Early Lymph Node Metastasis Research Articles

Predictive Values of Clinical Features and Multimodal Ultrasound for Central Lymph Node Metastases in Papillary Thyroid Carcinoma.

Papillary thyroid carcinoma (PTC), the predominant pathological type among thyroid malignancies, is responsible for the sharp increase in thyroid cancer. Although PTC is an indolent tumor with good prognosis, 60-70% of patients still have early cervical lymph node metastasis, typically in the central compartment. Whether there is central lymph node metastasis (CLNM) or not directly affects the formulation of preoperative surgical procedures, given that such metastases have been tied to compromised overall survival and local recurrence. However, detecting CLNM before operation can be challenging due to the limited sensitivity of preoperative approaches. Prophylactic central lymph node dissection (PCLND) in the absence of clinical evidence of CLNM poses additional surgical risks. This study aims to provide a comprehensive review of the risk factors related to CLNM in PTC patients. A key focus is on utilizing multimodal ultrasound (US) for accurate prognosis of preoperative CLNM and to highlight the distinctive role of US-based characteristics for predicting CLNM.

Open-label, prospective phase 2 study to evaluate the efficacy and safety of camrelizumab combined with etoposide and cisplatin as neoadjuvant therapy in patients with neuroendocrine carcinoma of the cervix.

TPS5624 Background: Camrelizumab, a humanized monoclonal antibody, specifically targets PD-1 to inhibit its interaction with PD-L1, thereby reactivating the T cell immune response against tumors. The NACI study demonstrated that, in the treatment of locally advanced cervical cancer, the combination of camrelizumab and neoadjuvant chemotherapy achieved an overall response rate (ORR) of 100%. Specifically, complete remission was observed in 4 patients (8.33%), while 44 patients (91.67%) experienced partial remission. This regimen significantly outperformed traditional treatments in efficacy, with manageable toxicity levels. Neuroendocrine carcinoma of the cervix (NECC) is a highly rare and aggressive malignancy characterized by its distinctive biological behavior, propensity for early lymph node and hematogenous metastasis, and limited effective treatment options, leading to a dismal prognosis. Although PD-1 inhibitors have shown promise in some NECC case reports, there is a notable absence of comprehensive, prospective clinical trials to substantiate their effectiveness. This study aims to assess the efficacy and safety of neoadjuvant chemo-immunotherapy in patients with NECC. Methods: This open-label, single-arm, prospective phase II study evaluates the antitumor efficacy and safety of camrelizumab in combination with etoposide and cisplatin in roughly 30 patients with NECC. Eligible participants are aged 18-75, with an Eastern Cooperative Oncology Group (ECOG) performance status of 0–1, and histologically confirmed NECC, specifically targeting small cell and large cell neuroendocrine cervical carcinoma but excluding atypical and typical carcinoid tumors. Inclusion criteria stipulate that if NECC is present alongside other tumor types, the neuroendocrine carcinoma component must account for more than 60% of the tumor mass. The treatment protocol involves neoadjuvant chemo-immunotherapy, comprising two to three cycles of camrelizumab (200 mg, IV, day 1), cisplatin (75 mg/m², IV, day 1), and etoposide (100 mg/m², IV, days 1-3) administered every three weeks. Following this, patients achieving complete or partial response will proceed to radical surgery and adjuvant therapy, while those with stable or progressive disease, or considered unsuitable for surgery by gynecological oncologists, will transfer to concurrent chemoradiotherapy. The primary objective is to ascertain the objective response rate as per the Response Evaluation Criteria in Solid Tumors version 1.1. Secondary objectives include disease control rate, progression-free survival, overall survival, and evaluations of safety and tolerability. The study began on December 28, 2023, with ongoing enrollment. Clinical trial information: NCT05910177 .

262P Early lymph node metastasis in T1/2 stage colorectal cancer: Molecular and clinical insights - A case controlled study

262P Early lymph node metastasis in T1/2 stage colorectal cancer: Molecular and clinical insights - A case controlled study

TERT RNAscope analysis of sub-centimetric papillary thyroid carcinomas and synchronous lymph node metastases.

Sub-centrimetric papillary thyroid carcinomas usually have a good prognosis with a cancer specific survival of > 99%, however in up to 65% of patients, lymph node metastases can be observed. Molecular alterations in BRAF, TERT and TP53 are associated with worse clinicopathological outcome in patients with papillary thyroid carcinoma. Twenty-two cases of papillary thyroid carcinomas measuring ≤ 1cm with synchronous lymph node metastases were examined regarding morphological patterns and immunohistochemical status of p53, Ki-67, and BRAF V600E status. TERT RNA expression in lymph node metastases were evaluated by RNAScope®. Morphological patterns were heterogeneous in both primary tumors and lymph node metastases. Proliferation indices measured by Ki-67 were low. Both primary and lymph node metastases were wild type for p53 by immunohistochemical analysis. No lymph node metastasis showed TERT expression by RNAScope®. Our data indicate that TERT expression is not involved in the development early lymph node metastasis in patients with sub-centimetric PTC.

FD-Net: Feature Distillation Network for Oral Squamous Cell Carcinoma Lymph Node Segmentation in Hyperspectral Imagery.

Oral squamous cell carcinoma (OSCC) has the characteristics of early regional lymph node metastasis. OSCC patients often have poor prognoses and low survival rates due to cervical lymph metastases. Therefore, it is necessary to rely on a reasonable screening method to quickly judge the cervical lymph metastastic condition of OSCC patients and develop appropriate treatment plans. In this study, the widely used pathological sections with hematoxylin-eosin (H&E) staining are taken as the target, and combined with the advantages of hyperspectral imaging technology, a novel diagnostic method for identifying OSCC lymph node metastases is proposed. The method consists of a learning stage and a decision-making stage, focusing on cancer and non-cancer nuclei, gradually completing the lesions' segmentation from coarse to fine, and achieving high accuracy. In the learning stage, the proposed feature distillation-Net (FD-Net) network is developed to segment the cancerous and non-cancerous nuclei. In the decision-making stage, the segmentation results are post-processed, and the lesions are effectively distinguished based on the prior. Experimental results demonstrate that the proposed FD-Net is very competitive in the OSCC hyperspectral medical image segmentation task. The proposed FD-Net method performs best on the seven segmentation evaluation indicators: MIoU, OA, AA, SE, CSI, GDR, and DICE. Among these seven evaluation indicators, the proposed FD-Net method is 1.75%, 1.27%, 0.35%, 1.9%, 0.88%, 4.45%, and 1.98% higher than the DeepLab V3 method, which ranks second in performance, respectively. In addition, the proposed diagnosis method of OSCC lymph node metastasis can effectively assist pathologists in disease screening and reduce the workload of pathologists.

Glut-1-Negative Choroidal Malignant Melanoma with Liver Metastasis Recurrence 12 Years after Surgery without FDG Accumulation in a Recurrent Lesion on FDG-PET/CT: a Case Report.

Choroidal malignant melanoma is a rare malignant tumor that develops in adult eyeballs. It causes early lymph node and distant metastasis. Fluorodeoxyglucose (FDG)-positron emission tomography/computed tomography (CT) is widely used for screening malignant melanoma metastases. We encountered a 58-year-old man with choroidal malignant melanoma in whom liver metastasis recurred 12 years after surgery, without any observable FDG accumulation. Immunostaining revealed the absence of glucose transporter type 1 (GLUT-1) expression, crucial for intracellular FDG uptake. The lack of FDG accumulation in the lesion could be attributed to the diminished cellular FDG uptake due to the absence of GLUT-1 expression.

Exploration and validation of key genes associated with early lymph node metastasis in thyroid carcinoma using weighted gene co-expression network analysis and machine learning.

Thyroid carcinoma (THCA), the most common endocrine neoplasm, typically exhibits an indolent behavior. However, in some instances, lymph node metastasis (LNM) may occur in the early stages, with the underlying mechanisms not yet fully understood. LNM potential was defined as the tumor's capability to metastasize to lymph nodes at an early stage, even when the tumor volume is small. We performed differential expression analysis using the 'Limma' R package and conducted enrichment analyses using the Metascape tool. Co-expression networks were established using the 'WGCNA' R package, with the soft threshold power determined by the 'pickSoftThreshold' algorithm. For unsupervised clustering, we utilized the 'ConsensusCluster Plus' R package. To determine the topological features and degree centralities of each node (protein) within the Protein-Protein Interaction (PPI) network, we used the CytoNCA plugin integrated with the Cytoscape tool. Immune cell infiltration was assessed using the Immune Cell Abundance Identifier (ImmuCellAI) database. We applied the Least Absolute Shrinkage and Selection Operator (LASSO), Support Vector Machine (SVM), and Random Forest (RF) algorithms individually, with the 'glmnet,' 'e1071,' and 'randomForest' R packages, respectively. Ridge regression was performed using the 'oncoPredict' algorithm, and all the predictions were based on data from the Genomics of Drug Sensitivity in Cancer (GDSC) database. To ascertain the protein expression levels and subcellular localization of genes, we consulted the Human Protein Atlas (HPA) database. Molecular docking was carried out using the mcule 1-click Docking server online. Experimental validation of gene and protein expression levels was conducted through Real-Time Quantitative PCR (RT-qPCR) and immunohistochemistry (IHC) assays. Through WGCNA and PPI network analysis, we identified twelve hub genes as the most relevant to LNM potential from these two modules. These 12 hub genes displayed differential expression in THCA and exhibited significant correlations with the downregulation of neutrophil infiltration, as well as the upregulation of dendritic cell and macrophage infiltration, along with activation of the EMT pathway in THCA. We propose a novel molecular classification approach and provide an online web-based nomogram for evaluating the LNM potential of THCA (http://www.empowerstats.net/pmodel/?m=17617_LNM). Machine learning algorithms have identified ERBB3 as the most critical gene associated with LNM potential in THCA. ERBB3 exhibits high expression in patients with THCA who have experienced LNM or have advanced-stage disease. The differential methylation levels partially explain this differential expression of ERBB3. ROC analysis has identified ERBB3 as a diagnostic marker for THCA (AUC=0.89), THCA with high LNM potential (AUC=0.75), and lymph nodes with tumor metastasis (AUC=0.86). We have presented a comprehensive review of endocrine disruptor chemical (EDC) exposures, environmental toxins, and pharmacological agents that may potentially impact LNM potential. Molecular docking revealed a docking score of -10.1 kcal/mol for Lapatinib and ERBB3, indicating a strong binding affinity. In conclusion, our study, utilizing bioinformatics analysis techniques, identified gene modules and hub genes influencing LNM potential in THCA patients. ERBB3 was identified as a key gene with therapeutic implications. We have also developed a novel molecular classification approach and a user-friendly web-based nomogram tool for assessing LNM potential. These findings pave the way for investigations into the mechanisms underlying differences in LNM potential and provide guidance for personalized clinical treatment plans.

Human Papillomavirus Infection in Penile Cancer: Multidimensional Mechanisms and Vaccine Strategies

Penile cancer (PC) is a rare male malignant tumor, with early lymph node metastasis and poor prognosis. Human papillomavirus (HPV) plays a key role in the carcinogenesis of PC. This review aims to summarize the association between HPV infection and PC in terms of virus–host genome integration patterns (the disrupted regions in the HPV and PC genome), genetic alterations, and epigenetic regulation (methylation and microRNA modification) occurring in HPV and PC DNA, as well as tumor immune microenvironment reprogramming. In addition, the potential of HPV vaccination strategies for PC prevention and treatment is discussed. Understanding of the HPV-related multidimensional mechanisms and the application of HPV vaccines will promote rational and novel management of PC.

Proteomic characteristics of lung adenocarcinoma tumors that are small but highly invasive

AbstractBackgroundUnderstanding the molecular mechanism of early lymph node metastasis among lung adenocarcinoma (LUAD) is essential for developing novel therapeutic agents. Proteomic studies helped generate molecular landscape for LUAD. However, the molecular basis of early lymph node metastases remains unknown in patients with LUAD.MethodsSurgically resected LUAD tissues and paired normal tissues were selected from 25 patients with stage pT1bN2M0 (group of metastases [GM]) and 27 patients with stage T2b‐3N0M0 (group of large primary focus, GL) who had not undergone any anti‐tumor treatment. 4D‐Label‐free proteomics sequencing was performed among these tissues. The clinicopathological information was retrieved from the electronic medical record system in Guangdong Provincial People's Hospital.ResultsCompared with GL tumor tissue, 89 upregulated and 155 downregulated proteins were identified in GM tumor tissue. Upregulated proteins of GM were enriched in the ECM‐receptor interaction and PI3K‐AKT pathway under Kyoto Encyclopedia of Genes and Genomes enrichment analysis. And then, the median disease‐free survival (DFS) of GM phenotype patients was used as the cut‐off value, and GM was divided into two groups with significantly different survival outcomes (DFS good vs. DFS Poor: DFS: p < 0.0001; overall survival: p = 0.0017). All members of the Microchromosome maintenance protein family were highly expressed in the DFS‐poor group, especially MCM2. Proteome‐based stratification of LUAD revealed three subtypes (S‐2, S‐2, and S‐3) related to different clinical and molecular features. S‐3 had higher catabolism‐related pathways enriched, such as amino sugar and nucleotide sugar metabolism and fructose and mannose metabolism, which has the worst prognosis (S1 vs. S2 vs. S3, RFS: p = 0.042).ConclusionsProteomics analyses revealed that the activation of the extracellular matrix and intracellular signal transduction might be the driving mechanisms for early lymph node metastasis. Higher expressed cell proliferation related pathways of early lymph node metastatic LUAD may accelerate the recurrence after curative surgery. Three proteomic subgroups of LUAD with distinct molecular and clinical characteristics were identified, the one of which characterized by enrichment of catabolism‐related pathways displayed the worst survival data.

A nomogram for predicting lymph node metastasis in early gastric signet ring cell carcinoma

At present, the risk factors for lymph node metastasis in early gastric signet ring cell carcinoma (SRCC) remain unclear. However, it is worth noting that the LNM rate and prognosis of early gastric SRCC are superior to those of other undifferentiated cancers. With advancements in endoscopic technology, the 5-year survival rate following endoscopic treatment of early gastric cancer is comparable to traditional surgery while offering a better quality of life. The objective of this study was to develop a nomogram that can predict lymph node status in early gastric SRCC before surgery, aiding clinicians in selecting the optimal treatment strategy. A research cohort was established by retrospectively collecting data from 183 patients with early gastric SRCC who underwent radical gastrectomy with lymph node dissection at our hospital between January 2014 and June 2022. The predictors of early gastric signet ring cell carcinoma lymph node metastasis were identified in the study cohort using the least absolute selection and shrinkage operator (Lasso) and multivariate regression analysis, and a nomogram was developed. The discrimination, accuracy, and clinical practicability of the nomogram were assessed using receiver operating characteristic (ROC) curve analysis, calibration curve analysis, and decision curve analysis. The incidence of lymph node metastasis was 21.9% (40/183) overall. Multivariate logistic regression analysis revealed that tumor size and lymphovascular invasion (LVI) were independent risk factors for lymph node metastasis. Lasso regression analysis demonstrated that tumor size, invasion depth, LVI, E-cadherin expression, dMMR, CA242, NLR, and macroscopic type were associated with lymph node metastasis. The integrated discrimination improvement (IDI) (P = 0.034) and net reclassification index (NRI) (P = 0.023) were significantly improved when dMMR was added to model 1. In addition, the area under curve (AUC) (P = 0.010), IDI (P = 0.001) and NRI (P < 0.001) of the model were significantly improved when type_1 was included. Therefore, we finally included tumor size, invasion depth, dMMR, and macroscopic type to establish a nomogram, which had good discrimination (AUC = 0.757, 95% CI 0.687–0.828) and calibration. Decision curve analysis showed that the nomogram had good clinical performance. We have developed a risk prediction model for early gastric signet ring cell carcinoma that accurately predicts lymph node involvement, providing clinicians with a valuable tool to aid in patient counseling and treatment decision-making.

Precise pattern of lymphatic spread of esophageal squamous cell carcinoma: results of 1074 patients with N1 disease.

The route of lymphatic spread in esophageal cancer remains unclear. The present study aimed to determine the pattern of lymphatic metastasis in its early stages. The data were reviewed of 1074 patients who underwent curative esophagectomy for thoracic esophageal squamous cell carcinoma and metastasis in 1-2 lymph nodes between January 2015 and December 2021. The frequencies of lymph node metastasis were analyzed by the anatomic sites and regions involved. Of the 1074 patients, 668 patients (62.2%) with one positive lymph node and 406 (37.8%) with two positive lymph nodes. Paracardial lymph nodes were the most frequently involved nodes (35.1%), followed by right thoracic recurrent nerve nodes (24.0%), middle thoracic paraesophageal nodes (14.7%), left thoracic recurrent nerve nodes (10.4%), subcarinal nodes (8.0%), lower thoracic paraesophageal nodes (7.8%), and upper thoracic paraesophageal nodes (5.7%). The frequency of lymph node metastasis in other sites was less than 3%. The majority of lymph node metastases occurred in the longitudinal direction to the perigastric (36.5%) and bilateral recurrent nerve regions (33.4%) and in the transverse direction to the paraesophageal region (27.7%). As the tumor location changed from the upper to the lower thoracic esophagus, the frequencies of lymph node metastasis decreased in the bilateral recurrent nerve region but increased in the perigastric region. Bilateral recurrent nerve nodes, paraesophageal lymph nodes, and perigastric nodes were the most common sites of early lymph node metastasis. Esophageal squamous cell carcinoma involves more longitudinal than transverse lymph node metastases.

145. PRECISE PATTERN OF LYMPHATIC SPREAD OF ESOPHAGEAL SQUAMOUS CELL CARCINOMA RESULTS OF 1074 PATIENTS WITH N1 DISEASE

Abstract Objective The precise pattern of lymphatic spread in esophageal cancer remains unclear. The present study aimed to determine the pattern of lymphatic metastasis in its early stages. Methods The data were reviewed of 1074 patients who underwent curative esophagectomy for thoracic esophageal squamous cell carcinoma and metastasis in 1–2 lymph nodes between January 2015 and December 2021. The frequencies of lymph node metastasis were analyzed by the anatomic sites and regions involved. Results Of the 1074 patients, the median number of resected lymph nodes was 27 (interquartile range, 20–35). There were 668 patients (62.2%) with one positive lymph node and 406 patients (37.8%) with two positive lymph nodes. Paracardial lymph nodes were the most frequently involved nodes (35.2%), followed by the right thoracic recurrent nerve nodes (24.0%) and middle thoracic paraesophageal nodes (14.7%). The majority of lymph node metastases occurred in the longitudinal direction to the perigastric (35.2%) and bilateral recurrent nerve regions (33.0%) and in the transverse direction to the paraesophageal region (27.7%). Deep tumor depth (P = 0.047), poor tumor differentiation (P = 0.038), and lymphovascular invasion (P = 0.023) were associated with lymph node metastasis. Conclusion Perigastric nodes, bilateral recurrent nerve nodes, and paraesophageal lymph nodes were the most common early lymph node metastasis regions. Esophageal squamous cell carcinoma involves more longitudinal than transverse lymph node metastases. Two-field lymphadenectomy should include the radical lymph nodes dissection both in the upper mediastinum and in the upper abdomen.

NIR-II Fluorescence Imaging for the Detection and Resection of Cancerous Foci and Lymph Nodes in Early-Stage Orthotopic and Advanced-Stage Metastatic Ovarian Cancer Models.

The high mortality rate of ovarian cancer can be primarily attributed to late diagnosis and early lymph node (LN) metastasis. The anatomically deep-located ovaries own intricate anatomical structures and lymphatic drainages that compromise the resolution and sensitivity of near-infrared first-window (NIR-I) fluorescence imaging. Reported NIR-II imaging studies of ovarian cancer focused on late-stage metastasis detection via the intraperitoneal xenograft model. However, given the significant improvement in patient survival associated with early-stage cancer detection, locating tumors that are restricted within the ovary is equally crucial. We obtained the polymer nanoparticles with bright near-infrared-II fluorescence (NIR-II NPs) by nanoprecipitation of DSPE-PEG, one of the ingredients of FDA-approved nanoparticle products, and benzobisthiadiazole, an organic NIR-II dye. The one-step synthesis and safe component lay the groundwork for its clinical translation. Benefiting from the NIR-II emission (∼1060 nm), NIR-II NPs enabled a high signal-to-noise (S/N) ratio (13.4) visualization of early-stage orthotopic ovarian tumors with NIR-II fluorescence imaging for the first time. Imaging with orthotopic xenograft allows a more accurate mimic of human ovarian cancer origin, thereby addressing the dilemma of translating existing nanoprobe preclinical research by providing the nano-bio interactions with early local tumor environments. After PEGylation, the desirable-sized probe (∼80 nm) exhibited high lymphophilicity and relatively extended circulation. NIR-II NPs maintained their accurate detection of orthotopic tumors, tumor-regional LNs, and minuscule (<1 mm) disseminated peritoneal metastases simultaneously (with S/N ratios all above 5) in mice with advanced-stage cancer in real time ∼36 h after systematic delivery. With NIR-II fluorescence guidance, we achieved accurate surgical staging in tumor-bearing mice and complete tumor removal comparable to clinical practice, which provides preclinical data for translating NIR-II fluorescence image-guided surgery.

Knockdown of Programmed Death 1 Inhibited Progression of Papillary Thyroid Carcinoma in Mice.

PD-L1 and PD1 mainly focused on melanoma, lung cancer and other tumors, while the related studies on early lymph node metastasis of papillary thyroid carcinoma were rarely reported. For elucidating the role of programmed death 1 (PD1)/programmed death ligand 1 (PD-L1) pathway in tumor growth of papillary thyroid carcinoma (PTC). Human thyroid cancer cell line and human normal thyroid cell line were obtained and transfected with si-PD1 or pCMV3-PD1 for the construction of PD1 knockdown or overexpression models. BALB/c mice were purchased for in vivo studies. Nivolumab was implemented for in vivo inhibition of PD1. Western blotting was performed for determining protein expression, while RTqPCR was used to measure relative mRNA levels. The PD1 and PD-L1 levels were both significantly upregulated in PTC mice, while the knockdown of PD1 downregulated both PD1 and PD-L1 levels. Protein expression of VEGF and FGF2 was increased in PTC mice, while si-PD1 decreased their expression. Silencing of PD1 using si-PD1 and nivolumab both inhibited tumor growth in PTC mice. Suppressing PD1/PD-L1 pathway significantly contributed to the tumor regression of PTC in mice.

Correlation of DNA methylation and lymph node metastasis in papillary thyroid carcinoma.

Papillary thyroid carcinoma (PTC) is the most common type of thyroid cancer with a primarily good prognosis, and its 10-year survival rate is over 90%. However, PTC is prone to early lymph node metastasis. Thyroid cancer tissues from PTC patients with lymphatic metastasis and normal tissues were collected for DNA methylation analysis. Different methylation sites, different methylation regions, gene-enriched pathways, and protein-protein interactions (PPIs) were analyzed. There were 1004 differentially methylated sites in the PTC group versus the control group; these involved 479 hypermethylated sites in 415 related genes, 525 hypomethylated sites in 482 related genes, 64 differentially methylated regions located in the CpG island region, 34 differentially methylated genes closely related to thyroid cancer, and 17 genes with differentially methylated genes in the DNA promoter region. NDRG4 hypermethylation and FOXO3, ZEB2, and CDK6 hypomethylation were associated with PTC lymph node metastasis.

Potential role of LPAR5 gene in prognosis and immunity of thyroid papillary carcinoma and pan-cancer

Papillary carcinomas account for the largest proportion of thyroid cancers, with papillary thyroid carcinoma (PTC) being prone to early lymph node metastasis. Some studies have confirmed that LPAR5 can promote the progression of PTC, but immune-related analyses of LPAR5 and PTC have not been widely discussed. This study aimed to determine the role of LPAR5 in PTC prognosis and immunity. We will further explore the role of LPAR5 in 33 different tumor types. Regarding PTC, we analyzed the effect of LPAR5 expression on overall survival (OS). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed. Immune-related analyses of immune checkpoints (ICPs) and immune cell infiltration were also performed. For pan-cancer, R packages were used to analyze prognosis, tumor mutational burden (TMB), microsatellite instability (MSI), and immune cell infiltration. Analysis of tumor microenvironment (TME) and ICPs was performed using Sangerbox (http://vip.sangerbox.com/home.html). The TISIDB database (http://cis.hku.hk/TISIDB/index.php) was used to identify immune and molecular subtypes. LPAR5 expression is associated with PTC prognosis and immunity as well as various human tumors. LPAR5 may be a potential biomarker for multiple malignancies and may provide a new target for cancer immunotherapy.

Clinicopathological and prognostic value of long non-coding RNA CCAT1 expression in patients with digestive system cancer.

Colon cancer associated transcript-1 (CCAT1) is known to play an important role in numerous types of human cancer, including bladder, prostate and ovarian cancer. However, a consistent perspective has not been established in digestive system cancer (DSC). To explore the prognostic value of CCAT1 in patients with DSC, a meta-analysis was performed. A systematic search of PubMed, Embase, Web of Science, China National Knowledge Infrastructure, Chinese Biological Medical Literature database, Cochrane Library and WanFang database was applied to select eligible articles. Pooled odds ratios (ORs) or hazard ratios (HRs) with corresponding 95% confidence intervals (CIs) were calculated to estimate the effects of CCAT1 on pathological or clinical features. A total of 1,719 patients from 12 eligible articles were enrolled in the meta-analysis. The results revealed that elevated CCAT1 expression was significantly related to larger tumor size (OR, 1.81; 95% CI, 1.31-2.48), poorer differentiation (OR, 0.45; 95% CI, 0.31-0.64), earlier lymph node metastasis (OR, 3.14; 95% CI, 2.34-4.22) and advanced TNM stage (OR, 3.08; 95% CI, 2.07-4.59). In addition, high CCAT1 expression predicted a poorer outcome for overall survival rate (HR, 2.37; 95% CI, 2.11-2.67) and recurrence-free survival rate (HR, 2.16, 95% CI, 1.31-3.57). High expression levels of CCAT1 were therefore related to unfavorable clinical outcomes of patients with DSC. These results demonstrated that CCAT1 could serve as a prognostic predictor in human DSC.

The role of tumor microenvironment in cholangiocarcinoma

Cholangiocarcinoma (CCA) is an extremely aggressive neoplasia, mostly because of diagnostic delay and lack of effective therapies. CCA is typically surrounded by a peculiar microenvironment that includes abundant desmoplastic stroma and various cell types, which support and enhance CCA development. Among the tumor microenvironment (TME) cells, there are tumor infiltrating lymphocytes (TILs), such as CD8+ and CD4+ cells, Tregs, natural killers (NKs) and B lymphocytes. TILs contribute to an immunosuppressive microenvironment that leads to tumor immune escape. Dendritic cells (DCs) may lead to immunotolerance by maturation or antigen-presentation deficiency. Hepatic stellate cells (HSCs) are one of the major precursors of cancer-associated fibroblast (CAFs), which are distinguished in various subpopulations, each with different functions and interactions with other TME cells. CAFs can promote lymphangiogenesis, early lymph-node metastasis and proinflammatory environment, but they can also provide a physical and chemical barrier to protect CCA. Tumor-associated macrophages (TAMs) could be differentiated between two phenotypes, pro- and anti-inflammatory, and they may sustain invasiveness and immunosuppression. Myeloid-derived suppressor cells (MDSCs) impair cytotoxic T lymphocytes (CTLs) function, stimulating tumor proliferation and angiogenesis. Tumor-associated neutrophils (TANs) function is influenced by the TME, leading to tumor-suppressing or tumor-promoting functions. This paper aims to provide an overview of the CCA microenvironment cells, their role in tumor progression and possible correlated diagnostic, therapeutic and prognostic implications.

Radiomics and deep learning for large volume lymph node metastasis in papillary thyroid carcinoma.

Thyroid cancer is prone to early lymph node metastasis (LNM), and patients with large volume LNM (LVLNM) tend to have a poorer prognosis. The aim of this study was to predict LVLNM in before surgery based on radiomics and deep learning (DL). A multicenter retrospective study was performed, including 854 papillary thyroid carcinoma (PTC) patients from three centers. Radiomics features were extracted. Logistic regression (LR), support vector machine (SVM), K-nearest neighbors (KNN), multi-layer perceptron (MLP), random forest (RF), ExtraTrees, extreme gradient boosting (XGBoost), and light gradient boosting machine (LightGBM) algorithms were used to construct radiomics models. AlexNet, DenseNet121, inception_v3, ResNet50, and transformer algorithms were used to construct DL models. The receiver operating characteristic (ROC) curve was employed to select the better-performing model. A combined model was then created by merging radiomics features and DL features. The least absolute shrinkage and selection operator (LASSO) method was utilized to identify metabolites and radiomics features with non-zero coefficients. The performance of the models was evaluated using area under the curve (AUC), accuracy (ACC), sensitivity (SEN), specificity (SPE), positive predictive value (PPV), negative predictive value (NPV), and F1-score. A total of 1,357 radiomics features were extracted. Among the radiomics models, the ExtraTrees model demonstrated the optimal diagnostic capabilities with an AUC of 0.787 [95% confidence interval (CI): 0.715-0.858], and DenseNet121 DL model demonstrated the optimal diagnostic capabilities with an AUC of 0.766 (95% CI: 0.683-0.848). Furthermore, the combined model, named the Thy-DL-Radiomics model, exhibited an AUC of 0.839 (95% CI: 0.758-0.920) in the internal validation set and 0.789 (95% CI: 0.718-0.859) in the external validation set. A radiomics-DL features integrated model can predict LVLNM in PTC patients and provide guidance for personalized treatment.

High-risk subtype: Clinical manifestations and molecular characteristics of submandibular gland adenoid cystic carcinoma.

Adenoid cystic carcinoma of the head and neck mainly occurs in the major salivary glands, of which the parotid gland and submandibular gland are the most common. The purpose of this study was to clarify the site-specific differences in prognosis and molecular expression characteristics of the patients and to achieve stratified risk management of the clinical prognosis. By performing a single-centre retrospective analysis combined with analyses of the Surveillance, Epidemiology, and End Results (SEER) database, cBioPortal and GEO databases, the clinical prognostic characteristics and the differences in molecular expression patterns of ACC in the submandibular gland and parotid gland were analysed. Cox regression analysis, the chi-square test, Fisher's test and the log-rank test were used to compare the significance of differences. Compared with patients with parotid gland ACC, the submandibular gland ACC is more likely to have metastases in the cervical lymph node (21.7% vs. 3.3%) and shows a higher rate of distant metastasis within 1 year after the primary site diagnosis (47.8% vs. 23.3%), a worse overall prognosis, more frequent mutations of MYB/MYBL1 (50% vs. 25%) and abnormal upregulation of the phosphatidylinositol-3 kinase (PI3K) pathway. Submandibular gland ACC is associated with site-specific early cervical lymph node metastasis and hidden distant metastasis, along with rapid progression and a poor prognosis. A high MYB/MYBL1 mutation rate and abnormal upregulation of the PI3K pathway with MYB involvement were identified.