Evidence map›Paper›PMID 39147858›Full record

ArticleScientific reports2024

Homotypic cell-in-cell structure as a novel prognostic predictor in non-small cell lung cancer and frequently localized at the invasive front.

Xiaona Liu, Rui Guo, Dongxuan Li, Ya'nan Wang, Jingya Ning, Shuanying Yang, Jun Yang

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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3 · Its place in the literature

Who cites it

8 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

7 authors.

Xiaona LiuDepartment of Pathology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, ShaanXi, China.
Rui GuoDepartment of Pathology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, ShaanXi, China.
Dongxuan LiDepartment of Pathology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, ShaanXi, China.
Ya'nan WangDepartment of Pathology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, ShaanXi, China.
Jingya NingDepartment of Respiratory Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, ShaanXi, China.
Shuanying YangDepartment of Respiratory Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, ShaanXi, China. yangshuanying@xjtu.edu.cn.
Jun YangDepartment of Pathology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, ShaanXi, China. yangjundr@163.com.

Funding

National Natural Science Foundation of China 82102726
6 · The paper itself

Abstract

Homotypic cell-in-cell structures (hoCICs) are associated with tumor proliferation, invasion, and metastasis and is considered a promising prognostic marker in various cancers. However, the role of hoCICs in non-small cell lung cancer (NSCLC) remains unclear. Tumor tissue sections were obtained from 411 NSCLC patients. We analyzed the relationship between clinicopathological variables and the number of hoCICs. LASSO and multivariate Cox regression analysis were employed to identify prognostic factors for NSCLC. The impact of hoCICs on overall survival (OS) and disease-free survival (DFS) was assessed using the Kaplan-Meier curves and log-rank test. Prognostic models for OS and DFS were developed and validated using the C-index, time-dependent area under the curve (AUC), net reclassification improvement (NRI), integrated discrimination improvement (IDI), calibration curves and decision curve analysis (DCA). Among the cohort, 56% of patients had hoCICs while 44% did not. Notably, hoCICs were primarily found at the tumor invasion front. Male gender, smoking, squamous cell carcinoma, low differentiation, tumor size ≥ 3 cm, advanced TNM stage, lymph node metastasis, pleural invasion, vascular invasion, necrosis, P53 mutation, and high expression of Ki-67 were identified as relative risk factors for hoCICs. Furthermore, hoCICs was found to be a significant prognostic factor for both OS and DFS, with higher frequencies of hoCICs correlating with poorer outcomes. We constructed nomograms for predicting 1-, 3-, and 5-year OS and DFS based on hoCICs, and the calibration curves showed good agreement between the predicted and actual outcomes. The results of the C-index, time-dependent AUC, NRI, IDI, and DCA analyses demonstrated that incorporating hoCICs into the prognostic model significantly enhanced its predictive power and clinical applicability. HoCICs indicated independent perdictive value for OS and DFS in patients with NSCLC. Furthermore, the frequent localization of hoCICs at the tumor invasion front suggested a strong association between hoCICs and tumor invasion as well as metastasis.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsNeoplasm InvasivenessAdultAgedBiomarkers, TumorDisease-Free SurvivalFemaleHumansKaplan-Meier EstimateMaleMiddle AgedNeoplasm StagingPrognosisBiomarkers, TumorDisease-free survivalHomotypic cell-in-cell structureInvasive frontNon-small cell lung cancerOverall survivalPrognostic factor

Identifiers

PMID39147858
PMCPMC11327305

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