Objective: The aim of this study was to diagnose lymph node metastasis of esophageal cancer by support vector machines model based on computed tomography.
Materials And Methods: A total of 131 esophageal cancer patients with preoperative chemotherapy and radical surgery were included. Various indicators (tumor thickness, tumor length, tumor CT value, total number of lymph nodes, and long axis and short axis sizes of largest lymph node) on CT images before and after neoadjuvant chemotherapy were recorded. A support vector machines model based on these CT indicators was built to predict lymph node metastasis.
Results: Support vector machines model diagnosed lymph node metastasis better than preoperative short axis size of largest lymph node on CT. The area under the receiver operating characteristic curves were 0.887 and 0.705, respectively.
Conclusions: The support vector machine model of CT images can help diagnose lymph node metastasis in esophageal cancer with preoperative chemotherapy.
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http://dx.doi.org/10.1097/RCT.0000000000000555 | DOI Listing |
Biochem Genet
December 2024
Department of Obstetrics and Gynecology, Wuhan Third Hospital (Tongren Hospital of Wuhan University), No.216, Guanshan Avenue, Hongshan District, Wuhan, 430074, Hubei, China.
Cisplatin, a platinum-based chemotherapeutic agent, can be used to treat cervical cancer (CC), but cisplatin resistance is increased during the cisplatin treatment. Long non-coding RNA PGM5-AS1 reportedly participates in CC tumorigenesis; however, its role in CC patients with cisplatin resistance has not been revealed. The present aimed to examine the role of PGM5-AS1 in modulating cisplatin resistance in CC.
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December 2024
Department of Radiology, the Affiliated Taian City Central Hospital of Qingdao University, Tai'an, 271099, China.
This study aimed to investigate the correlation between baseline MRI features and baseline carcinoembryonic antigen (CEA) expression status in rectal cancer patients. A training cohort of 168 rectal cancer patients from Center 1 and an external validation cohort of 75 rectal cancer patients from Center 2 were collected. A nomogram was constructed based on the training cohort and validated using the external validation cohort to predict high baseline CEA expression in rectal cancer patients.
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December 2024
Department of General Surgery, Chifeng Municipal Hospital, Inner Mongolia Medical University, Inner Mongolia, 024000, People's Republic of China.
Rectal cancer is a prevalent global malignancy. Recurrence and metastasis significantly impact patient survival over the long term. This study aims to identify independent risk factors associated with distant metastases in rectal cancer (RC) patients and develop a prognostic columnar-line diagram.
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December 2024
Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
PrPc is expressed in various tumors and is associated with cancer progression, but previous studies have shown conflicting results regarding its relationship with patient prognosis-potentially due to differences in the antibodies used. This study aimed to clarify the relationship between PrPc expression and primary esophageal squamous cell carcinoma (ESCC) and primary hepatocellular carcinoma (HCC) using a novel anti-PrPc antibody, 4AA-m, noted for its high specificity and sensitivity. We used flow cytometry to detect PrPc expression in ESCC and HCC cell lines.
View Article and Find Full Text PDFBiomark Res
December 2024
L. Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Rudolf Weigl 12, 53-114, Wroclaw, Poland.
Chronic lymphocytic leukemia (CLL) is prevalent in adults and is characterized by the accumulation of mature B cells in the blood, bone marrow, lymph nodes, and spleens. Recent progress in therapy and the introduction of targeted treatments [inhibitors of Bruton's tyrosine kinase (BTKi) or inhibitor of anti-apoptotic B-cell lymphoma-2 (Bcl-2i) protein (venetoclax)] in place of chemoimmunotherapy have significantly improved the outcomes of patients with CLL. These advancements have shifted the importance of traditional predictive markers, leading to a greater focus on resistance genes and reducing the significance of mutations, such as TP53 and del(17p).
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