Biomarkers For Patient Selection Research Articles

HSP90 inhibitor AUY922 suppresses tumor growth and modulates immune response through YAP1-TEAD pathway inhibition in gastric cancer

Heat shock protein 90 (HSP90), a vital chaperone involved in the folding and stabilization of various cellular proteins, regulates key functions in many tumor cells. In the context of gastric adenocarcinoma (GAC), where HSP90's role remains largely unexplored, we aimed to investigate the significance of HSP90 inhibitor, AUY922, in regulating the YAP1/TEAD pathway and its association with the tumor immune microenvironment (TME). Our results showed that AUY922 effectively inhibited GAC aggressiveness in both the invitro and invivo models, induced apoptosis, and cell-cycle arrest. Various functional assays elucidated that AUY922 potently inhibited the expression and interaction among YAP1/TEAD and HSP90, resulting in down-regulation of target functional genes. AUY922 additionally altered the tumor microenvironment (TME) into an inflamed state with increased cytokine production in T cells, including interferon gamma, granzyme B, and perforin, and inhibited M2 polarization of tumor-associated macrophages, rendering it a favorable partner for immune checkpoint inhibition. Our findings highlighted the suggestion of targeting HSP90 in GAC therapy via down-regulating YAP1/TEAD signaling. Additionally, our results suggest that AUY922's ability to reshape the GAC TME favoring the host sets the stage for a clinical trial that combines HSP90 and checkpoint inhibition, where HSP90 could serve as a biomarker for patient selection.

CTIM-18. HIGH LEVEL OF MUTATIONAL LOAD AND DIVERSITY OF TUMOR INFILTRATING T LYMPHOCYTES ARE FAVORABLE PROGNOSTIC MARKERS FOR CANCER SURVIVAL IN CHILDREN WITH RECURRENT MEDULLOBLASTOMA DURING ADOPTIVE CELLULAR THERAPY

Abstract BACKGROUND Adoptive cellular therapy (ACT) has shown remarkable efficacy in some patients with solid tumors, resulting in durable complete responses. A key mechanism behind this success is the targeting of neoantigens by T cells. There is culminating evidence that tumor-infiltrating lymphocytes (TILs) have a major effect on the clinical attributes of human cancer and can influence the tumor response to various therapy regimens. We have been sequencing RNA isolated from patient’s tumors to evaluate their mutational burden and identify tumor-specific neoantigens. Additionally, we have identified the entire repertoire of tumor-infiltrating lymphocytes in patients with recurrent medulloblastoma. METHODS Total tumor RNA was extracted from resected brain tumor specimens and after we applied in-house bulk RNA-Seq and TCR-Seq techniques using rapid amplification of cDNA ends (RACE) technology with the addition of a common adapter at the 5’ end. RESULTS & CONCLUSIONS Analysis of the 22 tumor tissues revealed that the frequency of non-synonymous mutations varied dramatically more than 10-fold among patients with recurrent medulloblastoma undergoing adoptive cellular therapy (Re-MATCH protocol, FDA IND BB-14058). Patients with shorter overall survival exhibited non-synonymous mutation frequencies between 0.113 and 0.335 mutations per megabase (Mb). Children with prolonged overall survival had higher mutation frequencies, ranging from 0.6 to 1.1 mutations per Mb. These findings highlight the potential of using mutational burden as a biomarker for patient selection and treatment customization, ultimately aiming to improve outcomes in ACT for recurrent medulloblastoma. Up to 2000 unique TCR clones were found among TIL populations in patients who responded well to ACT. Patients with poor outcomes had significantly lower TCR diversity, with only 10-40 unique TCR clones among TILs. The correlation between TCR diversity among TILs and clinical outcomes in pediatric brain tumors underscores the importance of a diverse T cell repertoire for the success of ACT.

Profile of Fruquintinib in the Management of Advanced Refractory Metastatic Colorectal Cancer: Design, Development and Potential Place in Therapy.

Colorectal cancer (CRC) is a prevalent and deadly cancer, with metastatic CRC (mCRC) often leading to poor outcomes despite advancements in screening and chemotherapy. Anti-angiogenic agents targeting vascular endothelial growth factor (VEGF) pathways have become essential in mCRC treatment. Bevacizumab, a VEGF inhibitor, was the first agent used in this context. However, drug resistance prompted the development of more selective inhibitors, such as fruquintinib, a tyrosine kinase inhibitor (TKI) that targets VEGFR-1, -2, and -3. Fruquintinib has shown promise in clinical trials, particularly for third-line mCRC treatment. The Phase III FRESCO trial in China demonstrated its efficacy, significantly improving overall survival (OS) and progression-free survival (PFS) compared to placebo, with manageable safety concerns like hypertension and hand-foot skin reactions. The FRESCO-2 trial extended these findings to European and North American populations, leading to a recent FDA approval for previously treated mCRC patients. The pharmacodynamic profile of fruquintinib includes potent inhibition of VEGFR, angiogenesis, and lymphangiogenesis. It has shown synergistic effects when combined with other treatments like chemotherapy and immune checkpoint inhibitors (ICIs). Current research focuses on exploring fruquintinib's combination with ICIs, such as PD-1 inhibitors, to enhance treatment efficacy, especially in microsatellite stable (MSS) CRC. Ongoing trials are investigating Fruquintinib's potential in combination with other therapies and its use in earlier lines of treatment. While promising, further studies are required to optimize its place in therapy and identify predictive biomarkers for better patient selection.

Targeting esophageal carcinoma: molecular mechanisms and clinical studies.

Esophageal cancer (EC)is identified as a predominant health threat worldwide, with its highest incidence and mortality rates reported in China. The complex molecular mechanisms underlying EC, coupled with the differential incidence of esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC) across various regions, highlight the necessity for in-depth research targeting molecular pathogenesis and innovative treatment strategies. Despite recent progress in targeted therapy and immunotherapy, challenges such as drug resistance and the lack of effective biomarkers for patient selection persist, impeding the optimization of therapeutic outcomes. Our review delves into the molecular pathology of EC, emphasizing genetic and epigenetic alterations, aberrant signaling pathways, tumor microenvironment factors, and the mechanisms of metastasis and immune evasion. We further scrutinize the current landscape of targeted therapies, including the roles of EGFR, HER2, and VEGFR, alongside the transformative impact of ICIs. The discussion extends to evaluating combination therapies, spotlighting the synergy between targeted and immune-mediated treatments, and introduces the burgeoning domain of antibody-drug conjugates, bispecific antibodies, and multitarget-directed ligands. This review lies in its holistic synthesis of EC's molecular underpinnings and therapeutic interventions, fused with an outlook on future directions including overcoming resistance mechanisms, biomarker discovery, and the potential of novel drug formulations.

Identifying biomarkers for treatment of uveal melanoma by T cell engager using a QSP model.

Uveal melanoma (UM), the primary intraocular tumor in adults, arises from eye melanocytes and poses a significant threat to vision and health. Despite its rarity, UM is concerning due to its high potential for liver metastasis, resulting in a median survival of about a year after detection. Unlike cutaneous melanoma, UM responds poorly to immune checkpoint inhibition (ICI) due to its low tumor mutational burden and PD-1/PD-L1 expression. Tebentafusp, a bispecific T cell engager (TCE) approved for metastatic UM, showed potential in clinical trials, but the objective response rate remains modest. To enhance TCE efficacy, we explored quantitative systems pharmacology (QSP) modeling in this study. By integrating a TCE module into an existing QSP model and using clinical data on UM and tebentafusp, we aimed to identify and rank potential predictive biomarkers for patient selection. We selected 30 important predictive biomarkers, including model parameters and cell concentrations in tumor and blood compartments. We investigated biomarkers using different methods, including comparison of median levels in responders and non-responders, and a cutoff-based biomarker testing algorithm. CD8+ T cell density in the tumor and blood, CD8+ T cell to regulatory T cell ratio in the tumor, and naïve CD4+ density in the blood are examples of key biomarkers identified. Quantification of predictive power suggested a limited predictive power for single pre-treatment biomarkers, which was improved by early on-treatment biomarkers and combination of predictive biomarkers. Ultimately, this QSP model could facilitate biomarker-guided patient selection, improving clinical trial efficiency and UM treatment outcomes.

Prognostic value of PEA3 subfamily gene expression in cholangiocarcinoma.

Cholangiocarcinoma (CCA) is a lethal malignancy with limited treatment options and poor prognosis. The PEA3 subfamily of E26 transformation specific genes: ETV1, ETV4, and ETV5 are known to play significant roles in various cancers by influencing cell proliferation, invasion, and metastasis. To analyze PEA3 subfamily gene expression levels in CCA and their correlation with clinical parameters to determine their prognostic value for CCA. The expression levels of PEA3 subfamily genes in pan-cancer and CCA data in the cancer genome atlas and genotype-tissue expression project databases were analyzed with R language software. Survival curve and receiver operating characteristic analyses were performed using the SurvMiner, Survival, and Procr language packages. The gene expression profiling interactive analysis 2.0 database was used to analyze the expression levels of PEA3 subfamily genes in different subtypes and stages of CCA. Web Gestalt was used to perform the gene ontology/ Kyoto encyclopedia of genes and genomes (GO/KEGG) analysis, and STRING database analysis was used to determine the genes and proteins related to PEA3 subfamily genes. ETV1, ETV4, and ETV5 expression levels were significantly increased in CCA. There were significant differences in ETV1, ETV4, and ETV5 expression levels among the different subtypes of CCA, and predictive analysis revealed that only high ETV1 and ETV4 expression levels were significantly associated with shorter overall survival in patients with CCA. GO/KEGG analysis revealed that PEA3 subfamily genes were closely related to transcriptional misregulation in cancer. In vitro and in vivo experiments revealed that PEA3 silencing inhibited the invasion and metastasis of CCA cells. The expression level of ETV4 may be a predictive biomarker of survival in patients with CCA.

Characterization of pre- and on-treatment soluble immune mediators and the tumor microenvironment in NSCLC patients receiving PD-1/L1 inhibitor monotherapy

BackgroundDespite the favorable therapeutic efficacy observed with ICI monotherapy, the majority of non-small cell lung cancer (NSCLC) patients do not respond. Therefore, identifying patients who could optimally benefit from ICI treatment remains a challenge.MethodsAmong 183 patients with advanced or recurrent NSCLC who received ICI monotherapy, we analyzed 110 patients whose pre- and post-treatment plasma samples were available. Seventy-three soluble immune mediators were measured at ICI initiation and 6 weeks later. To identify useful biomarkers, we analyzed the association of pre-treatment levels and on-treatment changes of soluble immune mediators with survival of patients. The associations of pre-treatment or on-treatment biomarkers with irAE development, PD-L1 expression, CD8+ TIL density, and neutrophil to lymphocyte ratio (NLR) were also analyzed.ResultsUnivariate analysis showed that pre-treatment biomarkers included 6 immune mediators, whereas on-treatment biomarkers included 8 immune mediators. Multivariate analysis showed that pre-treatment biomarkers included 4 immune mediators (CCL19, CCL21, CXCL5, CXCL10), whereas on-treatment biomarkers included 5 immune mediators (CCL7, CCL19, CCL23, CCL25, IL-32). IrAE development was associated with on-treatment change in CCL23. PD-L1 expression was associated with the pre-treatment levels of TNFSF13B and the on-treatment change in CCL25. CD8+ TIL density was associated with the pre-treatment CXCL10 level, whereas NLR was correlated with pre-treatment levels of CCL13 and CCL17.ConclusionWe identified several soluble immune mediators as pre-treatment and on-treatment biomarkers of survival in patients with NSCLC treated with ICI monotherapy. Some of these biomarkers were associated with other possible predictors, including irAE development, PD-L1 expression, CD8+ TIL density and NLR. Further large-scale studies are needed to establish biomarkers for patients with NSCLC who received ICI monotherapy.

A Comprehensive Review of Low-Dose Interleukin-2 (IL-2) Therapy for Systemic Lupus Erythematosus: Mechanisms, Efficacy, and Clinical Applications.

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that causes extensive inflammation and tissue destruction across several organs. Conventional therapies, such as nonsteroidal anti-inflammatory drugs (NSAIDs), corticosteroids, and immunosuppressive drugs, can have serious adverse effects and are not always successful. This study looks at the possibility of low-dose interleukin-2 (IL-2) therapy as a new treatment for SLE, focusing on its mechanics, effectiveness, and clinical applicability. Low-dose IL-2 treatment selectively increases and activates regulatory T cells (Tregs), which are essential for immunological tolerance but are often lacking in SLE patients. Unlike standard medicines, which widely inhibit the immune system, low-dose IL-2 provides a more tailored approach with fewer side effects. We examined preclinical and clinical research and discovered that low-dose IL-2 dramatically enhances Treg numbers and function, lowers disease activity, and improves clinical outcomes. The primary molecular processes include the stimulation of the Janus kinase - signal transducer of activators of transcription (JAK-STAT), phosphatidylinositol 3-kinase - protein kinase B (PI3K-Akt), and mitogen‑activated protein kinase (MAPK) pathways, which enhance Treg proliferation, survival, and activity. A thorough review of clinical studies finds that low-dose IL-2 treatment is well-tolerated and effective, with fewer side effects than biologics like belimumab and rituximab. Furthermore, IL-2 therapy provides prospects for combination therapies, which may improve therapeutic success by addressing numerous components of the immune response. Despite these encouraging findings, problems such as patient response variability and the need for long-term safety data persist. Future research should prioritize refining dose regimes, discovering biomarkers for patient selection, and investigating combination medicines. Addressing these issues might solidify low-dose IL-2 treatment as a cornerstone in SLE care, providing a more accurate and individualized approach to immune regulation while considerably improving patient outcomes.

Shifting the paradigm in personalized cancer care through next-generation therapeutics and computational pathology.

The incorporation of novel therapeutic agents such as antibody-drug conjugates, radio-conjugates, T-cell engagers, and chimeric antigen receptor cell therapies represents a paradigm shift in oncology. Cell-surface target quantification, quantitative assessment of receptor internalization, and changes in the tumor microenvironment (TME) are essential variables in the development of biomarkers for patient selection and therapeutic response. Assessing these parameters requires capabilities that transcend those of traditional biomarker approaches based on immunohistochemistry, in situ hybridization and/or sequencing assays. Computational pathology is emerging as a transformative solution in this new therapeutic landscape, enabling detailed assessment of not only target presence, expression levels, and intra-tumor distribution but also of additional phenotypic features of tumor cells and their surrounding TME. Here, we delineate the pivotal role of computational pathology in enhancing the efficacy and specificity of these advanced therapeutics, underscoring the integration of novel artificial intelligence models that promise to revolutionize biomarker discovery and drug development.

Navigating the future of pancreatic cancer treatment: Systematic review insights from immunotherapy clinical trials.

68 Background: Pancreatic cancer remains a formidable challenge, being the seventh leading cause of cancer-related deaths globally. Despite advances in medical science, survival rates have not significantly improved, primarily due to late diagnosis and the limited efficacy of conventional treatments. This study investigates the potential of immunotherapy, offering a new horizon for treatment strategies. Methods: A systematic review was conducted, encompassing Phase I-III clinical trials that utilized immunotherapy in treating pancreatic cancer. Databases such as PubMed/Medline, CINAHL, Scopus, and ClinicalTrials.Gov were searched following PRISMA guidelines. A total of 29 completed trials and 106 ongoing studies were analyzed, focusing on survival rates, response to treatment, and adverse events. Results: Analysis of 29 completed clinical trials revealed that immunotherapy could extend the median OS in selected cohorts, with a notable trial showing an increase in OS from 6 to 13.6 months in patients receiving PD-1 blockers. Phase I trials demonstrated a cumulative OS of 13.6 months and a PFS of 5.1 months across various interventions. Ongoing studies, numbering 106, are exploring a wide range of immunotherapeutic agents, aiming to improve these outcomes further. Adverse events were consistent with expectations for immunotherapy, indicating a manageable safety profile. The most promising interventions appear to be combination therapies that include checkpoint inhibitors, showing an increase in the 5-year survival rate of up to 30% for patients undergoing adjunctive treatment post-surgery. Conclusions: Immunotherapy presents a potential paradigm shift in the treatment of pancreatic cancer. However, more robust clinical trials are necessary to fully understand its efficacy and safety. Future research should focus on identifying biomarkers for patient selection and exploring combination therapies to enhance treatment responses. The disparity in access to these therapies, especially in low- and middle-income countries, underscores the need for global efforts to make advanced treatments more accessible.

Emerging advances in defining the molecular and therapeutic landscape of small-cell lung cancer.

Small-cell lung cancer (SCLC) has traditionally been considered a recalcitrant cancer with a dismal prognosis, with only modest advances in therapeutic strategies over the past several decades. Comprehensive genomic assessments of SCLC have revealed that most of these tumours harbour deletions of the tumour-suppressor genes TP53 and RB1 but, in contrast to non-small-cell lung cancer, have failed to identify targetable alterations. The expression status of four transcription factors with key roles in SCLC pathogenesis defines distinct molecular subtypes of the disease, potentially enabling specific therapeutic approaches. Overexpression and amplification of MYC paralogues also affect the biology and therapeutic vulnerabilities of SCLC. Several other attractive targets have emerged in the past few years, including inhibitors of DNA-damage-response pathways, epigenetic modifiers, antibody-drug conjugates and chimeric antigen receptor T cells. However, the rapid development of therapeutic resistance and lack of biomarkers for effective selection of patients with SCLC are ongoing challenges. Emerging single-cell RNA sequencing data are providing insights into the plasticity and intratumoural and intertumoural heterogeneity of SCLC that might be associated with therapeutic resistance. In this Review, we provide a comprehensive overview of the latest advances in genomic and transcriptomic characterization of SCLC with a particular focus on opportunities for translation into new therapeutic approaches to improve patient outcomes.

Emerging Strategies in Thyroid Cancer Immunotherapy: A Comprehensive Systematic Review and Meta-Analysis of Clinical Outcomes

Introduction: The most prevalent endocrine cancer is thyroid cancer (TC), which has a low death rate despite a rising frequency. In order to assess the clinical results of novel immunotherapeutic approaches in TC, this systematic review and meta-analysis will concentrate on treatment-related adverse events (AEs), overall response rate (ORR), progression-free survival (PFS), and overall survival (OS). Methods: A thorough search was done on PubMed, Embase, and ClinicalTrials.gov, covering research published between January 2018 and December 2023. The inclusion criteria were satisfied by 14 research, including a range of TC subtypes and study methodologies.Results: The effectiveness of immunotherapy varied throughout TC subtypes. In advanced TC with PD-L1 positivity, pembrolizumab showed a 9% ORR and a 7-month PFS. In advanced/metastatic TC, camrelizumab + famitinib demonstrated ORRs of 33.3%-62.5% and 8.4-month PFS. Patients who tested positive for PD-L1 had greater responses to spartalizumab (19% ORR) in ATC. Combination treatments, such as pembrolizumab and lenvatinib, demonstrated encouraging outcomes in ATC and poorly differentiated thyroid cancer (PDTC), with 34.3% ORRs and a significant increase in PFS. With the fixed-effects model, the pooled ORR was 40.8% (95% CI, 37.2%-44.5%), and with the random-effects model, it was 33.4% (95% CI, 20.8%-48.9%). Considerable heterogeneity (I2 = 94.4%, p < 0.01) demonstrated varying treatment outcomes across several immunotherapy protocols. Conclusion: Immunotherapy has promise in the treatment of advanced tuberculosis, especially aggressive forms such as ATC, especially when used in combination regimens. Subsequent investigations have to concentrate on refining combination tactics and finding biomarkers for patient selection.

The prognostic role of preoperative neutrophil-to-lymphocyte ratio in upper tract urothelial carcinoma.

The blood-based inflammatory marker, neutrophil-to-lymphocyte ratio (NLR), is a reliable prognostic biomarker for several cancers. Although the literature supports the correlation between preoperative NLR, clinicopathological characteristics, and oncological outcomes in upper tract urothelial carcinoma (UTUC), the cutoff of NLR is still debated. This study aimed to determine the prognostic value of NLR in patients with UTUC. This was a retrospective analysis of prospectively collected data from July 2012 to December 2022 evaluating patients with UTUC who underwent radical nephroureterectomy (RNU). NLR was calculated using the neutrophil and lymphocyte counts obtained a day before the surgery and the cutoff value was set as 2.5. Kaplan-Meier and Cox's proportional hazards regression were used to analyze the association between NLR and the oncological outcomes. The study included 91 patients (78 males, 13 females) in the final analysis with a median follow-up of 49 months (8-130). The mean age of the patients with NLR <2.5 and NLR ≥2.5 was 56.88 years and 56.35 years, respectively, and the pathological stage was pT1 in 48%, pT2 in 20.88%, pT3 in 27.47%, and pT4 in 3.30% of the patients. Multivariable Cox regression analysis showed that the preoperative NLR ≥2.5 was significantly associated (Hz = 7.17) with higher T stage, lymphovascular invasion, necrosis, nodal involvement, adjuvant chemotherapy, and worse overall survival (OS) (Hz = 9.87). The Kaplan-Meier analysis revealed an improved OS in patients with NLR <2.5, but a statistically significant difference in the recurrence-free survival was not found. Preoperative NLR is an easily available, inexpensive, and important prognostic biomarker of survival in patients with UTUC and has a potential role in risk stratification by predicting adverse clinicopathological characteristics.

Impact of cyclin dependent kinase 4/6 inhibitors on breast cancer brain metastasis outcomes

BackgroundCyclin dependent kinase 4/6 inhibitors (CDK4/6i) are recommended 1st line treatments in HR+HER2- metastatic breast cancer. However, the impact of prior CDK4/6i on the natural history of brain metastases (BM) is not well described. Materials and methodsWe reviewed retrospective data for 363 patients with HR+HER2- BM who received a CDK4/6i (CDK-Y) between 1 Jan 2015 to 31 July 2021 and 299 patients with HR+HER2- BM who did not receive a CDK4/6i (CDK-N) between 1 Jan 2010 to 31 Dec 2014.CNS PFS and OS were assessed in patients who received CDK4/6i after BM. OS from the time of BM development was assessed between patients who received CDK4/6i before BM and the CDK-N cohort ResultsIn the CDK-Y cohort of 363 patients, 203 (56 %) received a CDK4/6i before BM, 133 (37 %) received a CDK4/6i only after BM and 27 (7 %) received a CDK4/6i both before and after BM.Median CNS PFS was 21.4 months for patients receiving a CDK4/6i only after BM and 9.4 months for patients who received CDK4/6i both before and after BM (p = 0.006). Median OS was 24.9 months for patients receiving a CDK4/6i only after BM and 12.1 months for patients who received CDK4/6i both before and after BM (p = 0.0098). Median OS from time of BM development for patients receiving a CDK4/6i before BM versus the CDK-N cohort was 4.3 months and 7.7 months respectively (p = 0.0082). ConclusionsCDK4/6i exposure prior to BM may lead to development of resistance mechanisms which in turn reduces CNS PFS and OS upon rechallenging with a CDK4/6i after BM development. This motivates investigation of biomarkers for patient selection.

Cell cycle machinery in oncology: A comprehensive review of therapeutic targets.

The cell cycle is tightly regulated to ensure controlled cell proliferation. Dysregulation of the cell cycle machinery is a hallmark of cancer that leads to unchecked growth. This review comprehensively analyzes key molecular regulators of the cell cycle and how they contribute to carcinogenesis when mutated or overexpressed. It focuses on cyclins, cyclin-dependent kinases (CDKs), CDK inhibitors, checkpoint kinases, and mitotic regulators as therapeutic targets. Promising strategies include CDK4/6 inhibitors like palbociclib, ribociclib, and abemaciclib for breast cancer treatment. Other possible targets include the anaphase-promoting complex/cyclosome (APC/C), Skp2, p21, and aurora kinase inhibitors. However, challenges with resistance have limited clinical successes so far. Future efforts should focus on combinatorial therapies, next-generation inhibitors, and biomarkers for patient selection. Targeting the cell cycle holds promise but further optimization is necessary to fully exploit it as an anti-cancer strategy across diverse malignancies.

Pan-cancer analysis of super-enhancer-induced LINC00862 and validation as a SIRT1-promoting factor in cervical cancer and gastric cancer

Immune checkpoints inhibitors are effective but it needs more precise biomarkers for patient selection. We explored the biological significance of LINC00862 in pan-cancer by bioinformatics. And we studied its regulatory mechanisms using chromatin immunoprecipitation and RNA immunoprecipitation assays etc. TCGA and single-cell sequencing data analysis indicated that LINC00862 was overexpressed in the majority of tumor and stromal cells, which was related with poor prognosis. LINC00862 expression was related with immune cell infiltration and immune checkpoints expression, and had a high predictive value for immunotherapy efficacy. Mechanistically, LINC00862 competitively bound to miR-29c-3p to unleash SIRT1’s tumor-promoting function. SIRT1 inhibitor-EX527 were screened by virtual screening and verified by in vitro and vivo assays. Notably, acetyltransferase P300-mediated super-enhancer activity stimulated LINC00862 transcription. Collectively, LINC00862 could be a diagnostic and prognostic biomarker. LINC00862 could also be a predictive biomarker for immunotherapy efficacy. Super-enhancer activity is the driver for LINC00862 overexpression in cervical cancer and gastric cancer.

Abstract PO3-04-12: SUMIT-BC: Phase 2 randomized study of fulvestrant with or without the cyclin-dependent kinase 7 inhibitor (CDK7i) samuraciclib in advanced hormone receptor positive (HR+) breast cancer after CDK4/6i

Abstract Background: CDK7 has 3 critical roles in cancer: enhanced transcription of oncogenes and upregulation of anti-apoptotic genes, acceleration of the cell cycle through phosphorylation of other CDKs and driving estrogen receptor (ER) resistance to hormonal therapy. Inhibition of CDK7 is therefore a potential novel anti-cancer therapeutic strategy. In an initial single-arm evaluation samuraciclib (CT7001), a once daily (QD) oral CDK7 inhibitor has demonstrated a favourable safety profile and clinical activity in combination with fulvestrant, a selective estrogen receptor degrader (SERD), in patients with HR+/HER2- advanced breast cancer who have previously been treated with a CDK4/6 inhibitor. There was evidence of enhanced benefit in patients with no detectable TP53 mutation from baseline circulating tumor DNA (ctDNA) analysis and in patients without baseline liver metastases [1]. Samuraciclib is associated with low grade gastrointestinal (GI) adverse events such as nausea, vomiting and diarrhea managed with simple prophylaxis and patient counselling. An instant release capsule formulation was used in the initial clinical evaluation of samuraciclib requiring patients to take multiple capsules designed to rapidly release a large amount of material high in the GI tract. In this study a novel single tablet formulation will be administered which may enhance GI tolerability (2). This Phase 2 open-label randomised study will evaluate the efficacy, safety, pharmacokinetics and Quality of Life (QoL) impact of samuraciclib in combination with fulvestrant in comparison to a fulvestrant monotherapy control arm. Consistent with the principles of the current Project OPTIMUS initiative, 2 dose levels of samuraciclib will be evaluated [3]. All patients will undergo baseline ctDNA evaluation of TP53 mutation status to permit a prospective evaluation of its patient selection biomarker potential. Trial Design: Eligible patients will provide written informed consent, be aged 18 years or older, have histologically or cytologically confirmed ER+/HER2- advanced or metastatic breast cancer not amenable to resection or radiotherapy of curative intent, have received an aromatase inhibitor in combination with a CDK4/6 inhibitor in either the adjuvant or advanced setting, be receiving a luteinizing hormone-releasing hormone agonist if pre/perimenopausal and have RECIST v1.1 evaluable disease. Prior SERD, mammalian target of rapamycin inhibitor (mTORi) or chemotherapy for advanced breast cancer are not permitted. All patients will undergo baseline Guardant360 ctDNA analysis to establish their TP53 mutation status among others. 60 patients will be enrolled and will all receive fulvestrant 500mg IM administered on days 1, 15 and 29 and then monthly thereafter. Patients will be randomized 1:1:1 to fulvestrant alone, fulvestrant and samuraciclib 240mg QD or fulvestrant and samuraciclib 360mg QD. Patients will undergo RECIST v1.1 evaluation at baseline every 8-weeks until week 48, followed by every 12-weeks thereafter. The pharmacokinetics of samuraciclib and fulvestrant will be studied though the first 6 months of the study, with highest intensity during month 1. To evaluate Quality of Life (QoL) The Functional Assessment of Cancer Therapy -Breast questionnaire (FACT-B) will be completed. The primary endpoint is clinical benefit response at 24 weeks. Secondary endpoints are tolerability, progression free survival, overall response rate, duration of response, and the pharmacokinetics of fulvestrant and samuraciclib. QoL and correlations between ctDNA detectable TP53 mutations and efficacy/safety finding in this patient population will be reported. The study opened for recruitment in June 2023.

Addressing the Challenges of PD-1 Targeted Immunotherapy in Cancer Treatment

Background: Immune checkpoint inhibitors targeting the programmed cell death protein 1 (PD-1)/PD-ligand 1 (PD-L1) axis have revolutionized cancer treatment, demonstrating remarkable clinical efficacy across multiple malignancies. However, their broader applicability and therapeutic potential remain constrained by several challenges. Objective: This review aims to provide a comprehensive overview of the current challenges associated with PD-1 targeted immunotherapy, encompassing resistance mechanisms, patient selection, toxicity management, and the development of novel combination strategies. Methods: A comprehensive literature search was conducted across PubMed, Embase, and Web of Science databases to identify and critically analyze studies investigating the challenges and limitations of PD-1 targeted immunotherapy in cancer treatment. Results: The primary challenges identified include: (1) Intrinsic and acquired resistance mechanisms, such as alterations in antigen presentation, tumor microenvironment factors, and immune cell dysfunction; (2) Lack of reliable predictive biomarkers for patient selection and response monitoring; (3) Immune-related adverse events and their effective management; (4) Optimization of combination regimens with other immunotherapies, targeted therapies, or conventional treatments; (5) Financial and accessibility barriers limiting the broader implementation of immunotherapy. Conclusion: PD-1 targeted immunotherapy has transformed cancer treatment, addressing the current challenges is imperative to maximize its therapeutic potential and broaden its applicability. Ongoing research efforts focused on elucidating resistance mechanisms, developing predictive biomarkers, managing toxicities, and exploring novel combination strategies hold promise for overcoming these limitations. Interdisciplinary collaborations and continued investment in immunotherapy research are essential to ensure that the benefits of these groundbreaking therapies are accessible to a wider patient population.

Prognostic value of hemogram parameters in osteosarcoma: The French OS2006 experience.

Previous studies have shown that neutrophil-to-lymphocyte (NLR) ratio at diagnosis and early lymphocytes recovery on doxorubicin-based chemotherapy, may impact the outcome in patients with osteosarcoma (OST). This study aimed to evaluate the prognostic value of hemogram parameters in patients with OST treated with high-dose methotrexate and etoposide/ifosfamide (M-EI) chemotherapy. We retrospectively analyzed the prognostic value of various hemogram parameters at diagnosis and during therapy in a large consecutive cohort of patients with OST included in the French OS2006 trial and treated with M-EI chemotherapy. A total of 164 patients were analyzed. The median age was 14.7years (interquartile range [IQR]: 11.7-17). Median follow-up was 5.6years (IQR: 3.3-7.7years). Three-year event-free survival (EFS) and overall survival (OS) were 71.5% (95% confidence interval [CI]: 64%-78%) and 86.4% (95% CI: 80%-91%), respectively. In univariate analysis, blood count parameters at diagnosis and early lymphocyte recovery at Day 14 were not found prognostic of survival outcomes. By contrast, an increase of NLR ratio at Day 1 of the first EI chemotherapy (NLR-W4) was associated with reduced OS in univariate (p=.0044) and multivariate analysis (hazards ratio [HR]=1.3, 95% CI: 1.1-1.5; p=.002), although not with EFS. After adjustment on histological response and metastatic status, an increase of the ratio NLR-W4 of 1 was associated with an increased risk of death of 30%. We identified NLR-W4 as a potential early biomarker for survival in patients with OST treated with M-EI chemotherapy. Further studies are required to confirm the prognostic value of NLR and better identify immune mechanisms involved in disease surveillance.

Circulating Tumor DNA in Diffuse Large B-Cell Lymphoma: from Bench to Bedside?

Diffuse large B-cell lymphoma (DLBCL) is a curable disease with variable outcomes due to underlying heterogeneous clinical and molecular features-features that are insufficiently characterized with our current tools. Due to these limitations, treatment largely remains a "one-size-fits-all" approach. Circulating tumor DNA (ctDNA) is a novel biomarker in cancers that is increasingly utilized for risk stratification and response assessment. ctDNA is readily detectable from the plasma of patients with DLBCL but has not yet been incorporated into clinical care to guide treatment. Here, we describe how ctDNA sequencing represents a promising technology in development to personalize the care of patients with DLBCL. We will review the different types of ctDNA assays being studied and the rapidly growing body of evidence supporting the utility of ctDNA in different treatment settings in DLBCL. Risk stratification by estimation of tumor burden and liquid genotyping, molecular response assessment during treatment, and monitoring for measurable residual disease (MRD) to identify therapy resistance and predict clinical relapse are all potential applications of ctDNA. It is time for clinical trials in DLBCL to utilize ctDNA as an integral biomarker for patient selection, response-adapted designs, and surrogate endpoints. As more ctDNA assays become commercially available for routine use, clinicians should consider liquid biopsy when treatment response is equivocal on imaging. Incorporating MRD may also guide decision-making if patients experience severe treatment toxicities. Though important barriers remain, we believe that ctDNA will soon be ready to transition from bench to bedside to individualize treatment for our patients with DLBCL.