The Cancer Genome Atlas (TCGA) has identified four distinct molecular subtypes of gastric cancer (GC) with prognostic significance: Epstein-Barr virus (EBV)-positive, microsatellite instability (MSI)-high, genomically stable (GS), and chromosomal instability (CIN). Unfortunately, the complex analysis required for TCGA classification limits its practical use in clinical settings. Our study sought to devise a next-generation sequencing (NGS)-based method to classify GC more efficiently, serving as a promising biomarker for prognosis and immunotherapy efficacy.

The prognosis for liver cancer (LC) is dismal. Researchers recently discovered cuproptosis, a novel form of controlled cell death whose expression in LC and prognosis are unclear. This study reveals a gene signature to predict LC prognosis.

Previous studies found it difficult to differentiate hepatoid adenocarcinoma of the stomach (HAS) from conventional gastric adenocarcinoma (CGA). We aimed to assess the efficacy of a computed tomography (CT)-based radiomics nomogram in identifying HAS.

The occurrence of colorectal cancer (CRC) is increasing among young adults, but the etiology is still largely unknown. In addition to germline monogenetic variants also polygenic risk scores (PRS) have been proven to correctly estimate the risk of CRC.

Esophageal mucinous adenocarcinoma (MAC) is a rare adenocarcinoma (AC) subtype. Limited research exists on its incidence, survival rates, and treatment responses. This study utilized the Surveillance, Epidemiology, and End Results (SEER) database to compare the clinical characteristics and prognoses of patients with esophageal MAC, AC, and signet-ring cell carcinoma (SRC), and developed nomograms to predict outcomes.

Colonoscopy remains the predominant diagnostic modality for colorectal cancer (CRC), as the diagnostic performance of tumor markers in alone, particularly in the early stages of the disease, is limited. This study sought to develop a diagnostic model for CRC that integrated various laboratory parameters.

Partial hepatectomy (PH) is the primary method used for treating liver injury and transplantation. The regeneration process after hepatectomy requires an adequate energy supply, and mitochondria serve as the primary source of energy. Alterations in genes related to the respiratory chain complex may impact the liver regeneration process. The aim of this study was the changes in mitochondrial structure and mitochondrial function in 85% PH.

Pancreatic adenocarcinoma (PAAD) is a highly aggressive malignant tumor with a poor prognosis. Integrin subunit genes (ITGs) serve as biomarkers for various types of cancers; however, to date, no prognostic research has been conducted on the ITGs in PAAD. This study aims to fill this gap by investigating the role of ITGs in PAAD prognosis.

Colorectal cancer (CRC) is a common intestinal malignancy worldwide, posing a serious threat to public health. Due to its high heterogeneity, prognosis and drug response of different CRC patients vary widely, limiting the effectiveness of traditional treatment. Therefore, this study aims to construct a novel CRC prognostic signature using machine learning algorithms to assist in making informed clinical decisions and improving treatment outcomes.

Progranulin (PGRN), also identified as Precursor cell-derived growth factor (PCDGF), is a glycoprotein that is expressed and released ubiquitously. PGRN is plays a crucial role in regulating cell proliferation, differentiation, and pathological pathways. PGRN overexpression has been noted in many cancers and plays an important role in wound healing. Surgery's impact on PGRN levels is unknown. The aim of this study was to assess the levels of plasma PGRN before during the first month after minimally invasive colorectal resection (MICR) for colorectal cancer (CRC) resection.

Large hepatocellular carcinoma (HCC) with a diameter ≥5 cm remains a significant challenge of poor survival and raises the need for prognosis evaluation. This study aimed to develop and validate a nomogram-based prognostic stratification to assess overall survival (OS) of patients with large HCC.

In China, transarterial chemoembolization (TACE) and systemic therapy are the primary treatment for patients with advanced hepatocellular carcinoma (HCC). Hepatic arterial infusion chemotherapy (HAIC) is more effective than TACE in treating large HCC (largest diameter ≥7 cm) without macrovascular invasion or extrahepatic spread. Additionally, HAIC in combination with camrelizumab and apatinib has shown promising efficacy and safety in the Barcelona Clinic Liver Cancer stage C (BCLC-C) HCC. The efficacy and safety of the modality of HAIC followed by TACE combined with camrelizumab and apatinib for the treatment of large HCC remains unknown. We present the first case of long-term survival after short-course HAIC followed by TACE combined with camrelizumab and apatinib in large HCC.

The preoperative evaluation of the expression levels of Ki-67, p53, and epidermal growth factor receptor (EGFR) based on magnetic resonance imaging (MRI) of rectal cancer is necessary to facilitate individualized therapy. This study aimed to develop and validate radiomics models for the evaluation of the expression levels of Ki-67, p53, and EGFR of rectal cancer from preoperative MRI.

PANoptosis is a cell death pathway involved in pyroptosis, apoptosis and necrosis, and plays a key role in the development of malignant tumors. However, the molecular signature of PANoptosis in colorectal cancer (CRC) prognosis has not been thoroughly explored. The present study aimed to develop a novel prognostic model based on PANoptosis-related genes in CRC.

Hepatocellular carcinoma (HCC) is currently one of the most common malignant tumors with the highest mortality rates in the world. Most patients with HCC have lost the opportunity for surgery at the time of initial diagnosis. This study aims to introduce a new conversion strategy: trans-arterial chemo-emobilization (TACE) combined with laparoscopic portal vein ligation (PVL) and terminal branches portal vein embolization (PVE).