Evidence map›Paper›PMID 38454386›Full record

ArticleBMC cancer2024

Exploration of the relationship between tumor-infiltrating lymphocyte score and histological grade in breast cancer.

Deyong Kang, Chuan Wang, Zhonghua Han, Liqin Zheng, Wenhui Guo, Fangmeng Fu, Lida Qiu, Xiahui Han, Jiajia He, Lianhuang Li and 1 more

Open access · goldAbstract readClinical StudyValidation Study
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Review
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

11 authors at 5 institutions in 1 country.

Deyong Kang *Department of Pathology, Fujian Medical University Union Hospital, 350001, Fuzhou, P. R. China.
Chuan Wang *Breast Surgery Ward, Department of General Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, P. R. China.
Zhonghua Han *Breast Surgery Ward, Department of General Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, P. R. China.
Liqin ZhengKey Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, 350007, Fuzhou, P. R. China.
Wenhui GuoBreast Surgery Ward, Department of General Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, P. R. China.
Fangmeng FuBreast Surgery Ward, Department of General Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, P. R. China.
Lida QiuCollege of Physics and Electronic Information Engineering, Minjiang University, 350108, Fuzhou, P. R. China.
Xiahui HanKey Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, 350007, Fuzhou, P. R. China.
Jiajia HeSchool of Science, Jimei University, 361021, Xiamen, P. R. China. hejiajia@jmu.edu.cn.
Lianhuang LiKey Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, 350007, Fuzhou, P. R. China. lhli@fjnu.edu.cn.
Jianxin ChenKey Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, 350007, Fuzhou, P. R. China. chenjianxin@fjnu.edu.cn.
Fujian Normal University · CNUnion Hospital · CNFujian Medical University · CNJimei University · CNMinjiang University · CN

Funding

National Natural Science Foundation of China 82171991Natural Science Foundation of Fujian Province 2020J011008Natural Science Foundation of Fujian Province 2020J01154Natural Science Foundation of Fujian Province 2022J01170Natural Science Foundation of Fujian Province 2023J01082Natural Science Foundation of Fujian Province 2023J011125
6 · The paper itself

Abstract

backgroundThe histological grade is an important factor in the prognosis of invasive breast cancer and is vital to accurately identify the histological grade and reclassify of Grade2 status in breast cancer patients.

methodsIn this study, data were collected from 556 invasive breast cancer patients, and then randomly divided into training cohort (n = 335) and validation cohort (n = 221). All patients were divided into actual low risk group (Grade1) and high risk group (Grade2/3) based on traditional histological grade, and tumor-infiltrating lymphocyte score (TILs-score) obtained from multiphoton images, and the TILs assessment method proposed by International Immuno-Oncology Biomarker Working Group (TILs-WG) were also used to differentiate between high risk group and low risk group of histological grade in patients with invasive breast cancer. Furthermore, TILs-score was used to reclassify Grade2 (G2) into G2 /Low risk and G2/High risk. The coefficients for each TILs in the training cohort were retrieved using ridge regression and TILs-score was created based on the coefficients of the three kinds of TILs.

resultsStatistical analysis shows that TILs-score is significantly correlated with histological grade, and is an independent predictor of histological grade (odds ratio [OR], 2.548; 95%CI, 1.648-3.941; P < 0.0001), but TILs-WG is not an independent predictive factor for grade (P > 0.05 in the univariate analysis). Moreover, the risk of G2/High risk group is higher than that of G2/Low risk group, and the survival rate of patients with G2/Low risk is similar to that of Grade1, while the survival rate of patients with G2/High risk is even worse than that of patients with G3.

conclusionOur results suggest that TILs-score can be used to predict the histological grade of breast cancer and potentially to guide the therapeutic management of breast cancer patients.

Indexed as

Breast NeoplasmsFemaleHumansLymphocytes, Tumor-InfiltratingPrognosisRandom AllocationHistological gradeMultiphoton microscopyTumor-infiltrating lymphocyte score

Identifiers

PMID38454386
PMCPMC10921807
OpenAlexW4392549870

What OpenQuestion holds

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LicenceCC BY
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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.