Evidence map›Paper›PMID 29854709›Full record

ArticleAnnals of surgical treatment and research2018

Diagnostic value of peripheral blood immune profiling in colorectal cancer.

Joungbum Choi, Hyung Gun Maeng, Su Jin Lee, Young Joo Kim, Da Woon Kim, Ha Na Lee, Ji Hyeon Namgung, Hyun-Mee Oh, Tae Joo Kim, Ji Eun Jeong and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Annals of surgical treatment and research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 12% of its field
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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
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  14. Advanced lung cancer inflammation index and its prognostic value in HPV-negative head and neck squamous cell carcinoma: a multicentre study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
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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

15 authors at 1 institution in 1 country.

Joungbum ChoiImmunology Laboratory, Seoul Song Do Colorectal Hospital, Seoul, Korea.
Hyung Gun MaengImmunology Laboratory, Seoul Song Do Colorectal Hospital, Seoul, Korea.
Su Jin LeeImmunology Laboratory, Seoul Song Do Colorectal Hospital, Seoul, Korea.
Young Joo KimImmunology Laboratory, Seoul Song Do Colorectal Hospital, Seoul, Korea.
Da Woon KimImmunology Laboratory, Seoul Song Do Colorectal Hospital, Seoul, Korea.
Ha Na LeeImmunology Laboratory, Seoul Song Do Colorectal Hospital, Seoul, Korea.
Ji Hyeon NamgungImmunology Laboratory, Seoul Song Do Colorectal Hospital, Seoul, Korea.
Hyun-Mee OhImmunology Laboratory, Seoul Song Do Colorectal Hospital, Seoul, Korea.
Tae Joo KimImmunology Laboratory, Seoul Song Do Colorectal Hospital, Seoul, Korea.
Ji Eun JeongCancer Immune Clinic, Seoul Song Do Colorectal Hospital, Seoul, Korea.
Sang Jean ParkCancer Immune Clinic, Seoul Song Do Colorectal Hospital, Seoul, Korea.
Yong Man ChoiCancer Immune Clinic, Seoul Song Do Colorectal Hospital, Seoul, Korea.
Yong Won KangDepartment of Surgical Oncology, Seoul Song Do Colorectal Hospital, Seoul, Korea.
Seo Gue YoonDepartment of Surgical Oncology, Seoul Song Do Colorectal Hospital, Seoul, Korea.
Jong Kyun LeeImmunology Laboratory, Seoul Song Do Colorectal Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-1298-0494
Songdo Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLittle is known about the clinical value of peripheral blood immune profiling. Here, we aimed to identify colorectal cancer (CRC)-related peripheral blood immune cells and develop liquid biopsy-based immune profiling models for CRC diagnosis.

methodsPeripheral blood from 131 preoperative patients with CRC and 174 healthy controls was analyzed by flow cytometry and automated hematology. CRC-related immune factors were identified by comparing the mean values of immune cell percentages and counts. Subsequently, CRC diagnostic algorithms were constructed using binary logistic regression.

resultsSignificant differences were observed in percentages and counts of white blood cells, lymphocytes, neutrophils, regulatory T cells, and myeloid-derived suppressor cells (MDSCs) of patients and controls. The neutrophil/lymphocyte and Th1/Th2 ratios were also significantly different. Likewise, the percentages and counts of peripheral blood programed death 1, cytotoxic T lymphocyte antigen 4, B-and T-lymphocyte attenuator, and lymphocyte activation gene-3 were higher in patients with CRC. The binary logistic regression model included 12 variables, age, CD3

conclusionPeripheral blood immune profiling may be valuable in evaluating the immunity of CRC patients. Our liquid biopsy-based immune diagnostic method and its algorithms may serve as a novel tool for CRC diagnosis. Future largescale studies are needed for better characterization of its diagnostic value and potential for clinical application.

Indexed as

Blood cellsColorectal neoplasmsEarly diagnosis of cancerFlow cytometry

Identifiers

PMID29854709
PMCPMC5976572
OpenAlexW2807273450

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

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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.