Nanocoding: Lipid Nanoparticle Barcoding for Multiplexed Single-Cell RNA Sequencing.

Sample multiplexing is an emerging method in single-cell RNA sequencing (scRNA-seq) that addresses high costs and batch effects. Current multiplexing schemes use DNA labels to barcode cell samples but are limited in their stability and extent of labeling across heterogeneous cell populations. Here, we introduce Nanocoding using lipid nanoparticles (LNPs) for high barcode labeling density in multiplexed scRNA-seq.

Does neoadjuvant therapy contribute to increased risk in anastomotic leakage of esophageal cancer? A network meta-analysis.

Aim: Conflicting results have been reported about the impact of neoadjuvant therapy on anastomotic leakage (AL) after esophagectomy. We aimed to unravel the potential effect of neoadjuvant therapy on AL after esophagectomy through a network meta-analysis.

Methods: A Bayesian network meta-analysis was performed by retrieving relevant literature from PubMed, EMbase, The Cochrane Library and Web of Science Core Collection.

P4HA2 activates mTOR via hydroxylation and targeting P4HA2-mTOR inhibits lung adenocarcinoma cell growth.

Mammalian target of rapamycin (mTOR) kinase functions as a central regulator of cell growth and metabolism, and its complexes mTORC1 and mTORC2 phosphorylate distinct substrates. Dysregulation of mTOR signaling is commonly implicated in human diseases, including cancer. Despite three decades of active research in mTOR, much remains to be determined.

Spatiotemporal distribution of mediastinal neoplasms: A comprehensive multi-center study.

Objectives: Mediastinal neoplasms are typical but uncommon thoracic diseases with increasing incidence and unfavorable prognoses. A comprehensive understanding of their spatiotemporal distribution is essential for accurate diagnosis and timely treatment. However, previous studies are limited in scale and data coverage.

Impact of CT-guided hookwire localization on tumor spread through air spaces in stage IA lung adenocarcinoma.

Background: It remains undetermined whether preoperative computed tomography (CT)-guided hookwire localization would result in elevated risk of tumor spread through air spaces (STAS) in stage IA lung adenocarcinoma.

Methods: A total of 1836 patients who underwent lobectomy were included. To eliminate the potential impact of confounding factors on producing STAS, propensity score-matching (PSM) was used to create two balanced subgroups stratified by implementation of hookwire localization.

Impact of the extent of recurrent laryngeal nerve lymphadenectomy on thoracic esophageal squamous cell carcinoma: a real-world multicentre study.

Objectives: To determine the impact of recurrent laryngeal nerve (RLN) lymph node (LN) dissection on survival and postoperative complications in patients with oesophageal squamous cell carcinoma (ESCC).

Methods: Patients with cT1-4N0-3M0 thoracic ESCC who underwent oesophagectomy and two-field lymphadenectomy from three institutions were included. The entire cohort was divided into three groups that underwent the total two-field lymphadenectomy (T-2FL), standard two-field lymphadenectomy (S-2FL) or unilateral RLN-LN dissection plus S-2FL (U-2FL) based on the extent of RLN-LN dissection.

LTF Induces Radioresistance by Promoting Autophagy and Forms an AMPK/SP2/NEAT1/miR-214-5p Feedback Loop in Lung Squamous Cell Carcinoma.

Radiotherapy is the most predominant treatment strategy for lung squamous cell carcinoma (LUSC) patients, but radioresistance is the major obstacle to therapy effectiveness. The mechanisms and regulators of LUSC radioresistance remain unclear. Here, lactotransferrin (LTF) is found to be significantly upregulated in radioresistant LUSC cell lines (H226R and H1703R) and clinical samples and promotes radioresistance of LUSC both and .

Clinical implications and molecular features of tertiary lymphoid structures in stage I lung adenocarcinoma.

Aims: We investigated the clinical implications and molecular features of TLS in stage I lung adenocarcinoma (LUAD).

Methods: We retrospectively reviewed the clinicopathological characteristics of 540 patients with p-stage I LUAD. Logistic regression analysis was applied to determining the relationships between clinicopathological features and the presence of TLS.

Clinical profiles and intraoperative identification of complex glands in stage I lung adenocarcinoma.

Objectives: This study aimed to investigate the potential of complex glandular patterns (CGP) in lymph node micrometastasis (LNMM) and to determine the clinical beneficiaries in stage I lung adenocarcinoma (LUAD) with CGP. Meanwhile, the feasibility of detecting CGP on frozen section was also evaluated.

Methods: We retrospectively analysed the clinicopathological characteristics of 848 pathologic-stage I LUADs.

Log odds of positive lymph nodes is a robust predictor of survival and benefits from postoperative radiotherapy in stage IIIA-N2 resected non-small cell lung cancer.

Background: The significance of postoperative adjuvant radiotherapy (PORT) on the survival of resected IIIA-N2 non-small cell lung cancer (NSCLC) remains controversial. Here, we aimed to determine the predictive value of the three nodal classifications which might aid in PORT decision-making.

Methods: A total of 4797 patients with stage IIIA-N2 resected NSCLC were identified in the Surveillance, Epidemiology and End Results (SEER) database and were grouped by whether PORT was administered.

A narrative review of artificial intelligence-assisted histopathologic diagnosis and decision-making for non-small cell lung cancer: achievements and limitations.

Objective: To summarize the current evidence regarding the applications, workflow, and limitations of artificial intelligence (AI) in the management of patients pathologically-diagnosed with lung cancer.

Background: Lung cancer is one of the most common cancers and the leading cause of cancer-related deaths worldwide. AI technologies have been applied to daily medical workflow and have achieved an excellent performance in predicting histopathologic subtypes, analyzing gene mutation profiles, and assisting in clinical decision-making for lung cancer treatment.

Prognostic and predictive value of the newly proposed grading system of invasive pulmonary adenocarcinoma in Chinese patients: a retrospective multicohort study.

Our aim was to validate and analyze the prognostic impact of the novel International Association for the Study of Lung Cancer (IASLC) Pathology Committee grading system for invasive pulmonary adenocarcinomas (IPAs) in Chinese patients and to evaluate its utility in predicting a survival benefit from adjuvant chemotherapy (ACT). In this multicenter, retrospective, cohort study, we included 926 Chinese patients with completely resected stage I IPAs and classified them into three groups (Grade 1, n = 119; Grade 2, n = 431; Grade 3, n = 376) according to the new grading system proposed by the IASLC. Recurrence-free survival (RFS) and overall survival (OS) were estimated by the Kaplan-Meier method, and prognostic factors were assessed using univariable and multivariable Cox proportional hazards models.

Comprehensive analysis of prognostic value of lymph node classifications in esophageal squamous cell carcinoma: a large real-world multicenter study.

Background: We aim to assess the prognostic ability of three common lymph node-based staging algorithms, namely, the number of positive lymph nodes (pN), the lymph node ratio (LNR), and log odds of positive lymph nodes (LODDS) in patients with esophageal squamous cell carcinoma (ESCC).

Methods: A total of 3902 ESCC patients treated at 10 Chinese institutions between 2003 and 2013 were included, along with 2465 patients from the Surveillance, Epidemiology, and End Results (SEER) database. The prognostic ability of the aforementioned algorithms was evaluated using time-dependent receiver operating characteristic (tdROC) curves, , Harrell's concordance index (C-index), and the likelihood ratio chi-square score.

Benefit of adjuvant chemotherapy for patients with stage IB non-small cell lung cancer: a systematic review and meta-analysis.

Background: Adjuvant chemotherapy (ACT) is routinely the recommended treatment for patients with advanced non-small cell lung cancer (NSCLC) but remains a controversial option in stage IB patients. We therefore pooled the current evidence to determine the prognostic impact of ACT in stage IB NSCLC patients in the context of the eighth tumor, node, metastasis (TNM) staging system.

Methods: Five electronic databases were searched for eligible studies up to December 2020 without language restrictions.

Potentiated lung adenocarcinoma (LUAD) cell growth, migration and invasion by lncRNA DARS-AS1 via miR-188-5p/ KLF12 axis.

Lung adenocarcinoma (LUAD) is the most common histological type of non-small cell lung cancer (NSCLC). Due to the nonspecific early symptoms, the majority of the diagnosed LUAD patients are in the middle and late stages, with multiple metastases, and have missed the optimal period for treatment. Current studies have reported lncRNA DARS-AS1 as a cancer-promoting gene that expedites tumorigenesis.

[Progress in Single-cell RNA Sequencing of Lung Adenocarcinoma].

Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer and one of the main causes of cancer-related deaths. In the past decade, with the widespread use of computed tomography (CT) in routine screening for lung cancer, the incidence of LUAD presenting as small pulmonary nodules radiologically, has increased remarkably. The mechanisms of the occurrence and progression of LUADs are complex, and the prognoses of patients with LUAD vary significantly.

M2 macrophage-derived exosomal long non-coding RNA AGAP2-AS1 enhances radiotherapy immunity in lung cancer by reducing microRNA-296 and elevating NOTCH2.

Long noncoding RNAs (lncRNAs) and microRNAs (miRNAs) play vital roles in human diseases. We aimed to identify the effect of the lncRNA AGAP2 antisense RNA 1 (AGAP2-AS1)/miR-296/notch homolog protein 2 (NOTCH2) axis on the progression and radioresistance of lung cancer. Expression of AGAP2-AS1, miR-296, and NOTCH2 in lung cancer cells and tissues from radiosensitive and radioresistant patients was determined, and the predictive role of AGAP2-AS1 in the prognosis of patients was identified.

Simultaneous Vascular Reconstruction and Cervical Anastomosis in McKeown Esophagectomy.

A stomach was considered ineligible to be an ideal conduit conventionally if its right gastroepiploic artery (RGEA) were injured. However, both sufficient blood flow and good venous return are crucial to the success of reconstruction. And there lacks robust evidence regarding the surgical techniques of reconstructing RGEA and right gastroepiploic vein (RGEV) and performing cervical anastomosis with gastric conduit simultaneously.

Concurrent use of metformin enhances the efficacy of EGFR-TKIs in patients with advanced EGFR-mutant non-small cell lung cancer-an option for overcoming EGFR-TKI resistance.

Background: Resistance is almost inevitable and is still a major obstacle in epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitor (TKI) therapy. Only limited relevant clinical studies evaluated the therapeutic effects by combing metformin and EGFR-TKIs in non-small cell lung cancer (NSCLC) patients. Therefore, we evaluated the efficacy of concurrent use of metformin with EGFR-TKIs, and assessed whether the addition of metformin may improve clinical outcomes and delay the occurrence of EGFR-TKI resistance.

Extracapsular lymph node involvement is a robust survival predictor in esophageal cancer patients: A pooled analysis.

Background: Although extracapsular lymph node involvement (EC-LNI) has been proposed to be incorporated into the staging system of esophageal cancer, the prognostic value of EC-LNI remains controversial with conflicting data available, especially in the era of neoadjuvant therapy.

Methods: An electronic literature search was undertaken using four public databases. Studies investigating the effects of EC-LNI on survival were included.

Characterization of Tumor Microenvironment in Lung Adenocarcinoma Identifies Immune Signatures to Predict Clinical Outcomes and Therapeutic Responses.

Background And Objective: Increasing evidence has elucidated the clinicopathological significance of individual TME component in predicting outcomes and immunotherapeutic efficacy in lung adenocarcinoma (LUAD). Therefore, we aimed to investigate whether comprehensive TME-based signatures could predict patient survival and therapeutic responses in LUAD, and to assess the associations among TME signatures, single nucleotide variations and clinicopathological characteristics.

Methods: In this study, we comprehensively estimated the TME infiltration patterns of 493 LUAD patients and systematically correlated the TME phenotypes with genomic characteristics and clinicopathological features of LUADs using two proposed computational algorithms.