ArticleExperimental and therapeutic medicine2019
Morphine and ketamine treatment suppress the differentiation of T helper cells of patients with colorectal cancer
Article in Experimental and therapeutic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- The subtype identification of colorectal cancer and construction of the risk model based on cholesterol synthesis-related genes to predict prognosis and guide immunotherapy.International journal of colorectal disease · 2026Article
- The relationship between anesthesia, surgery and postoperative immune function in cancer patients: a review.Frontiers in immunology · 2024Review
- CCDC68 predicts poor prognosis in patients with colorectal cancer: a study based on TCGA data.Journal of gastrointestinal oncology · 2022Article
- Can Acute Postoperative Pain Management After Tumour Resection Surgery Modulate Risk of Later Recurrence or Metastasis?Frontiers in oncology · 2021Review
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There have been conflicting reports regarding the effects of anesthetic and analgesic drugs on immune function in patients with cancer. The aim of the present study was to investigate changes to T helper (Th) cell populations in patients with colorectal cancer (CRC) and to assess the effects of morphine and ketamine on the differentiation of Th cells harvested from patients with CRC
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.