer, leading to remarkable upregulation of c-myc, resulting in enhancement of tumor growth and drug resistance. Previous studies revealed that upregulation of BCL-2 occurs at later stages of tumorigenesis and is involved in chemotherapy resistance in some forms of cancer. In PTC, the downregulation of BCL-2 is linked to its favorable prognosis. Cannabinoid Derived Products (CDPs) have shown effectiveness in inhibiting different types of cancer, with research dating back to the 1970s. Ongoing in-vitro and in-vivo studies show that CDPs can effectively modulate tumor growth. However, the apoptotic properties of CDPs are largely dependent on the cancer type and drug dose/concentration. Our investigation focuses on CDPs and its potential anti-cancer effects by modulation of gene expression. We investigated its effects on gene expression of p53, c-Myc, and BCL-2 in K1 cell line which consists of PTC cells obtained from metastasis of well-differentiated PTC. K1 PTC cells (1 x106 cells/mL) were cultured with CDPs and incubated at 37°C under 5% CO2 for 24 and 48 hours. Cells were harvested, and cell viability was determined via trypan blue exclusion assay. Using qRT-PCR, we determined the effects of CDPs on the expression of TP53, c-Myc, and BCL-2. Results show that the CDPs decreased the viability (p< 0.001) of K1 PTC cells in a dose and time-dependent manner. Within 24 hours, the cannabinoid-containing product increased the gene expression of TP53 (p < 0.01) and decreased the gene expression of BCL-2 (p< 0.01) and c-Myc (p< 0.05) in K1 PTC cells. The results suggest that CDPs interact as a potential regulator in cancer with the upregulation of p53 and downregulation of BCL-2 and c-Myc. Further in-vitro and in-vivo studies are needed to understand the mechanism and therapeutic potential of cannabinoid-containing products in papillary thyroid cancer. Citation Format: Carolina Taico, Ibrahim Musa, Fariba Ardalani, Anish Maskey, Nan Yang, Joseph Breslin, Raj Tiwari, Jan Geliebter, Xiu Min Li. Cannabinoid derived product is a potential novel therapeutic for papillary thyroid carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5982.

Abstract 1892: KK2260: A fully human tetravalent bispecific antibody targeting TfR1 and EGFR for the treatment of EGFR-expressing tumors

Abstract Background: TfR1 is a transmembrane glycoprotein involved in iron uptake and regulation of cell growth. High TfR1 expression has been reported in different types of cancers, therefore recognized as a target molecule for cancer therapy. Despite the promise of potent efficacy of TfR1-targeted agents, there is a risk of side effects (i.e., severe anemia), since TfR1 is also highly expressed in certain normal cells (e.g., reticulocytes). KK2260 is a fully human tetravalent bispecific antibody (bsAb) based on REGULGENTTM technology targeting TfR1 and EGFR. This bsAb was designed for EGFR-expressing cell selective anti-cancer drug which could not be achieved by conventional monospecific Ab. In this study, we evaluated the mechanism of action (MOA), anti-cancer effect, and toxicity of KK2260. Methods: Binding activity of KK2260 to TfR1 and EGFR was evaluated by surface plasmon resonance method. Ligand blocking activity was evaluated by binding competition on esophageal squamous cell carcinoma (ESCC) OE21 cells. Growth inhibitory activity of KK2260 on cancer cells or hematopoietic progenitor cells was evaluated by proliferation inhibition assay. In some studies, excessive iron or anti-EGFR parent Ab was added. Effect on the cell surface target expression levels was evaluated by flow cytometry. The intracellular iron level was evaluated by cell imaging. Effect on EGF induced EGFR phosphorylation was evaluated by Western blotting. The in vivo efficacy of KK2260 was evaluated in cell line-derived and patient-derived xenograft (PDX) models of ESCC selected for high EGFR expression level. The toxicity of KK2260 was evaluated in cynomolgus monkeys. Results: KK2260 bound to TfR1 and EGFR with no ligand binding inhibition. KK2260 inhibited cell growth of moderate to high EGFR-expressing cancer cells, but not against EGFR-negative cancer cells or hematopoietic progenitor cells. KK2260 downregulated TfR1 expression on OE21 cells and the intracellular iron level decreased, but no effect was observed on EGFR phosphorylation. The growth inhibitory activity of KK2260 was abolished by adding excessive amounts of iron or reduced by inhibiting the binding to EGFR. Potent anti-tumor activity was observed in the ESCC PDX models with tumor regression. In the intermittent-dose toxicity study of cynomolgus monkeys, KK2260 was well-tolerated. Conclusions: KK2260 demonstrated potent anti-cancer effect both in vitro and in vivo. Intriguingly, KK2260 did not inhibit EGFR phosphorylation while EGFR-binding dependent TfR1 downregulation resulted in intracellular iron deficiency, which was considered as the MOA of KK2260. KK2260 was well tolerated in non-human primates. These preclinical data suggest the unique property of KK2260 is expected to provide significant benefit to patients with advanced ESCC and other EGFR-expressing tumors and Phase 1 study is currently on going in Japan (jRCT2031230372). Citation Format: Keisuke Mitamura, Hironori Otsuki, Keiko Nakahashi, Ayaka Kitagawa, Masayo Kamigaki, Yohei Kurio, Miho Inoue, Yasunori Uemura. KK2260: A fully human tetravalent bispecific antibody targeting TfR1 and EGFR for the treatment of EGFR-expressing tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1892.

Abstract 7115: Mutational signatures in PDXs for improved understanding of drug response and companion biomarkers identification

Abstract Genomic DNA editing is a continuous process that occurs during the entire cell life span. The type and frequency of these modifications can be related to the physiological or pathological activity of intrinsic mechanisms such as DNA surveillance and repair or to extrinsic events that may induce an alteration of DNA sequence by exposure to agents that directly or indirectly induce accumulations of DNA alterations. In the past few years, large-scale analyses have revealed mutational signatures across human cancer types. These signatures can be used as markers of defective internal processes, such as DNA repair deficiency, or external exposures, such as carcinogens, like tobacco, or genotoxic therapies such as radiation and chemotherapy. Our TumorGraft platform, a collection of 1500 patient-derived xenograft generated from more than 50 different types of cancer, is one of the most comprehensive preclinical oncology platforms worldwide, and aims to recapitulate the variety of the patient population and tumor biology complexity. This platform is currently used to evaluate the efficacy of new drugs, and all our models are very well characterized at the molecular level, including whole transcriptome, proteomics and phospho-proteomics, quantification, and genomic variation calls. This allows accurate selection of models with the molecular characteristics of the target patient population, as well as to identify biomarkers predictive of treatment efficacy. This could eventually lead to the development of companion biomarkers in the clinical setting to improve the identification of patients that will benefit from the treatment and those that should be spared. To maximize the chances of identifying relevant molecular traits associated with tumor response, we have been utilizing the Pharmaco-Pheno-Multiomic (PPMO) integration workflow, a machine learning approach which combines phenotypic and therapeutic response profiles with multiple omics datatypes to generate complex biomarker profiles. To provide additional insights on the molecular characteristics of our tumors, we decided to perform the mutational signatures profiling of our models by using whole exome sequencing data. The results obtained were crossed with patient’s clinical history and showed good correlation between the mutational signatures identified and the treatments received by the patient, in particular for exposure to platinum salts. The addition of PDXs mutational signatures strongly improves our knowledge on these models and confers an important parameter for model selection. Moreover, the integration of mutational signature profiles in the PPMO workflow would make a significant contribution for companion biomarkers identification. Citation Format: Haia Khoury, Stefano Cairo, Mara Gilardi, Michael Ritchie, Gilad Silberberg. Mutational signatures in PDXs for improved understanding of drug response and companion biomarkers identification [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7115.

Abstract 1560: In vivo CRISPR/Cas9 transcriptional activation screen leads to discovery of INAFM2, a novel driver of metastasis

Abstract Metastasis is the main cause of mortality in cancer patients and accounts for about 90% of cancer deaths, which has not changed in the past 50 years. This indicates a significant need for further study of metastasis pathways to find novel druggable targets. Ewing sarcoma (ES) is an aggressive childhood cancer that occurs in the bones or soft tissue. The five-year survival rate for Ewing sarcoma patients diagnosed with metastatic disease is still only 25%, making ES a good model for studying metastasis. We performed a genome-wide CRISPR/Cas9 transcriptional activation screen in a zebrafish xenograft model to discover genes whose activation leads to increased metastasis. The screen identified a number of genes that may accelerate ES metastasis; we chose INAFM2 for further study because multiple unique INAFM2-targeting gRNAs were enriched in the screen and we discovered a potential link to metastasis and patient survival in publicly available clinical data. Overexpression of INAFM2 in six different cancer cell lines (four ES, one hepatocellular carcinoma, and one stomach adenocarcinoma) caused increased cell migration and chemotaxis in vitro, and increased intravasation in zebrafish xenografts. INAFM2 knockdown in four cancer cell lines (two ES, one clear cell renal cell carcinoma, and one stomach adenocarcinoma) decreased chemotaxis and rescue of INAFM2 expression restored the cells’ ability to migrate. Analysis of patient tumor RNA sequencing data from many different types of cancers revealed correlations between INAFM2 expression and both an increased metastatic phenotype and poor patient survival. Further in vivo studies by tail vein injection of ES cells in immunodeficient mice demonstrated significantly increased gross metastases with INAFM2 overexpression and decreased gross metastases with INAFM2 knockdown compared to the respective control groups. This provides strong evidence for a substantial role of INAFM2 in cancer metastasis. Human INAFM2 is an unstudied gene and our preliminary work has revealed that the INAFM2 protein localizes to the cell membrane, is glycosylated, and may be involved in Wnt and/or MAPK pathway signaling. Inafm2 silencing by morpholino in zebrafish embryos lead to significant mortality, necrosis, and developmental delays/defects including severe cardiac edema. Current studies are focused on further discerning the molecular pathways that mediate the role of INAFM2 in promoting metastasis using in vitro and in vivo models as well as characterizing the functional significance of the direct protein binding partners and post-translational modifications for INAFM2. Citation Format: Anna Molotkova, Emre Deniz, Matthew Swift, Eric Glasgow, Jeffrey Toretsky, Aykut Üren. In vivo CRISPR/Cas9 transcriptional activation screen leads to discovery of INAFM2, a novel driver of metastasis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1560.

Abstract 1972: Preclinical activity of the type II RAF inhibitor tovorafenib in tumor models harboring either a BRAF fusion or a NF1-LOF mutation

Abstract Genomic alterations and dysregulation of the MAPK pathway have been described in many different types of cancers. BRAF V600 point mutations and BRAF fusions, which are found in both pediatric and adult cancers, are oncogenic drivers that drive constitutive activation of the RAF pathway (Jones 2009, Yaeger 2019). Neurofibromatosis 1 (NF1) loss-of-function (LOF) mutations, which occur in many cancer types, result in decreased neurofibromin GAP function, thus activating RAS (Basu 1992). Tovorafenib is an investigational, selective, CNS-penetrant, small molecule type II RAF inhibitor which inhibits both RAF monomers and dimers and has been shown preclinically to impact the KIAA1549::BRAF fusion (Sun 2017). In this study, the impact of tovorafenib alone or in combination with MEK inhibitor, pimasertib, was explored in adult or pediatric tumor models harboring BRAF fusions or NF1-LOF mutations. At clinically relevant doses, tovorafenib treatment resulted in tumor regression in an AGK::BRAF fusion melanoma patient-derived xenograft (PDX) model in vivo. In contrast, little anti-tumor activity was observed in response to tovorafenib in vivo in two tumor models harboring NF1-LOF mutations. Ongoing PK-PD studies in both the AGK::BRAF fusion model and the NF1-LOF models will assess the extent and duration of target inhibition. In vitro, anti-proliferative activity of tovorafenib was also evaluated in NF1-LOF mutant tumor cell lines or PDX models of different tumor types, including melanoma, lung and malignant peripheral nerve sheath tumor (MPNST). While tovorafenib was potent in the BRAF V600E tumor cell line, little activity was observed in the NF1-LOF tumor cell lines. Modulation of phosphorylated-ERK (pERK) was also assessed. At very low concentrations, modest induction of pERK was observed in the NF1-LOF tumor cell lines, with inhibition at higher concentrations. In vitro combination studies were conducted using pimasertib and tovorafenib, or a tool compound. Synergy was observed in a NF1-LOF embryonal rhabdomyosarcoma PDX model ex vivo and a NF1-LOF MPNST cell line in vitro, suggesting that vertical pathway inhibition is impactful in the NF1-LOF mutant setting. Tovorafenib is currently being evaluated as a monotherapy in relapsed or progressive pediatric low-grade glioma (pLGG) harboring RAF alterations (NCT04775485) and in combination with pimasertib in patients ≥12 years of age with recurrent, progressive, or refractory solid tumors harboring MAPK pathway alterations (NCT04985604). Ongoing preclinical translational work will continue to explore potential biomarker-defined tumor indications for these agents. Citation Format: Shubhra Rastogi, Sam Perino, Madhu Lal-Nag, Yujin Wang, Samuel C. Blackman, Eleni Venetsanakos. Preclinical activity of the type II RAF inhibitor tovorafenib in tumor models harboring either a BRAF fusion or a NF1-LOF mutation [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1972.

Abstract 1445: Emergence of frameshift mutations during tumorigenesis in VCMsh2 mouse model of Lynch syndrome

Abstract Monoallelic germline mutations in MMR genes (e.g., MLH1, MSH2, MSH6, and PMS2) predispose individuals to Lynch syndrome (LS) with microsatellite instability (MSI) throughout the genome. Mutations at coding mononucleotide repeats (MNR) usually result in frameshift mutations (FSMs). Recurrent FSMs are thought to play a central role in the increased risk of different types of cancer. Neoantigens produced by FSMs have been shown to elicit immune responses, which is the basis for frameshift neoantigen-based vaccines. To develop a prophylactic vaccine and prevention strategy for this high-risk population, we assessed FSMs during tumorigenesis from histologically normal mucosa and fecal DNA of a LS mouse model using targeted sequencing and a panel of FSMs in MNR regions. Msh2LoxP/LoxP;Villin-Cre mice (VCMsh2) started developing detectable tumors at 7-8 months and median survival was 11.5 months with 100% penetrance. Interestingly, FSMs were detectable not only in tumors and mucosa at 7-8 months, but also in young mice (1 month), embryos and pups although FSMs detected and variant allele frequency (VAF) were very low, indicating that FSMs accumulated over time, and FSMs alone may be not sufficient for tumorigenesis since tumors emerge at older age. To determine whether Msh2 was absent in embryos and pups, immunohistochemical (IHC) analysis was performed. Msh2 was lost in almost all intestine epithelial cells in 2-month-old mice but still present in young pups and embryos with very few cells absent of Msh2, indicating that emerging FSMs in these young pups may be due to decreased Msh2 expression because of delayed Cre function. To determine whether low Msh2 expression could lead to the emergence of FSMs, intestine mucosa from 8-, 10-, and 12-month-old Msh2LoxP/+;Villin-Cre heterozygous mice was sequenced. FSMs were detectable with low VAF, although they didn’t develop tumors. IHC staining revealed that Msh2 was absent in only a few intestine epithelial cells in these heterozygous mice, suggesting that loss of heterozygosity was a late event and rare at 12 months. To determine whether MSI emerged in young VCMsh2 pups and heterozygous mice due to haploinsufficiency of Msh2, MSI was assessed using seven markers and fragment size analysis. One marker (mBat67) showed instability in the intestinal mucosa of heterozygous mice and three showed instability in fecal DNA of one month old VCMsh2 mice. Interestingly, mucosal and fecal samples from a time course study in VCMsh2 mice showed progressive increase in MSI with a good correlation between MSI and FSMs during the tumorigenesis process. In summary, FSMs emerged at an early stage of tumorigenesis in VCMsh2 mice, which correlated with MSI status. Our data indicates that FSMs and MSI status can be used to monitor the tumor development of LS colorectal cancer. Funded by the National Cancer Institute, National Institutes of Health, under Contract No. HHSN261201500003I Citation Format: Yurong Song, Lei Wei, Shaneen S. Baxter, Brandon Somerville, Holli Loomans-Kropp, Chelsea Sanders, Ryan N. Baugher, Stephanie D. Mellott, Todd B. Young, Heidi E. Lawhorn, Teri M. Plona, Qiang Hu, Song Liu, Alan Hutson, Simone Difilippantonio, Ligia Pinto, Steven M. Lipkin, Matthias Kloor, Shizuko Sei, Robert H. Shoemaker. Emergence of frameshift mutations during tumorigenesis in VCMsh2 mouse model of Lynch syndrome [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1445.

Abstract 4695: Effect of fully human anti-PTGFRN antibody drug conjugate on head neck cancer cells and patient derived xenografts

Abstract Prostaglandin F2 Receptor Negative regulator, or PTGFRN, also known as FPRP is a 175 kDa transmembrane protein associated with metastatic characteristics of certain cancer types and a member of the tetraspanin family. PTGFRN expression is undetectable to low in normal tissues whereas it is elevated in several cancers such as head and neck, mesothelioma and medulloblastoma. PTGFRN has also been reported to be upregulated in many different types of cancer, increasingly so in metastatic cancer cells, compared to their non-metastatic counterparts PTGFRN expression has been reported to be a poor prognostic factor for glioblastoma making it a potential novel cancer therapeutic target. We have previously shown that PTGFRN is an internalizable cell surface protein making it suitable for targeting by antibody drug conjugate (ADC). We have developed fully human monoclonal antibodies to PTGFRN by immunizing humanized transgenic TC mice with human PTGFRN. Within 60 days from the start of immunization we were able to select several fully human anti-PTGFRN monoclonal antibodies that were examined by several functional assays that included flow binding, internalization, affinity determination and cell killing as antibody drug conjugates. Several monoclonal antibodies were selected and evaluated for their ability to inhibit tumor formation in several cancers. Selected antibodies were then conjugated to duocarmycin by a cleavable linker. The present study proposed to examine the effect of one such anti-PTGFRN ADC on head and neck cancer cell lines and patient derived xenografts that had been analyzed for their PTGFRN expression by western blot analysis using anti-PTGFRN antibody. Cells lines and PDX that were positive for PTGFRN expression were used to examine the effect of anti-PTGFRN ADC on their in vitro and in vivo proliferation. The data show that anti-PTGFRN ADC inhibits tumor formation in a dose-dependent fashion. These data also establish PTGFRN as cancer druggable target and the selected fully human anti-PTGFRN antibody as an attractive antibody for the development of new antibody drug conjugate in Oncology. These data also emphasize the potential of humanized transgenic TC mice for the development of fully human monoclonal antibodies, thus bypassing the need for humanization and affinity maturation required by other humanized mice or phase display. Citation Format: Jorge Marquez, Jianping Dong, Mitsuo Oshimura, Jun Hayashi, Ginette Serrero. Effect of fully human anti-PTGFRN antibody drug conjugate on head neck cancer cells and patient derived xenografts [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4695.

Abstract 5374: Novel mouse models to study the role of the docking protein GAB2 in general and in cancer

Abstract The docking protein GAB2 binds to growth factor, cytokine and antigen receptors via the adaptor GRB2. Thereby, GAB2 amplifies the signaling output of the SHP2/Ras/ERK, PI3K/AKT and STAT5 pathways, leading to survival, proliferation and migration. Beside these physiological functions, GAB2 is often overexpressed or hyperphosphorylated in different types of cancer, in particular melanoma, breast cancer and various leukemia entities. Previous studies demonstrated that mice with constitutive Gab2 deficiency are protected against breast cancer, acute and chronic myeloid leukemia driven by HER2, BCR::ABL1 and FLT3-ITD, respectively. While these studies support a critical role in tumor initiation, nothing is known about the relevance of GAB2 for tumor maintenance and progression. To this end, we have developed two novel conditional loss- and gain-of-function mouse models to further analyze the role of GAB2 in cancer. In the first model, the transgenic GAB2 mouse, GAB2 is expressed under the control of the TET-O promotor, allowing the tetracycline dependent expression in tissues expressing a tetracycline trans activator (tTA). We have already started by crossing in the SCLtTA mouse, in which tTA is expressed under the control of the murine stem cell leukemia 3’ enhancer. Here we show that the expression of transgenic GAB2 is tightly regulated by tetracycline and restricted to hematopoietic cells. This system is now perfectly suited to analyze the role of GAB2 in hematologic malignancies. By expressing tTA under different promotors, we propose that GAB2 overexpression can be directed to other organs or cell types. Combining this mouse line with cancer mouse models will allow to study the role of GAB2 in different cancer entities. With the second mouse model, the conditional Gab2 KO mouse, it is possible to study the therapeutic potential of GAB2 impairment in vivo. In this mouse, exon three of the Gab2 gene is flanked by LoxP sites. This allows for its CRE recombinase mediated deletion, leading to GAB2 deficiency. The combination of this mouse model with inducible and tissue specific CRE strains will allow to analyze the role of GAB2 in various cancer mouse models. To demonstrate the efficient conditional deletion of exon 3, we first crossed in the tamoxifen inducible ROSA26 CreERT2 mouse line. So far, we were able to show the functionality of this system in vitro in mouse embryonic fibroblasts (MEFs) generated from the conditional Gab2 KO mouse. In a next step we will verify the results in vivo and will cross this mouse line with a mouse model for Chronic Myeloid Leukemia (CML) to investigate the therapeutic potential of GAB2 in CML. In summary, we are convinced that these two novel mouse models will help to identify GAB2 as a potential target or biomarker in various cancer entities. In particular, the conditional approach will allow to alter GAB2 expression in already established tumors, thus mimicking pharmacological targeting. Citation Format: Moritz Angel, Vanessa Klappstein, Jule Schrimpf, Melanie Langhammer, Khalid Shoumariyeh, Cornelius Miething, Ulrich Kloz, Brittney Armstrong, Franciscus van der Hoeven, Tilman Brummer, Sebastian Halbach. Novel mouse models to study the role of the docking protein GAB2 in general and in cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5374.

Abstract 6548: Leveraging compact feature sets for TCGA-based molecular subtype classification on new samples

Abstract The NCI's The Cancer Genome Atlas (TCGA) project profiled over 10,000 tumor samples over the course of 10 years. As different tissue-specific working groups reviewed all of the available data, these patient samples were separated into distinct molecular subtypes, and these clusters were reported in various marker papers. While these assignments provided invaluable information about the common patterns of molecular characteristics in different types of cancer there was no consistent methodology for assigning new samples to these defined molecular subtypes.The NCI's Tumor Molecular Pathology group was formulated to create machine learning-based models that could be applied to non-TCGA samples and determine their TCGA mapped subtypes. Five modeling systems, JADBio, SKGrid by the Oregon Health and Science University, CloudForest by the Institute of Systems Biology, AKLIMATE by University of California Santa Cruz and subSCOPE by BC Cancer’s Genome Sciences Centre, were trained to recognize TCGA subtypes using multi-omic measurements from gene expression, DNA methylation, miRNA expression, copy number, and somatic mutation calls. While the TCGA samples were profiled using multi-omic technologies, single platform and/or compact feature set models also were assessed for their ability to assign these classifications. Each machine learning system created predictive models for 106 subtypes from 26 cancer types using as few features as possible, with a maximum of 100 features allowed for scored models. A set of 411,706 models was developed, composed of results of each of the learning methods across the various omic platforms. Top models, both multi-omic and single platform, were selected for each cancer type. On average, models were able to achieve an overall weighted F1 score of 0.895 with 42 features. While the top models for each cancer type had an overall weighted F1 mean performance of 0.936 with a mean of 29 features, in 20 of the 26 cancer types models using only gene expression provided the best performance. Analysis of features selected by the models showed some known onco-drivers were selected by many models, but many times different models would utilize features of different genes with similar levels of performance. Network-level analysis revealed that many genes of these selected features operated within the same pathways.Transferability of these models to external datasets was tested, taking TCGA breast cancer trained models and applying them to AURORA and METABRIC datasets. Interestingly, despite the data platform difference between TCGA (RNAseq) and METABRIC (microarray), model performance saw only minimal degradation of F1 values in transfer. This set of models and the training dataset will provide new opportunities for researchers and translational scientists to connect new tumors to the subtypes seen in the TCGA cohorts. Citation Format: Kyle Ellrott, Chris K. Wong, Christina Yau, Mauro A. Castro, Jordan Lee, Brian Karlberg, Jasleen K. Grewal, Vincenzo Lagani, Bahar Tercan, Verena Friedl, Toshinori Hinoue, Vladislav Uzunangelov, Lindsay Westlake, Xavier Loinaz, Ina Felau, Peggy Wang, Anab Kemal, Samantha J. Caesar-Johnson, Ilya Shmulevich, Alexander J. Lazar, Ioannis Tsamardinos, Katherine A. Hoadley, The Cancer Genome Atlas Analysis Network, Gordon A. Robertson, Theo A. Knijnenburg, Christopher C. Benz, Joshua M. Stuart, Jean C. Zenklusen, Andrew D. Cherniack, Peter W. Laird. Leveraging compact feature sets for TCGA-based molecular subtype classification on new samples [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6548.

Abstract 3408: ‘Survivor mentality’: The meaning of survivorship among Black cancer survivors

Abstract Purpose: To explore how Black adults who have been diagnosed with cancer perceive and interpret the term ‘cancer survivor’. Procedures: This study is a secondary analysis of qualitative data from a project identifying physical activity determinants among Black U.S. residents living past a cancer diagnosis. Semi-structured telephone interviews began with an inquiry into perceptions of the term ‘cancer survivor.’ Eligible participants were age 18 or older, self-identified as Black, and were living beyond a cancer diagnosis. Interviews were audio recorded and transcribed verbatim. Applying directed content analysis, 5 researchers independently applied a codebook generated from the interview guide to a subset of transcripts. The codebook was refined through iterative discussions to address coding discrepancies and achieve replicability. Remaining transcripts were then coded and a report of grouped narrative summaries was generated. Themes and subthemes were organized to present the meaning and significance of ‘cancer survivorship’ among the sample. The partnering community advisory board aided in and reviewed the interpretation of study findings. Results: Participants were 19 survivors of nine different types of cancer. Most participants were women (89.5%), 68.4% held a bachelor’s degree or greater, and the mean age was 56 (SD=12). Emergent themes describing perceptions of ‘cancer survivorship’ included 1) cancer ‘survivor’ terminology preferences, 2) outset of cancer ‘survivorship,’ 3) ‘survivor mentality’ and mental fortitude, and 4) advocacy for those affected by cancer. Many participants identified as ‘cancer survivors’ and preferred this to ‘in remission,’ but some preferred different terms or identities (e.g., warrior or thriver). Many believed survivorship began once an individual completed cancer treatment, but some felt survivorship began at cancer diagnosis. Survivor mentality was raised as a mindset providing some individuals the mental fortitude to complete cancer treatment, especially among those embracing a survivor identity during treatment. Some participants raised advocacy, providing support to others diagnosed with cancer, and sharing cancer information and their experience as part of what it means to be a survivor. Conclusions: Acceptance of the term “cancer survivor” and what it means to be a “survivor” vary among Black individuals living past a cancer diagnosis. The identities held by those diagnosed with cancer may have implications for their cancer experiences and outcomes. Many Black cancer survivors may perceive working to improve the lives of others with cancer as part of what it means to be a survivor. Partnering with Black cancer survivors in cancer prevention and control efforts may be mutually appealing and beneficial to improve the lives of individuals living past a cancer diagnosis. Citation Format: Nathaniel Woodard, Jingle Xu, Deirdre F. Lea, John L. Milner, Paulette Duggins, Karia Coleman, Ashley L. Bryant, Carmina G. Valle, Stephanie B. Wheeler, Jessica Carda-Auten, Tammy A. Triglianos, Rachel Hirschey. ‘Survivor mentality’: The meaning of survivorship among Black cancer survivors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3408.

Abstract 5817: pH responsive delivery of gemcitabine/pirarubicin co-loaded biodegradable polymeric nanoparticles for synergistic anti-cancer therapy

Abstract Gemcitabine, a nucleoside antimetabolite, is a widely known chemotherapeutic agent being used as a first line treatment alone or in combination with other chemo drugs for different types of cancer. However, due to its extremely short half-life in the body caused by enzymatic degradation and poor pharmacokinetics, the I.V. dosage of administration is quite high i.e., >1000 mg/m2 for metastatic breast cancer treatment. Moreover, gemcitabine in combination with anthracyclines imparts synergy but free anthracyclines are reported to be associated with long term cardiac toxicity. Nanoparticle-based drug delivery systems have provided a befitted solution for improving the poor pharmacokinetic properties and systemic toxicity caused by the chemo drugs because of their ability to improve bioavailability of the drugs at the desired site as well as overcoming multi-drug resistance (MDR).In the present work, PLA-based biodegradable block copolymeric nanoparticles have been employed to co-load Gemcitabine and Pirarubicin for improved anti-cancer activity. Gemcitabine and Pirarubicin have been chemically conjugated to the amphiphilic block copolymer mPEG PLA via a pH responsive Schiff’s Base linkage using a linker molecule Levulinic acid. The prepared PIRA/GEM co-loaded nanoparticles exhibited an optimum size, zeta potential and polydispersity index i.e., 187 ± 3.5 nm, -10 ± 2.0 and < 0.1 PDI respectively. Further, in the drug release experiments, these Nps displayed sustained and higher drug release in lysosomal pH (pH 5.0) than in the physiological buffer environment (pH 7.4) attributed to the pH sensitive bonding. The co-loaded Nps were prepared in multiple ratios (Pira: Gem - 1:1, 1:3, and 3:1) and investigated for in-vitro cellular inhibition studies in comparison to singly loaded drug Nps and corresponding free drug formulations in various breast cancer cell lines. Additionally, apoptotic studies revealed significant enhancement in synergistic activity in the case of PIRA/GEM co-loaded Nps in comparison to conventional free drug formulations. In conclusion, this nano-formulation demonstrated excellent anti-cancer activity against breast cancer cells therefore it may be used as a potential candidate for therapeutic use. Citation Format: Priya Gupta, Surender M. Kharbanda, Harpal Singh. pH responsive delivery of gemcitabine/pirarubicin co-loaded biodegradable polymeric nanoparticles for synergistic anti-cancer therapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5817.

Computational Analysis of Single Nucleotide Polymorphisms in Human HIC1 Gene.

Background A putative tumor suppressor gene called HIC1 (hypermethylated in cancer) is situated at 17p13.3, a locus where the allelic loss occurs often in human malignancies, including breast cancer. Hypermethylated in cancer 1 protein is a protein that in humans is encoded by the HIC1 gene and it's aHomo sapiens(Human). This gene functions as a growth regulatory and tumor repressor gene. The molecular function of HIC1 gene includes DNA-binding transcription factor activity, sequence-specific DNA binding, DNA binding, histone deacetylase binding, protein binding, metal ion binding, nucleic acid binding, DNA-binding transcription repressor activity, RNA polymerase II-specific, DNA-binding transcription factor activity, RNA polymerase II-specific. The biological process of HIC1 gene includes multicellular organism development, negative regulation of Wnt signaling pathway, positive regulation of DNA damage response, signal transduction by p53 class mediator regulation of transcription, DNA-templated, negative regulation of transcription by RNA polymerase II, Wnt signaling pathway, transcription, DNA-templated, intrinsic apoptotic signaling pathway in response to DNA damage, cellular response to DNA damage stimulus. The study aimed to predict the stability and structure of the protein that will arise from single nucleotide polymorphisms (SNPs) in the human HIC1 gene. Methodology To investigate the possible negative effects associated with these SNPs, bioinformatic analysis is typically essential. The following tools were employed for forecasting harmful SNPs: scale-invariant feature transform (SIFT), Protein Analysis Through Evolutionary Relationships (PANTHER), nonsynonymous SNP by Protein Variation Effect Analyzer (PROVEAN), and nonsynonymous SNP by Single Nucleotide Polymorphism Annotation Platform (SNAP). Results The present study identified a total of 36 SNPs using the SIFT approach, which were shown to have functional significance. Twenty-six were determined to be tolerable, whereas 10 were shown to be detrimental. Out of 20 SNPs, seven (P370A, P646S, R654P, A476T, S400S, D666N, D7V) SNPs were predicted as "Possibly damaging" and seven (L9F, G468R, G490R, L482R, S12W, G489D, S12P) were identified as "probably benign", and six (R725G, G620S, A56V, E463D, D394N, L338V) were identified as "probably damaging" according to the predictions made by PANTHER tools. The majority of the pixels on the strip were red, indicating that the gene changes may have dangerous consequences. These results highlight the need for more research to fully comprehend how these mutations affect the hic1 protein's function, which is essential for the emergence of different types of cancer. Conclusion The current research has provided us with essential information about how SNPs might be used as a diagnostic marker for cancer, given that SNPs may be candidates for cellular changes caused by mutations linked to cancer.

CELSR3 is a prognostic marker in HNSCC and correlates with immune cell infiltration in the tumor microenvironment

PurposeTo look at the diagnostic value of the CELSR receptor 3 (CELSR3) gene in head and neck squamous cell carcinoma (HNSCC) and its effect on tumor immune invasion, which is important for enhancing HNSCC treatment.MethodsSeveral bioinformatics tools were employed to investigate CELSR3’s putative oncogenic pathway in HNSCC, and datasets from The Tumor Genome Atlas (TCGA), Tumor Immune Estimation Resource (TIMER), Gene Expression Profile Interaction Analysis (GEPIA) and LinkedOmics were extracted and evaluated. CELSR3 has been linked to tumor immune cell infiltration, immunological checkpoints, and immune-related genes. CELSR3’s putative roles were investigated using Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and pathway enrichment analysis. The expression level of CELSR3 in HNSCC tissues and cells was detected by RT-qPCR. The effects of CELSR3 on proliferation of HNSCC cells were detected by CCK-8 assay.ResultsCELSR3 was shown to be expressed differently in different types of cancer and normal tissues. CELSR3 gene expression was linked to pN-stage and pM-stage. Patients with high CELSR3 expression also have a well prognosis. CELSR3 expression was found to be an independent predictive factor for HNSCC in both univariate and multivariate Cox regression analyses. We discovered the functional network of CELSR3 in HNSCC using GO and KEGG analysis. CELSR3 expression levels were found to be favorably associated with immune cell infiltration levels. Furthermore, CELSR3 expression levels were significantly correlated with the expression levels of many immune molecules, such as MHC genes, immune activation genes, chemokine receptors, and chemokines. CELSR3 is highly expressed in HNSCC tissues and cells. CELSR3 overexpression significantly inhibited the proliferation of HNSCC cells. CELSR3 expression may affect the immune microenvironment and, as a result, the prognosis of HNSCC.ConclusionCELSR3 expression is elevated in HNSCC tumor tissues, and high CELSR3 expression is associated with well prognosis, which inhibited the proliferation of NHSCC cells. CELSR3 has the potential to influence tumor formation by controlling tumor-infiltrating cells in the tumor microenvironment (TME). As a result, CELSR3 may have diagnostic significance in HNSCC.

Association of TNFRSF19 with a TNF family-based prognostic model and subtypes in gliomas using machine learning

PurposeTNF family members (TFMs) play a crucial role in different types of cancers, with TNF Receptor Superfamily Member 19 (TNFRSF19) standing out as a particularly important member in this category. Further research is necessary to investigate the potential impact of TFMs on prognosis prediction and to elucidate the function and potential therapeutic targets linked to TNFRSF19 expression in gliomas. MethodsThree databases provided the data on gene expression and clinical information. Fourteen prognostic members were found through univariate Cox analysis and subsequently utilized to construct TFMs-based model in LASSO and multivariate Cox analyses. TFMs-based subtypes based on the expression profile were identified using an unsupervised clustering method. Machine learning algorithm identified key genes linked to prognostic model and subtype. A sequence of immune infiltrations was evaluated using the ssGSEA and ESTIMATE algorithms. Immunohistochemistry was used to examine the patterns of expression and the clinical significance of TNFRSF19. ResultsOur development of a prognostic model and subtypes based on the TNF family was successful, resulting in accurate predictions of prognosis. The findings indicate that TNFRSF19 exhibited strong performance. Upregulation of TNFRSF19 was correlated with malignant phenotypes and poor prognosis, which was confirmed through immunohistochemistry. TNFRSF19 played a role in reshaping the immunosuppressive microenvironment in gliomas, and multiple drug-targeted TNFRSF19 molecules were identified. ConclusionsThe TMF-based prognostic model and subtype can facilitate treatment decisions for glioma. TNFRSF19 is an outstanding representative of a predictor of prognosis and immunotherapy effect in gliomas.

Multi-omics pan-cancer analyses identify MCM4 as a promising prognostic and diagnostic biomarker

Minichromosome Maintenance Complex Component 4 (MCM4) is a vital component of the mini-chromosome maintenance complex family, crucial for initiating the replication of eukaryotic genomes. Recently, there has been a growing interest in investigating the significance of MCM4 in different types of cancer. Despite the existing research on this topic, a comprehensive analysis of MCM4 across various cancer types has been lacking. This study aims to bridge this knowledge gap by presenting a thorough pan-cancer analysis of MCM4, shedding light on its functional implications and potential clinical applications. The study utilized multi-omics samples from various databases. Bioinformatic tools were employed to explore the expression profiles, genetic alterations, phosphorylation states, immune cell infiltration patterns, immune subtypes, functional enrichment, disease prognosis, as well as the diagnostic potential of MCM4 and its responsiveness to drugs in a range of cancers. Our research demonstrates that MCM4 is closely associated with the oncogenesis, prognosis and diagnosis of various tumors and proposes that MCM4 may function as a potential biomarker in pan-cancer, providing a deeper understanding of its potential role in cancer development and treatment.

Synthesis of novel (R)-carvone-tagged thiazolidinone as anticancer leads: characterization, in vitro antiproliferative evaluation and in silico studies

This work describes the successful synthesis of a series of three novel thiazolidinone-carvone-O-alkyl hybrids through a two-step approach involving heterocyclization and O-alkylation reactions. Comprehensive structural characterization of the obtained products was achieved using NMR and HRMS spectroscopic techniques. This study assessed in vitro antiproliferative activity of synthesized thiazolidinone-carvone-O-alkyl hybrids (5a–c) against various human cancer cell lines, viz. HT-1080 (fibrosarcoma), A-549 (lung cancer), MCF-7 (breast cancer) and MDA-MB-231 (breast cancer). MTT assay revealed promising results for compounds 5b and 5c, demonstrating good antiproliferative activity against A-549 and MCF-7 cell lines comparable to the positive control, Doxorubicin. Compound 5a, harbouring an O-acetoxy group, displayed limited anticancer activity against MCF-7 and MDA-MB-231 cells, with IC50 values of 69.33 ± 0.42 µM and >100 µM, respectively. Docking results confirmed that the compounds 5a–c binds at the active site of p21 with docking scores −2.0, −4.8, and −7.0 kcal/mol, respectively. Compound 5a-c also showed good binding potential against Bcl2 protein with docking score of −4.9, −6.0, −5.5 kcal/mol, respectively. Furthermore, binding energy analysis and dynamics simulation studies of compounds towards p21 and Bcl2 yielded promising results. In PAK4 assay, compound 5c showed comparable potency (IC50 6.76 µM) with the standard control UC2288 (IC50 6.40 µM), while in BCL-2 TR-FRET assay, 5c exhibited good inhibition (IC50 1.78 µM) as compared to Venetoclax (IC50 0.016 µM). In conclusion, compounds 5a-c could be used as a structural framework for the discovery of novel therapeutics to combat different types of cancer. Communicated by Ramaswamy H. Sarma

Immune Checkpoint Inhibitors and Male Fertility: Should Fertility Preservation Options Be Considered before Treatment?

In recent years, immune checkpoint inhibitors (ICIs) have become a viable option for many cancer patients, including specific subgroups of pediatric patients. Despite their efficiency in treating different types of cancer, ICIs are responsible for a number of immune-related adverse events, including inflammatory toxicities, that can affect several organs. However, our knowledge of the impact of ICIs on the testis and male fertility is limited. It is possible that ICI treatment affects testicular function and spermatogenesis either directly or indirectly (or both). Treatment with ICIs may cause increased inflammation and immune cell infiltration within the seminiferous tubules of the testis, disturbing spermatogenesis or testosterone deficiency (primary hypogonadism). Additionally, the interference of ICIs with the hypothalamic-pituitary-gonadal axis may alter testosterone production, affecting testicular function (secondary hypogonadism) and spermatogenesis. This review provides an overview of the available evidence on the potential association between ICIs and the disruption of spermatogenesis, with special focus on ICIs targeting cytotoxic T-lymphocyte-associated protein 4 (CTLA-4), programmed death protein 1 (PD-1) and programmed death-ligand 1 (PD-L1). Moreover, it highlights the need for further investigations and encourages the discussion of associated risks and fertility-preservation considerations between clinicians and patients.