Evidence map›Paper›PMID 39726034›Full record

ArticleBiomarker research2024

Immunophenotypic analysis on circulating T cells for early diagnosis of lung cancer.

Sung-Woo Lee, Young Ju Kim, Kyung Na Rho, Saei Jeong, Jeong Eun Noh, Hee-Ok Kim, Hyun-Ju Cho, Ju Sik Yun, In-Jae Oh, Jae-Ho Cho

Abstract readLetter
In one paragraph

Article in Biomarker research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Sung-Woo LeeDepartment of Microbiology and Immunology, Chonnam National University Medical School, Hwasunup, Jeollanamdo, 58128, Republic of Korea. swl526@jnu.ac.kr.
Young Ju KimDepartment of Microbiology and Immunology, Chonnam National University Medical School, Hwasunup, Jeollanamdo, 58128, Republic of Korea.
Kyung Na RhoDepartment of Microbiology and Immunology, Chonnam National University Medical School, Hwasunup, Jeollanamdo, 58128, Republic of Korea.
Saei JeongDepartment of Microbiology and Immunology, Chonnam National University Medical School, Hwasunup, Jeollanamdo, 58128, Republic of Korea.
Jeong Eun NohDepartment of Microbiology and Immunology, Chonnam National University Medical School, Hwasunup, Jeollanamdo, 58128, Republic of Korea.
Hee-Ok KimSelecxine Inc, Seoul, Republic of Korea.
Hyun-Ju ChoDepartment of Internal Medicine, Chonnam National University Medical School, Hwasun Hospital, Hwasunup, Jeollanamdo, 58128, Republic of Korea.
Ju Sik YunDepartment of Thoracic and Cardiovascular Surgery, Chonnam National University Medical School, Hwasun Hospital, Hwasunup, Jeollanamdo, Republic of Korea.
In-Jae OhDepartment of Internal Medicine, Chonnam National University Medical School, Hwasun Hospital, Hwasunup, Jeollanamdo, 58128, Republic of Korea. droij@jnu.ac.kr.
Jae-Ho ChoDepartment of Microbiology and Immunology, Chonnam National University Medical School, Hwasunup, Jeollanamdo, 58128, Republic of Korea. jh_cho@jnu.ac.kr.

Funding

National Research Foundation of Korea 2020M3A9G3080330National Research Foundation of Korea 2020R1A5A2031185National Research Foundation of Korea 2022R1A6A3A01086438
6 · The paper itself

Abstract

The immune system continuously interacts with tumors, possibly leading to systemic alterations in circulating immune cells. However, the potential of these cancer-associated changes for diagnostic purposes remains poorly explored. To investigate this, we conducted a comprehensive flow cytometric analysis of 452 peripheral blood mononuclear cell (PBMC) samples from 206 non-small-cell lung cancer (NSCLC) patients, 100 small-cell lung cancer (SCLC) patients, 94 healthy individuals, and 52 benign lung disease (BLD) patients. We focused specifically on circulating T cells, given their close interaction with tumors, and initially assessed 93 T-cell features from the flow cytometric analysis. Using a feature selection protocol, we identified five T-cell features in peripheral blood with strong diagnostic relevance. Notably, while individual alterations in these features lacked cancer specificity, simultaneous alterations were uniquely indicative of lung cancer. To comprehensively analyze these features, we developed a scoring model, "IMmunoPhenotypic Analysis for Cancer deTection (IMPACT)." Comprehensive analysis using the five features (IMPACT-5) demonstrated high cancer specificity and biomarker efficacy, as evidenced by the high area under the receiver operating characteristic curve values for lung cancer patients (0.9187, 0.9277, and 0.9363 for stage I NSCLC, stage IV NSCLC, and SCLC patients, respectively), in stark contrast to BLD patients (0.5212). These findings suggest that comprehensive analysis of cancer-associated changes in circulating T cells can effectively detect lung cancer from its early stages, proposing immunophenotypic analysis of circulating T cells as an innovative liquid biopsy-based diagnostic biomarker.

Indexed as

DiagnosisImmunophenotypingLiquid biopsyLung cancer

Identifiers

PMID39726034
PMCPMC11674110

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.