LncRNA BASP1-AS1 Drives PCBP2 K115 Lactylation to Suppress Ferroptosis and Confer Oxaliplatin Resistance in Gastric Cancer.

In oxaliplatin-resistant gastric cancer (GC), multi-omics profiling combined with organoid libraries reveals altered metabolic pathways associated with chemoresistance. We identify a novel lactylation modification at K115 of Poly(RC)-binding protein 2 (PCBP2K115la), which confers functional oxaliplatin resistance. Mechanistic studies demonstrate that the long non-coding RNA BASP1-AS1 assembles a complex containing Unc-51 Like Autophagy Activating Kinase 1 (ULK1) and lactate dehydrogenase A (LDHA), thereby activating LDHA enzymatic activity to increase lactate production.

Lenvatinib Plus Paclitaxel as Second-Line Therapy for Advanced Gastric Cancer Patients: A Dose Escalation Exploratory Study.

Second-line treatment options for advanced gastric cancer (AGC) patients remain limited. This dose escalation exploratory study is aimed to determine the maximum tolerated dose (MTD) of lenvatinib plus paclitaxel as second-line treatment in AGC and to explore molecular biomarkers using dynamic network biomarker (DNB) analysis. Eligible patients are treated with lenvatinib plus paclitaxel (135 mg m, q3w).

Multi-omics profiling of metastatic colorectal cancer reveals the transcriptional network of focal adhesion and immune suppression and the role of p-RPS6.

Background: Colorectal cancer (CRC) is one of the deadliest malignancies worldwide characterized by rapid progression, high metastasis propensity. Our study aimed to identify the driving biological factors of metastatic CRC.

Methods: We obtained frozen tumor tissues of 8 metastatic CRC (mCRC) patients and 10 non-metastatic CRC (nmCRC) patients from Ruijin Hospital for proteome analysis.

Machine Learning-Driven SERS Analysis Platform for Accurate and Rapid Diagnosis of Peritoneal Metastasis from Gastric Cancer.

Background: Peritoneal metastasis (PM) is the most common form of distant metastasis in gastric cancer and is a major cause of mortality. Current diagnostic approaches suffer from low sensitivity, time-consuming procedures, and cannot provide real-time diagnostic information. Surface-enhanced Raman spectroscopy (SERS) combined with machine learning algorithms has emerged as a promising tool for cancer diagnosis.

Constructing a novel mitochondrial metabolism-related genes signature to evaluate tumor immune microenvironment and predict survival of colorectal cancer.

Background: Colorectal cancer (CRC) is a highly lethal gastrointestinal malignancy with substantial global health implications. Although mitochondrial metabolism genes play a crucial role in CRC development, their prognostic significance remains unclear.

Methods: This study systematically analyzed the expression and prognostic value of mitochondrial metabolism-related genes in CRC patients, establishing a risk model using data from TCGA and GEO databases.

Asian consensus on normothermic intraperitoneal and systemic treatment for gastric cancer with peritoneal metastasis.

Peritoneal metastasis (PM) is a major challenge in advanced gastric cancer (GC) with poor prognosis. Normothermic intraperitoneal and systemic treatment (NIPS) has become a promising therapeutic approach. This consensus aims to provide practical recommendations for NIPS treatment for gastric cancer with peritoneal metastasis (GCPM).

Resveratrol targets mitochondrial USP36-SOD2 to induce autophagy-ferroptosis and inhibit gastric cancer progression.

Background: Gastric cancer is an aggressive malignancy with high metastatic potential, limiting effective treatments. Resveratrol, a natural polyphenol, exhibits anti-cancer properties by modulating mitochondrial function and inducing programmed cell death (PCD) pathways. However, its role in mitochondrial disruption and the regulation of deubiquitination remains unclear.

Methotrexate exerts antitumor immune activity and improves the clinical efficacy of immunotherapy in patients with solid tumors.

Low-dose methotrexate (MTX) is the first-line drug for treating rheumatoid arthritis as an immunosuppressor. We have identified that low-dose MTX exhibits antitumor immune activity. MTX treatment reduced tumor metastasis and enhanced the efficacy of radiation therapy and immune checkpoint blockade therapy in mice.

Tertiary lymphoid structures signature predicts prognosis and clinical benefits from neoadjuvant chemotherapy and PD-1 blockade in colorectal adenocarcinoma.

Background: Tertiary lymphoid structures (TLS) are emerging biomarkers for enhanced anti-tumoral immunity and treatment efficacy in colorectal cancer (CRC). This study aimed to develop a CRC-specific TLS signature and evaluate its predictive roles in survival prognosis and therapeutic responses to chemotherapy, and PD-1 blockade.

Materials And Methods: Transcriptomic data from TCGA database were analyzed to establish a TLS signature.

[Clinical application of intraperitoneal chemotherapy ports in patients with gastric cancer and peritoneal metastases].

To evaluate the clinical value and safety of an intraperitoneal chemotherapy port technique in patients with gastric cancer and peritoneal metastases undergoing intraperitoneal chemotherapy. This was a retrospective, descriptive case analysis. From November 2022 to October 2024, patients diagnosed with gastric cancer and peritoneal metastases at Wuxi Branch of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine with an expected survival >3 months, underwent laparoscopic exploration combined with implantation of an intraperitoneal chemotherapy port [PORT-A-CATH II system (Model 21-4055-24)] implantation.

[Clinical value and implementation strategies of normothermic intraperitoneal and systemic chemotherapy (NIPS) in the treatment of gastric cancer with peritoneal metastasis].

Peritoneal metastasis of gastric cancer is a common metastatic form in advanced gastric cancer, and conventional systemic chemotherapy has shown unsatisfactory efficacy. This article systematically examines the clinical value and implementation strategies of normothermic intraperitoneal chemotherapy and systemic therapy (NIPS) in the treatment of gastric cancer peritoneal metastasis. It covers aspects such as the precise selection of treatment candidates, optimization of drug regimens, standardized management of intraperitoneal chemotherapy ports, determination of the appropriate timing for conversion surgery, and postoperative treatment optimization.

[Key measures to improve the efficacy of diagnosis and treatment of gastric cancer with peritoneal metastasis].

Once peritoneal metastasis occurs, the prognosis of gastric cancer is extremely poor, and the median survival time is only about 6-9 months. In recent years, the clinical research on peritoneal metastasis of gastric cancer has become a hot spot. Based on the research results at home and abroad, the author put forward several important measures, which will contribute to further improve the curative effect of gastric cancer with peritoneal metastasis.

Safety and efficacy of indocyanine green-guided laparoscopic lymphadenectomy for locally advanced gastric cancer: The CLASS-11 clinical trials.

We report the short-term results of indocyanine green (ICG)-guided laparoscopic lymphadenectomy for gastric cancer (GC). The primary outcome is 3-year disease-free survival. In this analysis, we present short-term secondary outcomes focused on the number of lymph nodes (LNs) retrieved and the diagnostic value of fluorescent status for metastatic LNs, excluding long-term outcomes.

Deciphering of intra-tumoural heterogeneity and the interplay between metastasis-associated meta-program and myofibroblasts in gastric cancer.

Background: Gastric cancer (GC) exhibits high heterogeneity that relies on the oncogenic properties of cancer cells and multicellular interactions in the tumour microenvironment. However, the heterogeneity of GC and their molecular characteristics are still largely unexplored.

Methods: We employed single-cell and spatial transcriptomics to comprehensively map the intra-tumoural heterogeneity within GC.

Optimizing surgical timing following neoadjuvant therapy for gastric Cancer: Insights from a multicenter retrospective analysis.

Background: Neoadjuvant therapy (NAT) is a cornerstone in the treatment of locally advanced gastric cancer, improving surgical outcomes and survival. However, the optimal timing for surgery following NAT remains controversial. This study evaluates the impact of the interval between NAT and surgery on overall survival (OS) and explores associated clinicopathological factors.

Loss of DRD5P2 in hypoxia attenuates Rock2 degradation to promote EMT and gastric cancer metastasis.

Background: Metastasis is the leading cause of gastric cancer (GC)-related death. However, the molecular mechanisms underlying GC metastasis are not well understood. In this study, we focused on dopamine receptor 5 pseudogene 2 (DRD5P2), a novel long non-coding RNA, in GC metastasis.

Preoperative assessment and prognostic prediction of gastric cancer patients with peritoneal metastasis using F-FDG PET/CT before conversion surgery.

Background: Conversion therapy followed by conversion surgery (CS) can improve the prognosis of gastric cancer (GC) patients with peritoneal metastasis (PM). However, patients benefit differently. There is no way to confirm the prognostic benefit non-invasively and early.

Use of the Malaria Protein VAR2CSA for the Detection of Small Extracellular Vesicles to Diagnose Adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) poses a significant challenge for early diagnosis due to the lack of sensitive and specific biomarkers. This encouraged us to explore the diagnostic value of cancer-derived small extracellular vesicles (sEVs) as early detection biomarkers. We previously showed that the recombinant malaria protein VAR2CSA (rVAR2) selectively binds to oncofetal chondroitin sulfate (ofCS) on the surfaces of cancer cells, which might be useful for identifying cancer-derived sEVs.

Identification and validation of platinum resistance signature in gastric cancer.

Background: Platinum was the first drug with proven activity against gastric cancer (GC), the combination with fluoropyrimidine is the standard first-line systemic therapy for patients of GC. However, a major cause of treatment failure still is the existence of drug resistance. The purpose of this study is to identify and validate the platinum-related genes in GC and to construct a multi-gene joint signature for predicting the prognosis of GC patients.

Paracancerous binuclear hepatocytes assessed by computer program is a novel biomarker for short term recurrence of hepatocellular carcinoma after surgery.

Hepatocellular carcinoma (HCC) is notorious for its high likelihood of recurrence even after radical surgery, which calls for effective adjuvant therapy based on more precise patient selection. The decline of the abundance of binuclear hepatocytes (ABH) in paracancerous liver tissues has been reported to indicate pathological changes in liver cells, leading to short-term recurrence within 2 years. In this research, we analyzed 34 HCC patients and 22 patients underwent liver surgery for non-HCC diseases.

Single-cell analyses reveal metastasis mechanism and microenvironment remodeling of lymph node in intrahepatic cholangiocarcinoma.

Background & Aims: Lymph node metastasis (LNM) is a major determinant of recurrence and prognosis in intrahepatic cholangiocarcinoma (iCCA). LNM disrupts T cell-mediated cytotoxicity, promotes tumor-specific immune tolerance, and facilitates distant metastasis. Despite its importance, extensive research on LMN in iCCA is lacking.

Protocol for the creation and utilization of 3D pancreatic cancer models from circulating tumor cells.

We introduce a protocol for generating 3D organoids from circulating tumor cells (CTCs), enabling longitudinal functional and molecular analyses in pancreatic cancer patients, including those with unresectable disease, which constitutes the majority of cases. We outline the process for isolating and characterizing CTCs from the blood of pancreatic cancer patients and provide detailed instructions for initiating, passaging, and phenotyping CTC-derived organoids. Additionally, we describe techniques for utilizing these organoids in drug screening with a focus on stemness-related pathways.

scSMD: a deep learning method for accurate clustering of single cells based on auto-encoder.

Background: Single-cell RNA sequencing (scRNA-seq) has transformed biological research by offering new insights into cellular heterogeneity, developmental processes, and disease mechanisms. As scRNA-seq technology advances, its role in modern biology has become increasingly vital. This study explores the application of deep learning to single-cell data clustering, with a particular focus on managing sparse, high-dimensional data.