Publications by authors named "Guiru Jia"

Aim: The prognosis for gastric cancer (GC) remains grim, underscoring the importance of accurate staging and treatment. Given the potential benefits of using lymph node ratio (LNR) for improved prognostication and treatment planning, it is critical to incorporate examined lymph nodes (ELN) count in an integrated GC staging system.

Methods: Patients data from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2015 was utilized as training set.

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Background: Oral antibiotics (OA) combined with mechanical bowel preparation (MBP) significantly decrease the rate of surgical site infections (SSIs). However, the prophylactic effects in region-specific colorectal surgery have not been assessed.

Materials And Methods: A single-centre, single-blind, randomized controlled trial was conducted from 2019 to 2022.

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Aim: The incidence and risk factors of low anterior resection syndrome (LARS) largely variate in different studies. In addition, there is lack of study on how patients evaluate the therapeutic effect of LARS. This single-center retrospective study aims to investigate the status of LARS in Chinese patients undergoing laparoscopic low anterior resection (LAR).

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We aimed to explore reasonable lymph node classification strategies for left-sided colon cancer (LCC) patients. 48,425 LCC patients from 2010 to 2015 were identified in the US Surveillance, Epidemiology, and End Results database. We proposed an innovative revised nodal (rN) staging of the 8th American Joint Committee on Cancer (AJCC) Tumor/Node/Metastasis (TNM) classification based on the cut-off value of retrieved lymph nodes and survival analyses in patients with LCC.

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A single genome gives rise to diverse tissues through complex epigenomic mechanisms, including N-methyladenosine (mA), a widespread RNA modification that is implicated in many biological processes. Here, to explore the global landscape of mA in human tissues, we generated 21 whole-transcriptome mA methylomes across major fetal tissues using mA sequencing. These data reveal dynamic mA methylation, identify large numbers of tissue differential mA modifications and indicate that mA is positively correlated with gene expression homeostasis.

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