Primary Lymph Node Research Articles

Abstract 6875: PIM kinases alter the prostate tumor immune microenvironment

Abstract Prostate cancer is the second leading cause of cancer-related deaths in American men. While prostate cancer patients typically respond to androgen-deprivation therapy, androgen receptor signaling inhibitor (ARSI), and/or taxane chemotherapy, patients inevitably develop resistance, and the disease progresses to an untreatable and lethal form known as castrate resistant prostate cancer (CRPC). Immunotherapy has changed the treatment paradigm for many types of cancer; however, immune checkpoint inhibitors have not shown clinical benefits in CRPC. Clinical and preclinical evidence indicates that this lack of efficacy can largely be attributed to the immunosuppressive tumor microenvironment. Tumor associated macrophages (TAMs) secrete factors that promote tumor progression and suppress antitumor immunity, making them a promising therapeutic target. The Proviral Integration site for Moloney murine leukemia virus (PIM) kinases are serine/threonine kinases that are overexpressed in prostate cancer. PIM regulates many signaling pathways that promote cell proliferation and survival. However, how PIM kinase alters the prostate tumor immune microenvironment and impacts immunotherapy resistance is not well understood. We analyzed primary prostate and metastatic lymph node samples from treatment-naive metastatic hormone-sensitive prostate cancer patients. Prostate cancer samples with PIM1/PIM2/PIM3-high and -low expression were classified by top and bottom quartile, respectively. PIM high tumors had higher expression of immunostimulatory genes (IL1β, TNF, and TNFSF13), increased infiltration of M2 macrophages, B cells, and NK Cells, and a higher T cell inflamed score compared to PIM-low tumors. Our results demonstrate that PIM overexpressing prostate tumors display increased inflammation and infiltration of immunosuppressive immune cells, including M2 macrophages. Due to the changes observed in inflammation, we hypothesized that PIM kinase may regulate macrophage inflammatory signaling. We treated bone marrow derived macrophages with a PIM kinase inhibitor and showed that PIM inhibition suppresses inflammasome signaling and the release of the pro-inflammatory cytokine, IL-1β. Chronic inflammation can lead to the recruitment of TAMs, further promoting resistance to immune checkpoint inhibitors. Utilizing a syngeneic mouse model of prostate cancer, we demonstrated that PIM inhibition in combination with immune checkpoint blockade synergistically decreased tumor growth. Furthermore, immunoprofiling demonstrated that combination treatment enhances T cell activity. Overall, our results suggest that PIM kinase plays an important role in regulating the prostate tumor immune microenvironment and that PIM kinase may be a potential target to enhance the efficacy of immunotherapy for the treatment of prostate cancer. Citation Format: Amber N. Clements, Kai Sutterby, Sachin Kumar Deshmukh, Sharon Wu, Joanne Xiu, Alex Farrell, Milan Radovich, Chadi Nabhan, Elisabeth I. Heath, Rana R. McKay, Alejandro Recio-Boiles, Noel A. Warfel. PIM kinases alter the prostate tumor immune microenvironment [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 6875.

Abstract 4170: Artificial intelligence (AI)-based multi-modal approach using H&E and CT image for predicting treatment response of immune checkpoint inhibitor (ICI) in non-small cell lung cancer (NSCLC)

Abstract Background: Previously, AI-powered spatial tumor-infiltrating lymphocyte analysis in H&E whole-slide image (WSI) showed promising performance in predicting ICI outcomes. However, there were several innate limitations of tissue analysis, including the time lag between tissue biopsy and actual ICI administration, during which tumor microenvironment (TME) has changed, and analyzing a part of a single tumor tissue would not fully assess immunogenicity of multiple metastatic tumors. To overcome the challenges, we developed multiple-instance learning (MIL)-based models and applied them to predict the treatment response of ICI in a real-world dataset. Method: MIL-based models were trained under the cross-validation scheme for CT scans (N=456) separately, based on CT image analyzers. Lunit SCOPE IO (Lunit, South Korea), an AI-based H&E WSI analyzer, identifies various classes of cells within TME and segments tumor regions from WSI (AI-HE-TIL). An AI-based CT image analyzer detects nodules on the CT image (AI-CT). The final ensemble score per patient is computed by the average of all model predictions from CT and pathology image inputs. Single and ensemble performances for predicting responder and non-responder patients to ICI are measured in an independent cohort of 208 NSCLC patients. Results: In the overall cohort, the AUROC values for AI-HE-TIL, AI-CT, and the ensemble were 0.6372, 0.6759, and 0.7307, respectively. The high ensemble score group (≥ median) has prolonged progression-free survival (PFS) of ICI (median PFS 5.0 months vs 2.1 months, hazard ratio [HR] 0.54, P < 0.0001). It correlates with PD-L1 expression, as tumor proportion score (TPS) ≥ 50% subgroup had higher ensemble score (median 0.312 vs 0.257, P = 0.0295). Interestingly, among TPS ≥ 50% subgroup, the high ensemble score shows significantly favorable PFS of ICI (median PFS 6.7 months vs 2.9 months, HR 0.46, P = 0.0002). In subgroup analysis according to tissue harvest site (primary tumor vs lymph node or distant metastasis), the AUROC values of AI-HE-TIL and AI-CT for the subgroup harvested from the primary tumor (N=111) were 0.6568 and 0.6658, respectively, and those for the subgroup harvested from the metastatic lesion (N=97) were 0.6162 and 0.6973, respectively, implying AI-CT is relatively not affected by tissue harvest site. Conclusion: AI-powered multi-modal approach of using H&E image and CT image shows complimentary, and synergistic effect to predict ICI clinical outcomes in advanced NSCLC, even in the subgroup of PD-L1 high population. Citation Format: Dong Young Jeong, Jongchan Park, Heon Song, Jimin Moon, Taebum Lee, Changho Ahn, Sehhoon Park, Se-Hoon Lee, Chan-Young Ock, Ho Yun Lee. Artificial intelligence (AI)-based multi-modal approach using H&E and CT image for predicting treatment response of immune checkpoint inhibitor (ICI) in non-small cell lung cancer (NSCLC) [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 4170.

Reducing Salivary Toxicity with Adaptive Radiotherapy (ReSTART): A Randomized Controlled Trial Comparing Conventional IMRT to Adaptive IMRT in Head and Neck Squamous Cell Carcinomas

BackgroundThe utility of Adaptive Radiotherapy (ART) in Head and Neck Squamous Cell Carcinoma (HNSCC) remains to be ascertained. While multiple retrospective and single-arm prospective studies have demonstrated its efficacy in decreasing parotid doses and reducing xerostomia, adequate randomized evidence is lacking. Methods and AnalysisReSTART (Reducing Salivary Toxicity with Adaptive Radiotherapy) is an ongoing phase III randomized trial of patients with previously untreated, locally advanced HNSCC of the oropharynx, larynx, and hypopharynx. Patients are randomized in a 1:1 ratio to the standard Intensity Modulated Radiotherapy (IMRT) arm {Planning Target Volume (PTV) margin 5 mm} vs. Adaptive Radiotherapy arm (standard IMRT with a PTV margin 3 mm, two planned adaptive planning at 10th and 20th fractions). The stratification factors include the primary site and nodal stage. The RT dose prescribed is 66Gy in 30 fractions for high-risk PTV and 54Gy in 30 fractions for low-risk PTV over six weeks, along with concurrent chemotherapy.The primary endpoint is to compare salivary toxicity between arms using salivary scintigraphy 12 months' post-radiation. To detect a 25% improvement in the primary endpoint at 12 months in the ART arm with a two-sided 5% alpha value and a power of 80% (and 10% attrition ratio), a sample size of 130 patients is required (65 patients in each arm). The secondary endpoints include acute and late toxicities, locoregional control, disease-free survival, overall survival, quality of life, and xerostomia scores between the two arms. DiscussionThe ReSTART trial aims to answer an important question in Radiation Therapy for HNSCC, particularly in a resource-limited setting. The uniqueness of this trial, compared to other ongoing randomized trials, includes the PTV margins and the xerostomia assessment by scintigraphy at 12 months as the primary endpoint.

Assessment of programmed death-ligand 1 expression in primary tumors and paired lymph node metastases of gastric adenocarcinoma.

Anti-programmed death-1/programmed death-ligand 1 (PD-1/PD-L1) immunotherapy has demonstrated promising results on gastric cancer (GC). However, PD-L1 can express differently between metastatic sites and primary tumors (PT). To compare PD-L1 status in PT and matched lymph node metastases (LNM) of GC patients and to determine the correlation between the PD-L1 status and clinicopathological characteristics. We retrospectively reviewed 284 GC patients who underwent D2-gastrectomy. PD-L1 was evaluated by immunohistochemistry (clone SP142) using the combined positive score. All PD-L1+ PT staged as pN+ were also tested for PD-L1 expression in their LNM. PD-L1(-) GC with pN+ served as the comparison group. Among 284 GC patients included, 45 had PD-L1+ PT and 24 of them had pN+. For comparison, 44 PD-L1(-) cases with pN+ were included (sample loss of 4 cases). Of the PD-L1+ PT, 54.2% (13/24 cases) were also PD-L1+ in the LNM. Regarding PD-L1(-) PT, 9.1% (4/44) had PD-L1+ in the LNM. The agreement between PT and LNM had a kappa value of 0.483. Larger tumor size and moderate/severe peritumoral inflammatory response were associated with PD-L1 positivity in both sites. There was no statistical difference in overall survival for PT and LNM according to the PD-L1 status (P = 0.166 and P = 0.837, respectively). Intra-patient heterogeneity in PD-L1 expression was observed between the PT and matched LNM. This disagreement in PD-L1 status may emphasize the importance of considering different tumor sites for analyses to select patients for immunotherapy.

Logistics Center Selection and Logistics Network Construction from the Perspective of Urban Geographic Information Fusion.

The last-mile logistics in cities have become an indispensable part of the urban logistics system. This study aims to explore the effective selection of last-mile logistics nodes to enhance the efficiency of logistics distribution, strengthen the image of corporate distribution, further reduce corporate operating costs, and alleviate urban traffic congestion. This paper proposes a clustering-based approach to identify urban logistics nodes from the perspective of geographic information fusion. This method comprehensively considers several key indicators, including the coverage, balance, and urban traffic conditions of logistics distribution. Additionally, we employed a greedy algorithm to identify secondary nodes around primary nodes, thus constructing an effective nodal network. To verify the practicality of this model, we conducted an empirical simulation study using the logistics demand and traffic conditions in the Xianlin District of Nanjing. This research not only identifies the locations of primary and secondary logistics nodes but also provides a new perspective for constructing urban last-mile logistics systems, enriching the academic research related to the construction of logistics nodes. The results of this study are of significant theoretical and practical importance for optimizing urban logistics networks, enhancing logistics efficiency, and promoting the improvement of urban traffic conditions.

Nomogram Based on US and Clinicopathologic Characteristics: Axillary Nodal Evaluation Following Neoadjuvant Chemotherapy in Patients With Node-Positive Breast Cancer

BackgroundTo develop a convenient modality to predict axillary response to neoadjuvant chemotherapy (NAC) in breast cancer patients. Materials and MethodsIn this multi-center study, a total of 1019 breast cancer patients with biopsy-proven positive lymph node (LN) receiving NAC were randomly assigned to the training and validation groups at a ratio of 7:3. Clinicopathologic and ultrasound (US) characteristics of both primary tumors and LNs were used to develop corresponding prediction models, and a nomogram integrating clinicopathologic and US predictors was generated to predict the axillary response to NAC. ResultsAxillary pathological complete response (pCR) was achieved in 47.79% of the patients. The expression of estrogen receptor, human epidermal growth factor receptor -2, Ki-67 score, and clinical nodal stage were independent predictors for nodal response to NAC. Location and radiological response of primary tumors, cortical thickness and shape of LNs on US were also significantly associated with nodal pCR. In the validation cohort, the discrimination of US model (area under the curve [AUC], 0.76) was superior to clinicopathologic model (AUC, 0.68); the combined model (AUC, 0.85) demonstrates strong discriminatory power in predicting nodal pCR. Calibration curves of the nomogram based on the combined model demonstrated that substantial agreement can be observed between the predictions and observations. This nomogram showed a false-negative rates of 16.67% in all patients and 10.53% in patients with triple negative breast cancer. ConclusionNomogram incorporating routine clinicopathologic and US characteristics can predict nodal pCR and represents a tool to aid in treatment decisions for the axilla after NAC in breast cancer patients.

A trustworthy data collection scheme based on active spot-checking in UAV-Assisted WSNs

The UAV-WSN systems integrates the flexibility of UAVs with the communication and sensing capabilities of WSNs, making them important means of information monitoring, collection, and analysis in various fields that has received widespread attention. However, various malicious attacks pose threats to the security of UAV-WSN systems, resulting in serious vulnerabilities in trustworthy data collection. Therefore, in this article, we propose an Active Spot-Checking-based Trustworthy Data Collection (ASC-DC) scheme, which makes the following main contributions: (1) A novel UAV-assisted active and verifiable node trust evaluation framework is proposed. It includes an active trust acquisition mechanism based on spot-checked factors of nodes and a node trustworthy interaction mechanism based on Authoritative Information Tables (AIT). Through actively spot-check nodes using UAV, this framework can rapidly and accurately evaluate node trustworthiness while assisting sensor nodes in establishing trust relationships quickly. (2) A layered trust computation model is proposed, where the primary trust computation and node security supervision tasks are offloaded to more powerful UAV, thereby reducing information congestion and node energy consumption caused by trust evaluation in the WSN. (3) An improved Ant Colony Optimization (ACO) algorithm is proposed to efficiently acquire UAV’s spot-checking flight trajectories. It reduces the cost of spot-checking nodes using UAV and improves the efficiency of trust verification. Experimental results demonstrate that the proposed ASC-DC scheme can accurately evaluate node trustworthiness in an efficient way, ensuring reliable data collection in UAV-WSN systems.

Association between different regional lymph node metastases of papillary thyroid carcinoma in adolescents and young adults.

Adolescents and young adults (AYA) describe the demographic aged between 15-39 years diagnosed with cancer. This group is particularly at risk of papillary thyroid carcinoma (PTC) with a greater severity compared with other ages. Through comparative design, the present study aimed to quantify central lymph node metastasis (CLNM) risk in AYAs. A total of 463 AYA patients with PTC and 489 patients >39 years old with PTC from Ningbo Medical Center Lihuili Hospital (Ningbo, China) were enrolled. Details such as demographic data, serum indices and fine-needle aspiration from the Electronic Medical Records System were extracted and analyzed. AYA patients had significantly higher rates of ipsilateral Hashimoto thyroiditis, thyroid capsular invasion (TCI), CLNM, larger tumors and more positive central lymph nodes (CLN). Independent risk factors of CLNM in AYA patients were as follows: Male sex, presence of TCI, multifocality, bilateral disease and maximum tumor diameter (MTD) ≥1.0 cm. Independent risk factors of lateral lymph node metastasis in AYAs with CLNM were as follows: MTD ≥1.0 cm, maximum diameter of positive CLN ≥1.0 cm, and presence of ipsilateral nodular goiter. Furthermore, AYA patients with PTC displayed significantly greater aggression in primary tumor invasion and neck lymph node metastasis. Based on these findings, a treatment stratification chart was created to guide the PTC treatment approach for AYAs. The present study is registered at the Chinese Clinical Trials Registry (trial registration no. ChiCTR2200064921) in November 2022.

Primary Nodal Epstein-Barr Virus-Positive T-Cell/NK-Cell Lymphoma: Real-World Experience

Introduction: Primary nodal Epstein-Barr virus-positive T-cell/NK-cell lymphoma (PTCL-EBV) is a disease entity newly recognized in the World Health Organization’s classification of hematolymphoid tumors, 5th edition (WHO-HAEMS5) and the International Consensus Classification of Mature Lymphoid Neoplasms (ICC). Previously, it was classified as a subtype within peripheral T-cell lymphoma, not otherwise specified, and was known to have a poor prognosis. However, the clinical features and treatment outcomes are not well known. Methods: This retrospective observational study was conducted on patients diagnosed with PTCL-EBV at Samsung Medical Center through a pathology review from 2000 to 2020. We analyzed the clinical data from 14 patients, immunohistochemistry, and survival outcomes including overall survival (OS) and progression-free survival (PFS) for each treatment regimen. PFS was defined as the time from the start of chemotherapy to the confirmation of disease progression on imaging, and hematopoietic stem-cell transplantation (HSCT) was considered a consolidation treatment. OS was defined as the time from diagnosis to the time of death. Results: 25% (1 out of 4) were beta-F1 positive, and 67% (4 out of 6) were T-cell receptor gamma (TCRγ) positive. T-cell intracellular antigen (TIA-1) and granzyme B exhibited positive results in all cases (3 out of 3), whereas the NK-cell marker CD56 was positive in only 11% of patients (1 out of 9). CD3 was observed in all of the patients (11 out of 11). The CD4 was 43% positive (3 out of 7). The CD8 was investigated in 8 patients, with 37.5% positive (3 out of 8). Hepatosplenomegaly was observed in 55% of patients (6 out of 11), and 70% (7 out of 10) of patients displayed B symptoms at the time of diagnosis. Patients who received CHOP (cyclophosphamide, doxorubicin, vincristine, prednisolone) or CVP (cyclophosphamide, vincristine, prednisolone) treatment had a median PFS of 2.2 months (95% CI: 1.9–2.5 months), and patients who received other treatments had a median PFS of 5.1 months (NA). The objective response rate (ORR) for ICE/dexa (ifosfamide, carboplatin, etoposide, dexamethasone) as the first- or second-line treatment was 100% (3 out of 3). But ORR of CHOP or CVP as the first-line treatment was 33.3% (3 out of 9). The median OS for the group that received HSCT (3 out of 11) after achieving a response was 34.6 months (95% CI: 0–74.6 months), and the median OS for the group that did not receive HSCT (8 out of 11) was 5.0 months (95% CI: 2.1–7.9 months) (p = 0.04). Conclusions: In conclusion, in the context of PTCL-EBV, despite a limited sample size, the ICE/Dexa regimen shows potential benefits in terms of ORR and PFS. Furthermore, the application of HSCT following the attainment of a complete response may prove advantageous.

T-cell non-Hodgkin lymphoma of lymphoblastic type revealed by a chronic swollen testicle managed in the urology department of Laquintinie Hospital in Douala, Cameroon

Background: Non-Hodgkin T-cell lymphomas typically develop in lymph node territories, and primary extra nodal locations are rare. The clinical presentation is nonspecific, dominated by signs of compression. Imaging aids in suspicion, and histology confirms the diagnosis. Clinical Observation: A 61-year-old patient initially hospitalized for the management of upper gastrointestinal bleeding six months ago was referred to the urology outpatient clinic due to a chronic swollen testicle persisting for a year. A non-contributory testicular ultrasound showed peri scrotal lymphedema with inguinal lymphadenopathy, right orchid epididymitis, and left epididymitis. Blood tests were normal. Despite antibiotic therapy, there was no improvement in the clinical condition. Physical examination revealed painless and mobile cervical, axillary, and inguinal lymph nodes. Pelvic MRI suspected a probable lymphoma. A lymph node biopsy in the left groin confirmed a non-Hodgkin T-cell lymphoma of lymphoblastic type infiltrating the capsule. The patient was transferred to haematology for further management. Conclusion: T-cell lymphoblastic lymphoma is primarily characterized by nodal involvement. There is a diagnostic delay that is anatomopathological in nature. Management involves polychemotherapy.

Predicting programmed death-ligand 1 (PD-L1) expression with fluorine-18 fluorodeoxyglucose ([18F]FDG) positron emission tomography/computed tomography (PET/CT) metabolic parameters in resectable non-small cell lung cancer

BackgroundProgrammed death-ligand 1 (PD-L1) expression is a predictive biomarker for immunotherapy in non-small cell lung cancer (NSCLC). PD-L1 and glucose transporter 1 expression are closely associated, and studies demonstrate correlation of PD-L1 with glucose metabolism.AimThe aim of this study was to investigate the association of fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography ([18F]FDG-PET/CT) metabolic parameters with PD-L1 expression in primary lung tumour and lymph node metastases in resected NSCLC.MethodsWe conducted a retrospective analysis of 210 patients with node-positive resectable stage IIB–IIIB NSCLC. PD-L1 tumour proportion score (TPS) was determined using the DAKO 22C3 immunohistochemical assay. Semi-automated techniques were used to analyse pre-operative [18F]FDG-PET/CT images to determine primary and nodal metabolic parameter scores (including max, mean, peak and peak adjusted for lean body mass standardised uptake values (SUV), metabolic tumour volume (MTV), total lesional glycolysis (TLG) and SUV heterogeneity index (HISUV)).ResultsPatients were predominantly male (57%), median age 70 years with non-squamous NSCLC (68%). A majority had negative primary tumour PD-L1 (TPS < 1%; 53%). Mean SUVmax, SUVmean, SUVpeak and SULpeak values were significantly higher (p < 0.05) in those with TPS ≥ 1% in primary tumour (n = 210) or lymph nodes (n = 91). However, ROC analysis demonstrated only moderate separability at the 1% PD-L1 TPS threshold (AUCs 0.58–0.73). There was no association of MTV, TLG and HISUV with PD-L1 TPS.ConclusionThis study demonstrated the association of SUV-based [18F]FDG-PET/CT metabolic parameters with PD-L1 expression in primary tumour or lymph node metastasis in resectable NSCLC, but with poor sensitivity and specificity for predicting PD-L1 positivity ≥ 1%.Clinical relevance statementWhilst SUV-based fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography metabolic parameters may not predict programmed death-ligand 1 positivity ≥ 1% in the primary tumour and lymph nodes of resectable non-small cell lung cancer independently, there is a clear association which warrants further investigation in prospective studies.Trial registrationNon-applicableKey Points• Programmed death-ligand 1 immunohistochemistry has a predictive role in non-small cell lung cancer immunotherapy; however, it is both heterogenous and dynamic.• SUV-based fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography ([18F]FDG-PET/CT) metabolic parameters were significantly higher in primary tumour or lymph node metastases with positive programmed death-ligand 1 expression.• These SUV-based parameters could potentially play an additive role along with other multi-modal biomarkers in selecting patients within a predictive nomogram.

Oleic acid-PPARγ-FABP4 loop fuels cholangiocarcinoma colonization in lymph node metastases microenvironment.

Lymph node metastasis is a significant risk factor for patients with cholangiocarcinoma, but the mechanisms underlying cholangiocarcinoma colonization in the lymph node microenvironment remain unclear. We aimed to determine whether metabolic reprogramming fueled the adaptation and remodeling of cholangiocarcinoma cells to the lymph node microenvironment. Here, we applied single-cell RNA sequencing of primary tumor lesions and paired lymph node metastases from patients with cholangiocarcinoma and revealed significantly reduced intertumor heterogeneity and syntropic lipid metabolic reprogramming of cholangiocarcinoma after metastasis to lymph nodes, which was verified by pan-cancer single-cell RNA sequencing analysis, highlighting the essential role of lipid metabolism in tumor colonization in lymph nodes. Metabolomics and in vivo CRISPR/Cas9 screening identified PPARγ as a crucial regulator in fueling cholangiocarcinoma colonization in lymph nodes through the oleic acid-PPARγ-fatty acid-binding protein 4 positive feedback loop by upregulating fatty acid uptake and oxidation. Patient-derived organoids and animal models have demonstrated that blocking this loop impairs cholangiocarcinoma proliferation and colonization in the lymph node microenvironment and is superior to systemic inhibition of fatty acid oxidation. PPARγ-regulated fatty acid metabolic reprogramming in cholangiocarcinoma also contributes to the immune-suppressive niche in lymph node metastases by producing kynurenine and was found to be associated with tumor relapse, immune-suppressive lymph node microenvironment, and poor immune checkpoint blockade response. Our results reveal the role of the oleic acid-PPARγ-fatty acid-binding protein 4 loop in fueling cholangiocarcinoma colonization in lymph nodes and demonstrate that PPARγ-regulated lipid metabolic reprogramming is a promising therapeutic target for relieving cholangiocarcinoma lymph node metastasis burden and reducing further progression.

Machine Learning and Texture Analysis of [18F]FDG PET/CT Images for the Prediction of Distant Metastases in Non-Small-Cell Lung Cancer Patients.

The aim of our study was to predict the occurrence of distant metastases in non-small-cell lung cancer (NSCLC) patients using machine learning methods and texture analysis of 18F-labeled 2-deoxy-d-glucose Positron Emission Tomography/Computed Tomography {[18F]FDG PET/CT} images. In this retrospective and single-center study, we evaluated 79 patients with advanced NSCLC who had undergone [18F]FDG PET/CT scan at diagnosis before any therapy. Patients were divided into two independent training (n = 44) and final testing (n = 35) cohorts. Texture features of primary tumors and lymph node metastases were extracted from [18F]FDG PET/CT images using the LIFEx program. Six machine learning methods were applied to the training dataset using the entire panel of features. Dedicated selection methods were used to generate different combinations of five features. The performance of selected machine learning methods applied to the different combinations of features was determined using accuracy, the confusion matrix, receiver operating characteristic (ROC) curves, and area under the curve (AUC). A total of 104 and 78 lesions were analyzed in the training and final testing cohorts, respectively. The support vector machine (SVM) and decision tree methods showed the highest accuracy in the training cohort. Seven combinations of five features were obtained and introduced in the models and subsequently applied to the training and final testing cohorts using the SVM and decision tree. The accuracy and the AUC of the decision tree method were higher than those obtained with the SVM in the final testing cohort. The best combination of features included shape sphericity, gray level run length matrix_run length non-uniformity (GLRLM_RLNU), Total Lesion Glycolysis (TLG), Metabolic Tumor Volume (MTV), and shape compacity. The combination of these features with the decision tree method could predict the occurrence of distant metastases with an accuracy of 74.4% and an AUC of 0.63 in NSCLC patients.

Value of glucose transport protein 1 expression in detecting lymph node metastasis in patients with colorectal cancer.

There are limited data on the use of glucose transport protein 1 (GLUT-1) expression as a biomarker for predicting lymph node metastasis in patients with colorectal cancer. GLUT-1 and GLUT-3, hexokinase (HK)-II, and hypoxia-induced factor (HIF)-1 expressions may be useful biomarkers for detecting primary tumors and lymph node metastasis when combined with fluorodeoxyglucose (FDG) uptake on positron emission tomography/computed tomography (PET/CT). To evaluate GLUT-1, GLUT-3, HK-II, and HIF-1 expressions as biomarkers for detecting primary tumors and lymph node metastasis with 18F-FDG-PET/CT. This retrospective study included 169 patients with colorectal cancer who underwent colectomy and preoperative 18F-FDG-PET/CT at Chungbuk National University Hospital between January 2009 and May 2012. Two tissue cores from the central and peripheral areas of the tumors were obtained and were examined by a dedicated pathologist, and the expressions of GLUT-1, GLUT-3, HK-II, and HIF-1 were determined using immunohistochemical staining. We analyzed the correlations among their expressions, various clinicopathological factors, and the maximum standardized uptake value (SUVmax) of PET/CT. GLUT-1 was found at the center or periphery of the tumors in 109 (64.5%) of the 169 patients. GLUT-1 positivity was significantly correlated with the SUVmax of the primary tumor and lymph nodes, regardless of the biopsy site (tumor center, P < 0.001 and P = 0.012; tumor periphery, P = 0.030 and P = 0.010, respectively). GLUT-1 positivity and negativity were associated with higher and lower sensitivities of PET/CT, respectively, for the detection of lymph node metastasis, regardless of the biopsy site. GLUT3, HK-II, and HIF-1 expressions were not significantly correlated with the SUVmax of the primary tumor and lymph nodes. GLUT-1 expression was significantly correlated with the SUVmax of 18F-FDG-PET/CT for primary tumors and lymph nodes. Clinicians should consider GLUT-1 expression in preoperative endoscopic biopsy in interpreting PET/CT findings.

The application value of LAVA-flex sequences in enhanced MRI scans of nasopharyngeal carcinoma: comparison with T1WI-IDEAL.

Magnetic resonance imaging (MRI) staging scans are critical for the diagnosis and treatment of patients with nasopharyngeal cancer (NPC). We aimed to evaluate the application value of LAVA-Flex and T1WI-IDEAL sequences in MRI staging scans. Eighty-four newly diagnosed NPC patients underwent both LAVA-Flex and T1WI-IDEAL sequences during MRI examinations. Two radiologists independently scored the acquisitions of image quality, fat suppression quality, artifacts, vascular and nerve display. The obtained scores were compared using the Wilcoxon signed rank test. According to the signal intensity (SI) measurements, the uniformity of fat suppression, contrast between tumor lesions and subcutaneous fat tissue, and signal-to-noise ratio (SNR) were compared by the paired t-test. Compared to the T1WI-IDEAL sequence, LAVA-Flex exhibited fewer artifacts (P<0.05), better visualization of nerves and vessels (P<0.05), and performed superior in the fat contrast ratio of the primary lesion and metastatic lymph nodes (0.80 vs. 0.52, 0.81 vs. 0.56, separately, P<0.001). There was no statistically significant difference in overall image quality, tumor signal-to-noise ratio (SNR), muscle SNR, and the detection rate of lesions between the two sequences (P>0.05). T1WI-IDEAL was superior to LAVA-Flex in the evaluation of fat suppression uniformity (P<0.05). LAVA-Flex sequence provides satisfactory image quality and better visualization of nerves and vessels for NPC with shorter scanning times.

Heterogeneity of molecular subtyping and therapy-related marker expression in primary tumors and paired lymph node metastases of small cell lung cancer.

The classification of molecular subtypes and the identification of targetable molecules have been proposed for small cell lung cancer (SCLC) patients. Our aim was to investigate whether the expression of these markers evaluated using lymph node (LN) metastases represents that of primary tumors. We enrolled 46 surgically resected SCLC patients' primary tumors and paired mediastinal LN metastases. The protein expression of subtype-defining markers (ASCL1, NEUROD1, POU2F3, and YAP1) and therapeutic markers (DLL3, MYC, PD-L1, and MHC I) was examined by immunohistochemistry and was correlated with clinicopathological parameters and prognoses. In primary and metastatic tumors, the expression of these markers was 78.3% and 87.0%, 50.0% and 63.0%, 13.0% and 6.5%, 17.4% and 15.2%, 84.8% and 87.0%, 17.4% and 6.5%, 50.0% and 34.8%, and 60.9% and 37.0%, respectively. Positive tumor PD-L1 expression was less present in LN metastases (p = 0.015), and the same was true for MHC I expression (p = 0.036). NEUROD1 and DLL3 expression levels in metastatic tumors were stronger (p < 0.001 and p = 0.002, respectively); conversely, POU2F3, MYC, PD-L1, and MHC I expression levels were weaker (p = 0.018, p = 0.019, p = 0.001, and p < 0.001, respectively). In 15 (32.6%) patients, we observed a change in the molecular subtyping pattern, and a higher number of neuroendocrine (NE)-high phenotype patients were diagnosed when using the LN specimens (91.3% vs. 84.8%). TNM stage and postoperative chemotherapy were independent prognostic factors in surgically resected SCLC patients, and no prognostic differences were found among molecular subtypes. This study highlights the discordance of subtype-specific proteins and therapeutic markers between SCLC primary tumors and LN metastases. Additionally, our findings have therapeutic and prognostic implications and warrant further clinical investigation.

Rapid Generation of hPSC-Derived High Endothelial Venule Organoids with In Vivo Ectopic Lymphoid Tissue Capabilities.

Bioengineering strategies for the fabrication of implantable lymphoid structures mimicking lymph nodes (LNs) and tertiary lymphoid structures (TLS) could amplify the adaptive immune response for therapeutic applications such as cancer immunotherapy. No method to date has resulted in the consistent formation of high endothelial venules (HEVs), which is the specialized vasculature responsible for naïve T cell recruitment and education in both LNs and TLS. Here orthogonal induced differentiation of human pluripotent stem cells carrying a regulatable ETV2 allele is used to rapidly and efficiently induce endothelial differentiation. Assembly of embryoid bodies combining primitive inducible endothelial cells and primary human LN fibroblastic reticular cells results in the formation of HEV-like structures that can aggregate into 3D organoids (HEVOs). Upon transplantation into immunodeficient mice, HEVOs successfully engraft and form lymphatic structures that recruit both antigen-presenting cells and adoptively-transferred lymphocytes, therefore displaying basic TLS capabilities. The results further show that functionally, HEVOs can organize an immune response and promote anti-tumor activity by adoptively-transferred T lymphocytes. Collectively, the experimental approaches represent an innovative and scalable proof-of-concept strategy for the fabrication of bioengineered TLS that can be deployed in vivo to enhance adaptive immune responses.

Comparative Analysis of US Guidelines for the Management of Cutaneous Squamous Cell and Basal Cell Carcinoma.

This study presents a comparative analysis of recently published guidelines to manage cutaneous squamous cell carcinoma (cSCC) and cutaneous basal cell carcinoma (cBCC) within the United States (US). A PubMed database search was performed for the time period between June 1, 2016, and December 1, 2022. A comprehensive comparison was performed in the following clinical interest areas: staging and risk stratification, management of primary tumor and regional nodes with curative intent, and palliative treatment. Guidelines from 3 organizations were analyzed: the American Academy of Dermatology (AAD), the National Comprehensive Cancer Network (NCCN), and the American Society for Radiation Oncology (ASTRO). The guidelines used different methodologies to grade evidence, making comparison difficult. There was agreement that surgery is the preferred treatment for curative cBCC and cSCC. For patients ineligible for surgery, there was a consensus to recommend definitive radiation. AAD and NCCN recommended consideration of other topical modalities in selected low-risk cBCC. Postoperative radiation therapy (PORT) was uniformly recommended in patients with positive margins that could not be cleared with surgery and in patients with nerve invasion. The definition and extent of nerve invasion varied. All guidelines recommended surgery as the primary treatment in patients with lymph node metastases in a curative setting. The criteria used for PORT varied; NCCN and ASTRO used lymph node size, number of nodes, and extracapsular extension for recommending PORT. Both NCCN and ASTRO recommend consideration of systemic treatment along with PORT in patients with extracapsular extension. Conclusion: US guidelines provide contemporary and complementary information on the management of cBCC and cSCC. There are opportunities for research, particularly in the areas of staging, indications for adjuvant treatment in curative settings, extent of nerve invasion and prognosis, and the role of systemic treatments in curative and palliative settings.

Chemoradiotherapy and Lymph Node Metastasis Affect Dendritic Cell Infiltration and Maturation in Regional Lymph Nodes of Laryngeal Cancer.

Dendritic cells (DCs) are the most specialized antigen-presenting cells, and lymph nodes (LNs) play an important role in the DC-mediated T-cell response. We evaluated the infiltration of CD1a-positive DCs (CD1a-DCs), i.e., immature DCs, and S100-positive dendritic cells (S100-DCs), a mixture of immature and mature DCs, in 73 cases of laryngeal cancer and its regional LNs. Among them, 31 patients underwent radiotherapy (RT) or chemoradiotherapy (CRT) prior to surgery. No significant difference was found for CD1a-DC infiltration in the primary tumors, metastatic LNs and non-metastatic LNs, while S100-DCs were significantly fewer in number in the primary tumors and metastatic LNs compared to non-metastatic LNs. The cases which showed a high infiltration of S100-DCs in the metastatic LNs appeared to show a favorable prognosis, although statistical significance was not reached. In the RT/CRT group, the infiltration of the CD1a-DCs and S100-DCs was less in the primary tumors and metastatic LNs compared to the treatment-naive group. Conversely, the RT/CRT group showed higher CD1a-DC and S100-DC numbers in the non-metastatic LNs compared to the treatment-naïve group. Thus, DC maturation in metastatic LNs plays an important role in tumor immunity in laryngeal cancer, and the infiltration of DCs into the primary tumor and metastatic LNs is impaired by RT/CRT.

Association of circulating tumor HPV16DNA levels and quantitative PET parameters in patients with HPV-positive head and neck squamous cell carcinoma

Circulating tumor DNA (ctDNA), which circulates in the blood after being shed from cancer cells in the body, has recently gained attention as an excellent tumor marker. The purpose of this study was to evaluate whether ct human papillomavirus (HPV) 16 DNA (ctHPV16DNA) levels were associated with quantitative PET parameters in patients with HPV-positive head and neck (HN) squamous cell carcinoma (SCC). Fifty patients with oropharyngeal SCC (OPSCC) and 5 with SCC of unknown primary (SCCUP) before treatment were included. They all underwent blood sampling to test ctHPV16DNA levels and FDG PET-CT examinations. Quantitative PET parameters included SUVmax, metabolic tumor volume (MTV), MTV of whole-body lesions (wbMTV), and 56 texture features. ctHPV16DNA levels were compared to texture features of primary tumors in OPSCC patients (Group A) or the largest primary or metastatic lymph node lesions in OPSCC and SCCUP patients (Group B) and to other PET parameters. Spearman rank correlation test and multiple regression analysis were used to confirm the associations between ctHPV16DNA levels and PET parameters. ctHPV16DNA levels moderately correlated with wbMTV, but not with SUVmax or MTV in Groups A and B. ctHPV16DNA levels exhibited a weak negative correlation with low gray-level zone emphasis in Groups A and B. Multiple regression analysis revealed that wbMTV and high gray-level zone emphasis were the significant factors for ctHPV16DNA levels in Group B. These results were not observed in Group A. This study demonstrated that ctHPV16DNA levels correlated with the whole-body tumor burden and tumor heterogeneity visualized on FDG PET-CT in patients with HPV-positive HNSCC.