Solid Tumor Tissue Research Articles

Evaluation of drug delivery vehicles for improved transduction of oncolytic adenoviruses in solid tumor tissue

Background: Oncolytic viruses are promising tools for immune stimulatory gene therapy of cancer, but their clinical effect on solid tumors have so far been limited. Transduction of the target tumor cells is limited by both extracellular matrix that blocks viral spread within the solid tumor tissue and electrostatic forces that inhibit virus from binding its entry receptor on the cell surface. The enzymes hyaluronidase and collagenase and the polycations diethylaminoethyl (DEAE)-dextran, branched Polyethylenimine (PEI) and protamine sulfate have previously shown potential to improve gene transfer in different forms of viral gene therapy, since they may help the virus to overcome these barriers. In this study, we compared the transduction-enhancing potential of these substances when used as vehicles for adenoviral transduction in solid tumor tissue. Methods: Subcutaneous tumors of pancreatic ductal adenocarcinoma were established in mice and treated with a mix of adenoviral vector Adf35(GFP-Luc) and either one of the selected vehicles. Transduction efficacy was determined by quantification of the viral transgene expression level using live imaging. Results: Addition of hyaluronidase tripled the transgene expression of Adf35(GFP-Luc) when compared to virus alone. No such positive effect was seen for the other tested vehicles. Conclusions: Out of the tested candidates, hyaluronidase showed the best potential to facilitate viral spread in tumor tissue and transduction of tumor cells. Therefore, hyaluronidase may be used as vehicle to improve clinical efficacy of oncolytic virotherapies.

Magnetically Controlled Transport of Nanoparticles in Solid Tumor Tissues and Porous Media Using a Tumor-on-a-Chip Format.

This study addresses issues in developing spatially controlled magnetic fields for particle guidance, synthesizing biocompatible and chemically stable MNPs and enhancing their specificity to pathological cells through chemical modifications, developing personalized adjustments, and highlighting the potential of tumor-on-a-chip systems, which can simulate tissue environments and assess drug efficacy and dosage in a controlled setting. The research focused on two MNP types, uncoated magnetite nanoparticles (mMNPs) and carboxymethyl dextran coated superparamagnetic nanoparticles (CD-SPIONs), and evaluated their transport properties in microfluidic systems and porous media. The original uncoated mMNPs of bimodal size distribution and the narrow size distribution of the fractions (23 nm and 106 nm by radii) were demonstrated to agglomerate in magnetically driven microfluidic flow, forming a stable stationary web consisting of magnetic fibers within 30 min. CD-SPIONs were demonstrated to migrate in agar gel with the mean pore size equal to or slightly higher than the particle size. The migration velocity was inversely proportional to the size of particles. No compression of the gel was observed under the magnetic field gradient of 40 T/m. In the brain tissue, particles of sizes 220, 350, 820 nm were not penetrating the tissue, while the compression of tissue was observed. The particles of 95 nm size penetrated the tissue at the edge of the sample, and no compression was observed. For all particles, movement through capillary vessels was observed.

Siglec15 in blood system diseases: from bench to bedside.

Inhibiting the PD-1/PD-L1 pathway using immunomodulators has demonstrated promising outcomes in clinics. Immunomodulators can effectively target immune checkpoints with a strong preference for the tumor microenvironment (TME). Besides, immunomodulators specifically target the recently discovered inhibitory immune checkpoint, sialic acid-binding immunoglobulin-like lectin (Siglec-15). Distinctive in its molecular composition, Siglec-15 has a unique molecular composition and been shown to be highly prevalent in numerous solid tumor tissues and tumor-associated macrophages (TAMs) in human subjects. Notably, Siglec-15 is up-regulated across various cancer types. As a result, Siglec-15 has attracted significant attention due to its exclusive nature concerning PD-L1 expression, suggesting its role in immune evasion in patients lacking PD-L1. Siglec-15 predominantly appears in certain populations and can promote tumor development by repressing T lymphocyte activation and proliferation, thereby facilitating tumor cell immune escape. Furthermore, Siglec-15 is implicated in osteoclast differentiation and bone remodeling, indicating that it is a promising target for next-generation cancer immunotherapies. Additionally, Siglec-15 can modulate immune responses to microbial infections. The current treatment strategies for hematological conditions predominantly include conventional intensive chemotherapy and transplantation methods. However, emerging immunotherapeutic approaches are increasingly recognized for their overall effectiveness, indicating that specific molecular targets should be identified. The expression of Siglec-15 within tumor cells may indicate a novel pathway for treating hematological malignancies. In this study, the biological attributes, expression patterns, and pathogenic mechanisms of Siglec-15 across various diseases were reviewed. The role of Siglec-15 in the pathogenesis and laboratory diagnosis of hematological disorders was also evaluated.

An in vitro investigation into the cytotoxic impact of antigen-presenting dendritic cell-tumor infiltrating lymphocytes on ovarian cancer cells

ObjectiveThe objective of this study is to develop a novel therapeutic approach for the treatment of ovarian cancer while investigating the role of tumor-infiltrating lymphocytes (TILs) in the context of ovarian cancer therapy. The primary aim is to establish a technical procedure for the isolation of tumor cells, lymphocytes, and dendritic cells (DCs) derived from ovarian cancer tissues or ascites. Subsequently, the focus lies on the generation of dendritic cell-tumor infiltrating lymphocytes (DC-TILs) exhibiting specific cytotoxic capabilities aimed at targeted therapeutic interventions. The cytotoxic impact of DC-TIL interactions on tumor cells was investigated through in vitro experimentation. This research aims to provide fundamental experimental insights for the future clinical advancement of TIL therapy in ovarian cancer.MethodsThe experimental samples included fresh surgical specimens and ascites specimens procured from three patients (ranging in age from 32 to 75), sourced from the Department of Gynecology at the Third Bethune Hospital of Jilin University. TILs were extracted through in vitro isolation from solid tumor tissues, while primary tumor cells and DCs were obtained from ascites specimens. Tumor-specific antigens derived from patient tumor cells were utilized to stimulate the maturation of DCs. TILs were subsequently co-cultured with antigen-stimulated DC cells. Subsequently, TILs with specific killing effects were obtained, and the cytotoxic impact of DC-TILs on tumor cells was detected in vitro.Results(1) TILs were successfully obtained through expansion from the tumor tissue of a patient diagnosed with ovarian cancer. (2) DCs were successfully induced from ascites cells harvested from patients diagnosed with ovarian cancer. (3) TILs significantly enhanced the cytotoxicity of tumor cells following DC stimulation.ConclusionTILs have the capacity to augment the cytotoxicity directed towards tumor cells following DC stimulation.

Multi-phoretic nanomotor with consistent motion direction for enhanced cancer therapy

Nanomotors have emerged as promising candidates for the deep penetration of loaded drugs into cancer stem cells (CSCs) located within the core of tumor tissues. A crucial factor in maximizing the clinical potential of nanomotors lies in their ability to respond dynamically to various stimuli in the tumor microenvironment. By adjusting their propulsion mechanisms in response to various stimuli, nanomotors can maintain directional movement, thus improving drug distribution and therapeutic efficacy. In this study, we present the design of a pH-responsive multi-phoretic propelled Janus nanomotor, comprising a SiO2@Pt core@shell nanosphere and half-wrapped acrylic acid polymers (PAA)-conjugated gold (Au) nanoparticles (JMSNs@Pt@P-Au). The JMSNs@Pt@P-Au catalyze endogenous H2O2 into O2, propelling the nanomotors into solid tumors. Within the tumor microenvironment, the contraction of PAA triggers contact between the Au and Pt layers, facilitating self-electrophoresis propulsion. Simultaneously, a local thermal gradient is generated on the Au layer under near-infrared light irradiation, propelling the nanomotor through thermophoresis. Exploiting the unique structure of JMSNs@Pt@P-Au, the driving forces generated by H2O2 catalysis, self-electrophoresis, and thermophoresis exhibit consistent motion directions. This consistency not only provides thrust for deep penetration but also enhances their targeted therapeutic efficiency against CSCs in vivo. This combination of nanomotor-driven power sources holds significant potential for designing intelligent, active drug delivery systems for effective CSC-targeted cancer therapy. Statement of SignificanceDeep penetration of nanomedicine in solid tumor tissue and cells is still an important challenge that restricts the therapeutic effect. Multiple-propelled nanomotors have been confirmed to be self-propulsive that overcome the limited penetration in solid tumor. However, their effective translation toward clinical applications is limited due to the inability to alter their propelled mechanisms in response to the actual physiological environment, resulting in speed and inconsistent movement directions. In this work, we designed a multi-phoretic propelled Janus nanomotor (JMSNs@Pt@P-Au) that exhibited three propelled mechanisms in response to the changes of pH value. Noteworthy is their heightened speed and remarkable tumor tissue penetration observed in vitro and in vivo without adverse effects. Such multi-phoretic propulsion offers considerable promise for developing advanced nanomachines with a stimuli-responsive switch of propulsion modes in biomedical applications.

Mathematical modeling insights into improving CAR T cell therapy for solid tumors with bystander effects

As an adoptive cellular therapy, Chimeric Antigen Receptor T cell (CAR T cell) therapy has shown remarkable success in hematological malignancies but only limited efficacy against solid tumors. Compared with blood cancers, solid tumors present a series of challenges that ultimately combine to neutralize the function of CAR T cells. These challenges include, but are not limited to, antigen heterogeneity - variability in the expression of the antigen on tumor cells, as well as trafficking and infiltration into the solid tumor tissue. A critical question for solving the heterogeneity problem is whether CAR T therapy induces bystander effects, such as antigen spreading. Antigen spreading occurs when CAR T cells activate other endogenous antitumor CD8 T cells against antigens that were not originally targeted. In this work, we develop a mathematical model of CAR T cell therapy for solid tumors that considers both antigen heterogeneity and bystander effects. Our model is based on in vivo treatment data that includes a mixture of target antigen-positive and target antigen-negative tumor cells. We use our model to simulate large cohorts of virtual patients to better understand the relationship involving bystander killing. We also investigate several strategies for enhancing bystander effects, thus increasing CAR T cell therapy’s overall efficacy for solid tumors.

Enhancing tumor penetration: GSH-sensitive paclitaxel liposomes modified with Dermaseptin-PP

The dense structure of solid tumor tissues and the selective permeability of cell membranes impede the effective penetration of chemotherapeutic agent-loaded liposomes into tumors and their subsequent uptake by cells. Dermaseptin-PP, a cationic antimicrobial peptide, has demonstrated the ability to enhance the penetration and accumulation of drugs within solid tumors due to its unique membrane-breaking action. Based on this, we designed glutathione (GSH)-sensitive paclitaxel liposomes modified with Dermaseptin-PP. Dermaseptin-PP was modified through disulfide bonding, which could be broken at the tumor site due to high GSH levels. This cleavage resulted in the release of Dermaseptin-PP, thereby enhancing the permeability of the paclitaxel liposomes within the tumor. We found that the paclitaxel liposomes modified with Dermaseptin-PP were extensively distributed to the tumor site, and the Dermaseptin-PP modification significantly enhanced liposome penetration within the tumor. Our study significantly increased the anti-tumor efficacy of paclitaxel liposomes. Our study confirms that paclitaxel liposomes modified with Dermaseptin-PP is an effective anti-tumor therapy that enhances deep penetration into tumors. Additionally, this broadens the applications of cationic antimicrobial peptides.

Peripheral immune biomarkers for immune checkpoint inhibition of solid tumours.

With the rapid adoption of immunotherapy for the treatment of cancer comes the pressing need for readily accessible biomarkers to guide immunotherapeutic strategies and offer insights into outcomes with specific treatments. Regular sampling of solid tumour tissues outside of melanoma for immune monitoring is not often feasible; conversely, routine, frequent interrogation of circulating immune biomarkers is entirely possible. As immunotherapies and immune checkpoint inhibitors, in particular, are more widely used in first-line, neoadjuvant, and metastatic settings, the discovery and validation of peripheral immune biomarkers are urgently needed across solid tumour types for improved prediction and prognostication of clinical outcomes in response to immunotherapy, as well as elucidation of mechanistic underpinnings of the intervention. Careful experimental design, encompassing both retrospective and prospective studies, is required in such biomarker identification studies, and concerted efforts are essential for their advancement into clinical settings. In this review, we summarize shared immune features between the tumour microenvironment and systemic circulation, evaluate exploratory peripheral immune biomarker studies, and discuss associations between candidate biomarkers with clinical outcomes. We also consider integration of multiple peripheral immune parameters for better prediction and prognostication and discuss considerations in study design to further evaluate the clinical utility of candidate peripheral immune biomarkers for immunotherapy of solid tumours. Peripheral immune biomarkers are critical for improved prediction and prognostication of clinical outcomes for patients with solid tumours treated with immune checkpoint inhibition. Candidate peripheral biomarkers, such as cytokines, soluble factors, and immune cells, have potential as biomarkers to guide immunotherapy of solid tumours. Multiple peripheral immune parameters may be integrated to improve prediction and prognostication. The potential of peripheral immune biomarkers to guide immunotherapy of solid tumours requires critical work in biomarker discovery, validation, and standardization.

The role of methylation quantification of circulating tumor DNA (ctDNA) as a diagnostic biomarker of Pheochromocytomas (PCCs) and Paragangliomas (PGLs).

Circulating tumor DNAs (ctDNAs) are fragments of malignant tissue DNA that can simply signify the real time genetic change and epigenetic modification of a solid tumor tissue. Pheochromocytomas (PCCs) and Paragangliomas (PGLs) are malinancy of adrenal gland tissue that have the possible diagnosis by ctDNAs. In this study the methylation quanifcation of three target genes RDBP, SDHB, and SDHC in the ctDNA of PCCs/PGLs patients were measured as a diagnostic biomarker. The biological samples include blood and fresh frozen tissue of twelve PCCs/PGLs patients and blood of 12 non tumoral patients as controls were recruited. Semi quantification methylation status of RDBP, SDHB, and SDHC (two CpG lslands of each gene named 1 and 2) was assesed between PCCs/PGLs patients and controls by Methylation specific-high resolution melting (MS-HRM) technique. Between six candidate CpG island of RDBP, SDHB, and SDHC, promoter methylation quantification of SDHC1 and RDBP2 was expressively unsimilar in PCCs/PGLs compare to the controls. SDHC1 was hypermethylated in 49.93% of PCCs/PGLs cases vs. 8.33% of control samples, p-value: 0.026, area under curve AUC = 0.757, and RDBP2 in 74.9% of PCCs/PGLs cases vs. 25.0% of control samples, p-value: 0.032, AUC = 0.750. Our result shows that the ctDNA hypermethylation of SDHC1 and RDBP2 have role in tumorgenesis of adrenal gland and can consider for diagnosis of PCCs/PGLs. The online version contains supplementary material available at 10.1007/s40200-024-01466-8.

Novel Methodology for the Design of Personalized Cancer Vaccine Targeting Neoantigens: Application to Pancreatic Ductal Adenocarcinoma.

Personalized cancer vaccines have emerged as a promising avenue for cancer treatment or prevention strategies. This approach targets the specific genetic alterations in individual patient's tumors, offering a more personalized and effective treatment option. Previous studies have shown that generalized peptide vaccines targeting a limited scope of gene mutations were ineffective, emphasizing the need for personalized approaches. While studies have explored personalized mRNA vaccines, personalized peptide vaccines have not yet been studied in this context. Pancreatic ductal adenocarcinoma (PDAC) remains challenging in oncology, necessitating innovative therapeutic strategies. In this study, we developed a personalized peptide vaccine design methodology, employing RNA sequencing (RNAseq) to identify prevalent gene mutations underlying PDAC development in a patient solid tumor tissue. We performed RNAseq analysis for trimming adapters, read alignment, and somatic variant calling. We also developed a Python program called SCGeneID, which validates the alignment of the RNAseq analysis. The Python program is freely available to download. Using chromosome number and locus data, SCGeneID identifies the target gene along the UCSC hg38 reference set. Based on the gene mutation data, we developed a personalized PDAC cancer vaccine that targeted 100 highly prevalent gene mutations in two patients. We predicted peptide-MHC binding affinity, immunogenicity, antigenicity, allergenicity, and toxicity for each epitope. Then, we selected the top 50 and 100 epitopes based on our previously published vaccine design methodology. Finally, we generated pMHC-TCR 3D molecular model complex structures, which are freely available to download. The designed personalized cancer vaccine contains epitopes commonly found in PDAC solid tumor tissue. Our personalized vaccine was composed of neoantigens, allowing for a more precise and targeted immune response against cancer cells. Additionally, we identified mutated genes, which were also found in the reference study, where we obtained the sequencing data, thus validating our vaccine design methodology. This is the first study designing a personalized peptide cancer vaccine targeting neoantigens using human patient data to identify gene mutations associated with the specific tumor of interest.

Overview of the Role of Liquid Biopsy in Non-small Cell Lung Cancer (NSCLC)

Solid tumour tissue has traditionally been used for cancer molecular diagnostics. Recently, biomarker assessment in blood or liquid biopsies has become relevant because it allows genotyping in a less invasive and costly manner. In addition, it is a very useful technique in cases with insufficient tumour samples.Recent data have shown that this method can provide the baseline molecular characteristics of the tumour and resistance changes that emerge during cancer treatment. In terms of diagnostic application, the platforms available for clinical use in lung cancer focus on the isolation and detection of circulating DNA (ctDNA) and generally cover a limited number of mutations in genes such as epidermal growth factor receptor (EGFR), Kirsten rat sarcoma viral oncogene homolog (KRAS) and BRAF, as well as anaplastic lymphoma kinase (ALK) rearrangements. In parallel, there are plasma genotyping platforms based on next-generation sequencing (NGS) techniques, which are much broader in scope, allowing multiple genes to be studied simultaneously in a more efficient manner.More recently, promising research scenarios for liquid biopsy have emerged, such as its utility for early diagnosis and evaluation of minimal residual disease after oncological treatment.In light of these advances, knowledge of the benefits and limitations of liquid biopsy, as well as awareness of emerging information on new indications for this technique in non-small cell lung cancer (NSCLC), are of paramount importance in developing more effective management strategies for patients with this neoplasm.

A comprehensive preanalytical protocol for fresh solid tumor biospecimens

Nearly seventy percent of diagnostic lab test errors occur due to variability in preanalytical factors. These are the parameters involved with all aspects of tissue processing, starting from the time tissue is collected from the patient in the operating room, until it is received and tested in the laboratory. While there are several protocols for transporting fixed tissue, organs, and liquid biopsies, such protocols are lacking for transport and handling of live solid tumor tissue specimens. There is a critical need to establish preanalytical protocols to reduce variability in biospecimen integrity and improve diagnostics for personalized medicine. Here, we provide a comprehensive protocol for the standard collection, handling, packaging, cold-chain logistics, and receipt of solid tumor tissue biospecimens to preserve tissue viability.

Paired matched normal sequencing to accurately identify somatic clonal hematopoiesis mutations (CHm) in solid tumor tissue and plasma specimens.

3051 Background: Clonal hematopoiesis (CH), characterized by the presence of somatic mutations in blood cells, can be found in cancer-related genes when sequencing tumor tissue or plasma samples. Inability to distinguish somatic, tumor-derived mutations from CHm can lead to inaccurate treatment decisions. In this prospective study, we confirmed potential CHm in solid tumors by sequencing and analysis of paired matched normal (PMN) specimens. Methods: We prospectively enrolled 56 patients diagnosed with advanced cancer, including lung (16), colorectal (13), breast (10), gastric (7), ovarian (2), pancreatic (2), liver (2), cervix (1), uterine (1), fallopian tube (1), and perihilar bile duct (1). Targeted next-generation sequencing using a 523 gene panel was performed on paired formalin-fixed paraffin-embedded (FFPE) and circulating tumor DNA (ctDNA) samples. Additionally, whole exome sequencing was performed on PMN buffy coat samples. Analysis of all three specimens was performed to classify somatic mutations as tumor-derived or CHm. Results: We identified 21 potential CHm within the FFPE and ctDNA samples of 13 patients (23.2% of the cohort) with lung (7), breast (2), liver (2), colorectal (1), and gastric (1) cancers. CHm were further confirmed when present in buffy coat samples. The VAF of CHm in FFPE and ctDNA samples exhibited a wide range, spanning from 0.85% to 38.4%, with 7 of those identified at <2% VAF. For these same aberrations, VAF in buffy coat samples ranged from 1.6% to 48%, with seven mutations exhibiting VAF levels <5%. Four of these CHm were classified as oncogenic or likely oncogenic. Four CHm, including an oncogenic TP53 mutation, were identified in the oldest patient (75 years old, lung cancer), while an oncogenic DNMT3A mutation was detected in the youngest patient (42 years old, breast cancer). Both had a 30-year history of smoking. Conclusions: Our findings identified somatic CHm in a substantial subset (23.2%) of solid tumors, with four identified as oncogenic or likely oncogenic mutations. The broad spectrum of VAFs for CHm suggests that using VAF as a cut-off to exclude likely CHm may be unreliable. The low VAF CHm found in matched normal specimens indicates low-pass sequencing may not detect critical CHm, even in paired analysis. The diverse age range of patients with CHm (42 to 75 years old) suggests that CHm are not restricted to older populations, and that additional factors, such as smoking history, may play a role. These findings underscore the importance of incorporating routine PMN buffy coat sequencing into clinical practice, to identify somatic CHm that can impact personalized cancer treatment strategies.

Characterization of diverse targetable ERBB2 alterations in 512,993 patients with solid tumors.

3129 Background: Trastuzumab deruxtecan (T-DXd) is an antibody-drug conjugate (ADC) that has demonstrated activity against a range of HER2-expressing and HER2-mutant (mut) solid tumors. We present an extensive landscape of ERBB2 alterations (alt) that may predict sensitivity to HER2-targeted therapies in development with a focus on mutations and cancer types without approved indications. Methods: We queried institutional databases (MSKCC and Foundation Medicine, Inc.) of comprehensive genomic profiling (CGP) performed on solid tumor tissue samples using either MSK-IMPACT (N=83,332; MSK) or FoundationOne/FoundationOne CDx (N=429,661; FMI) and on patient-matched liquid biopsies using FoundationOne Liquid CDx (N=1,922). ctDNA tumor fraction (ctDNA TF) on FoundationOne Liquid CDx was estimated using a composite algorithm. Clinicopathological characteristics and treatment outcomes were annotated for MSK-IMPACT samples. Results: ERBB2 activating alt were detected in 6.6% (n=28,508) and 5.0% (n=4,133) of tumors in the FMI and MSK cohorts, respectively. In FMI tissue samples, ERBB2 alt were most prevalent in gastroesophageal (GEC; 18.1%), bladder (18.0%), salivary gland (14.1%), breast (12.7%), and uterine (12.1%) cancers. The cancer types with the largest number of ERBB2mut tumors, specifically, included NSCLC (n=1,618, 1.9%), breast (n=1,565, 3.5%), colorectal (CRC; n=1,221, 2.3%), bladder (n=855, 8.8%), and GEC (n=660, 3.4%). Across these 5 cancers, ERBB2 mut were most commonly located in the kinase domain (KD; 58%), followed by the extracellular domain (ECD; 28%) and transmembrane domain (TMD; 2%). Rare splice site mut and in-frame deletions resulting in exon 16 loss (Ex16Alt) were also observed (n=76, <0.1%). ERBB2 mut were found to be mutually exclusive with other RTK/MAPK driver oncogenes including: EGFR, KRAS, ALK, MET, BRAF, and RET in NSCLC; FGFR1 in breast cancer; BRAF in CRC; and FGFR3 in bladder cancer. In patient-matched liquid biopsy samples, sensitivity for detecting ERBB2 amplifications (amp; 33.3%, 43/129) was lower than for detecting ERBB2 mut (72.3%, 47/65) across select cancers. However, sensitivity for detection of both alts was improved in liquid samples with elevated ctDNA TF (≥1%), increasing to 52.6% (40/76) for amp and 97.3% (36/37) for mut. In the MSK cohort, 110 of 986 (11.2%) patients with ERBB2 mut non-NSCLC tumors received one or more HER2-targeted therapies, including ADCs. Clinical responses to HER2-targeted therapies were observed in patients harboring KD mut (n=10), ECD mut (n=6), TMD mut (V659E, n=1), and in 1 patient with a V697L mut. Conclusions: CGP detects diverse ERBB2activating alt at a high incidence in solid tumor types beyond NSCLC. These represent patient populations who may benefit from HER2-directed therapies. Trials of novel HER2-targeted agents are necessary to refine our understanding of the biological dependency of HER2 alterations.

Case Study: Heterogeneity of and CD44+/CD24- Cancer Stem Cell Subpopulation of Breast Cancer Patients in Bandung, Indonesia

Breast cancer (BC) cells characteristics have played a crucial role in clinical strategies decision-making and patient outcome prediction. Although there have been several studies examining this, there are still relatively few that analyze stem cell subpopulations or protein biomarkers. The conducted research sought to elucidate breast cancer subtype characteristics based on immunohistochemical analysis and cancer stem cell presence based on flow cytometry analysis in three breast cancer samples from Bandung, Indonesia. A flow cytometry analysis was conducted to determine how much CD44/CD24 was expressed as a marker of cancer stem cell in isolated BC cells using various cell references, such as cell lines of SKBR-3, MDA-MB-468, and Hs587T. Immunohistochemistry analysis was carried out to investigate the expression of p53, HER2, PGR, Ki67, and ER in sample tissue sections. According to histological analysis, 2 samples were solid mammary carcinoma, and 1 sample was mammary fibroadenoma. Immunohistochemistry and histological analysis showed that all BC tissues are classified as Luminal B. In addition, a large percentage of CD44+/CD24- subpopulation was found in isolated BC cells (> 90 % in patients 1 and 3; > 60 % in patient 2). All samples showed similarity to Hs587T cell line characteristic. This study has successfully characterized solid mammary tumors and mammary fibroadenoma with luminal B characteristics. All specimens contained a high proportion of cancer stem cells. HIGHLIGHTS The characteristics of breast cancer (BC) cells are essential factors in clinical strategy decision-making and patient outcome prediction Solid mammary tumor and mammary fibroadenoma were the cancer subtypes of isolated BC tissues from 3 different patients. The cancer subtypes found in 3 different patient’s isolated BC were solid mammary tumor and mammary fibroadenoma BC tissues from all 3 patients expressed different level of HER2, p53, Ki67, PGR and ER. Based on markers expressed, those BC tissues were classified as luminal B tumors Based on flow cytometry analysis, all BC tissues contained a high proportion of cancer stem cells indicated by the high proportion of CD44+/CD24- subpopulation GRAPHICAL ABSTRACT

Limning of HIF-2 and HIF-3 in the Tumor Microenvironment: Developing Concepts for the Treatment of Hypoxic Cancer.

Hypoxia, characterized by insufficient oxygen supply to tissues, is a significant factor in tumor growth and resistance to treatment. The hypoxia-inducible factor (HIF) signaling pathway is activated when oxygen levels decline, influencing cell activities and promoting tumor progression. HIF-1α and HIF-2α are the main targets for therapeutic intervention in tumors. Nevertheless, the significance of HIF-2α is often overlooked. This review examines the physiological role of HIF-2α in tumor growth and its involvement in tumor growth. HIFs, composed of hypoxia-responsive α and oxygeninsensitive β subunits, play a crucial role in controlling gene expression in both normal and solid tumor tissues under low oxygen levels. HIF-3α, formerly considered a detrimental modulator of HIF-regulated genes, exerts a transcriptional regulatory role by inhibiting gene expression through competition with HIF-1α and HIF-2α for binding to transcriptional sites in target genes under hypoxia. Recent research indicates that various HIF-3 variants exhibit distinct and potentially contrasting functionalities. Hypoxia often occurs during the initiation and progression of cancer formation. Recent research has discovered that HIF-2α, also known as endothelial PAS domain protein 1, has a significant impact on tumors. HIF-2α is a significant cancer-causing gene and a crucial predictor of prognosis in non-small cell lung cancer. However, due to limited research investigating the relationship between HIF-2α and small-cell lung cancer, it is not possible to reach a definitive conclusion. HIF-2α plays a vital function in cancer by preserving the stemness of cancer cells. This review provides a comprehensive overview of HIF-2 and the role of HIF-3 in various cancer-related processes, as well as its potential as a targeted therapeutic approach.

Nanomedicine Remodels Tumor Microenvironment for Solid Tumor Immunotherapy.

Although immunotherapy is relatively effective in treating hematological malignancies, their efficacy against solid tumors is still suboptimal or even noneffective presently. Compared to hematological cancers, solid tumors exhibit strikingly different immunosuppressive microenvironment, severely deteriorating the efficacy of immunotherapy: (1) chemical features such as hypoxia and mild acidity suppress the activity of immune cells, (2) the pro-tumorigenic domestication of immune cells in the microenvironment within the solid tumors further undermines the effectiveness of immunotherapy, and (3) the dense physical barrier of solid tumor tissues prevents the effective intratumoral infiltration and contact killing of active immune cells. Therefore, we believe that reversing the immunosuppressive microenvironment are of critical priority for the immunotherapy against solid tumors. Due to their unique morphologies, structures, and compositions, nanomedicines have become powerful tools for achieving this goal. In this Perspective, we will first briefly introduce the immunosuppressive microenvironment of solid tumors and then summarize the most recent progresses in nanomedicine-based immunotherapy for solid tumors by remodeling tumor immune-microenvironment in a comprehensive manner. It is highly expected that this Perspective will aid in advancing immunotherapy against solid tumors, and we are highly optimistic on the future development in this burgeoning field.

Abstract 4972: Bioinformatic analysis of an annotated genomic database is clinically useful in a private cancer center

Abstract Background: Sequencing of patient solid tumor tissue is not a common service provided by community cancer centers. Our community cancer center has collected and sequenced over 5,000 tumor tissue samples from patients with various types of cancer. Since April 2019, we have conducted whole-exome and whole-transcriptome sequencing and stored this data in an internal genomics database. To analyze large patient cohorts, we must first optimize bioinformatic workflows on a smaller scale, which can then be applied to studies of larger populations. Previous studies have shown BRAF mutations are associated with an increased activation of the mitogen-activated protein kinase (MAPK) pathway. We analyzed transcriptomes of a cohort of 30 patients with thyroid cancer, 15 with V600E BRAF mutations and 15 wild-type for BRAF, for MAPK Pathway Activation Scores (MPAS). MPAS serves as a transcriptomic measure of the activation state of the MAPK pathway and has been shown to be a reliable prognostic biomarker of MAPK activity. Method: We conducted a retrospective analysis of data from FFPE tumor samples sent to a commercial CLIA-certified laboratory from April 2019 to October 2023. Samples were profiled by whole exome, whole transcriptome sequencing and immunohistochemistry (IHC). Whole transcriptome sequencing (WTS) was executed using Illumina NovaSeq along with the Agilent SureSelect Human All Exon V7 bait panel. Resulting data were reported in transcripts per million (TPM) using the Salmon expression pipeline. MPAS was calculated using the expression profile of 10 MAPK-associated genes. Results: There was no significant difference in BRAF expression levels or MAPK activation between patients with BRAF mutant and BRAF wild-type thyroid cancer (median MPAS scores: -0.09 vs. 0.11, p=0.9). This analysis workflow will be repeated with a larger patient population of patients with melanoma in the future; however, the consistency of expression between the groups, the rank-order, and the low variability per group suggest that expression changes related to this BRAF mutation may occur upstream or via differential regulation of an indirect pathway. Rank-order statistics and percentiles become more precise as data per tumor type grows. Conclusions: Our community cancer center began building an internal genomics database including whole-exome and whole-transcriptome sequencing since 2019. This resource facilitates analysis of patient samples for tumor mutational burden, gene fusions, transcriptomic data, and other important characteristics which could reveal patterns or trends that inform cancer diagnosis and prognosis of other patients. Analysis of expression data for patients with advanced solid tumors who have mutations in genes of interest could inform on potential targeted treatments in the future. This study represents a single example of the potential of our internal clinically annotated genomics database. Citation Format: Carlos E. Zuazo, Sourat Darabi, David R. Braxton, Phillip Stafford, Michael J. Demeure. Bioinformatic analysis of an annotated genomic database is clinically useful in a private cancer center [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 4972.

BTN1A1 is a novel immune checkpoint mutually exclusive to PD-L1

BackgroundWhile Programmed cell death protein 1 (PD-1)/programmed cell death-ligand 1 (PD-L1) blockade is a potent antitumor treatment strategy, it is effective in only limited subsets of patients with cancer, emphasizing...

ILT2 and ILT4 Drive Myeloid Suppression via Both Overlapping and Distinct Mechanisms.

Solid tumors are dense three-dimensional (3D) multicellular structures that enable efficient receptor-ligand trans interactions via close cell-cell contact. Immunoglobulin-like transcript (ILT)2 and ILT4 are related immune-suppressive receptors that play a role in the inhibition of myeloid cells within the tumor microenvironment. The relative contribution of ILT2 and ILT4 to immune inhibition in the context of solid tumor tissue has not been fully explored. We present evidence that both ILT2 and ILT4 contribute to myeloid inhibition. We found that although ILT2 inhibits myeloid cell activation in the context of trans-engagement by MHC-I, ILT4 efficiently inhibits myeloid cells in the presence of either cis- or trans-engagement. In a 3D spheroid tumor model, dual ILT2/ILT4 blockade was required for the optimal activation of myeloid cells, including the secretion of CXCL9 and CCL5, upregulation of CD86 on dendritic cells, and downregulation of CD163 on macrophages. Humanized mouse tumor models showed increased immune activation and cytolytic T-cell activity with combined ILT2 and ILT4 blockade, including evidence of the generation of immune niches, which have been shown to correlate with clinical response to immune-checkpoint blockade. In a human tumor explant histoculture system, dual ILT2/ILT4 blockade increased CXCL9 secretion, downregulated CD163 expression, and increased the expression of M1 macrophage, IFNγ, and cytolytic T-cell gene signatures. Thus, we have revealed distinct contributions of ILT2 and ILT4 to myeloid cell biology and provide proof-of-concept data supporting the combined blockade of ILT2 and ILT4 to therapeutically induce optimal myeloid cell reprogramming in the tumor microenvironment.