Evidence map›Paper›PMID 38888489›Full record

ArticleJournal of cellular and molecular medicine2024

Characterization of unique pattern of immune cell profile in patients with nasopharyngeal carcinoma through flow cytometry and machine learning.

Li-Jen Liao, Chien-Chen Tsai, Po-Yu Li, Cheng-Yun Lee, Shian-Ren Lin, Wan-Yu Lai, I-Yu Chen, Chiung-Fang Chang, Jan-Mou Lee, Yen-Ling Chiu

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Li-Jen LiaoDepartment of Otolaryngology, Far Eastern Memorial Hospital, New Taipei City, Taiwan.
Chien-Chen TsaiDepartment of Anatomical Pathology, Far Eastern Memorial Hospital, New Taipei City, Taiwan.
Po-Yu LiFullHope Biomedical Co., Ltd, New Taipei City, Taiwan.
Cheng-Yun LeeFullHope Biomedical Co., Ltd, New Taipei City, Taiwan.
Shian-Ren LinFullHope Biomedical Co., Ltd, New Taipei City, Taiwan.
Wan-Yu LaiFullHope Biomedical Co., Ltd, New Taipei City, Taiwan.
I-Yu ChenDivision of Nephrology, Department of Medicine, Far Eastern Memorial Hospital, New Taipei City, Taiwan.
Chiung-Fang ChangDepartment of Medical Research, Far Eastern Memorial Hospital, New Taipei City, Taiwan.
Jan-Mou LeeFullHope Biomedical Co., Ltd, New Taipei City, Taiwan.ORCID 0000-0001-6876-6465
Yen-Ling ChiuDivision of Nephrology, Department of Medicine, Far Eastern Memorial Hospital, New Taipei City, Taiwan.

Funding

Far Eastern Memorial Hospital FEMH-2020-C-009Far Eastern Memorial Hospital FEMH-2021-C-009
6 · The paper itself

Abstract

In patients with nasopharyngeal carcinoma (NPC), the alteration of immune responses in peripheral blood remains unclear. In this study, we established an immune cell profile for patients with NPC and used flow cytometry and machine learning (ML) to identify the characteristics of this profile. After isolation of circulating leukocytes, the proportions of 104 immune cell subsets were compared between NPC group and the healthy control group (HC). Data obtained from the immune cell profile were subjected to ML training to differentiate between the immune cell profiles of the NPC and HC groups. We observed that subjects in the NPC group presented higher proportions of T cells, memory B cells, short-lived plasma cells, IgG-positive B cells, regulatory T cells, MHC II

Indexed as

Flow CytometryMachine LearningNasopharyngeal CarcinomaNasopharyngeal NeoplasmsAdultAgedCase-Control StudiesCD8-Positive T-LymphocytesFemaleHumansMaleMiddle AgedProgrammed Cell Death 1 ReceptorProgrammed Cell Death 1 Receptorflow cytometryimmune cell profilemachine learningnasopharyngeal carcinoma (NPC)

Identifiers

PMID38888489
PMCPMC11184936

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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.