Evidence map›Paper›PMID 40529775›Full record

ArticleJournal of thoracic disease2025

The relationship between blood biomarkers and prognosis of pathologic stage IA pure-solid non-small cell lung cancer patients.

Jianlong Bu, Pinyi Zhang, Pengju Li, Yubo Yan, Mengfeng Liu, Xiaoqi Wu, Junfeng Wang, Changfa Qu

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Association between the systemic inflammation response index and prognosis in lung cancer: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Pooled it
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

8 authors.

Jianlong BuDepartment of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Pinyi ZhangDepartment of Anesthesiology, Harbin Medical University Cancer Hospital, Harbin, China.
Pengju LiDepartment of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Yubo YanDepartment of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Mengfeng LiuDepartment of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Xiaoqi WuDepartment of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Junfeng WangDepartment of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Changfa QuDepartment of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: For patients with clinical stage IA (cIA) non-small cell lung cancer (NSCLC) who received the standard treatment of lobectomy combined with systematic lymph node dissection, some still might experience postoperative recurrence or metastasis. Previous studies have shown that lung cancer patients whose tumors appear as solid nodules on imaging have a higher recurrence rate compared to those with ground glass nodules. Thus, it would be recommended for postoperatively upstaged patients to receive additional adjuvant therapy. So far, there have not been reliable biomarkers to distinguish the subgroup of NSCLC patients with a higher risk of recurrence within the pathologic stage IA (pIA). Therefore, we aimed to investigate the prognostic role of preoperative blood biomarkers in patients with pIA pure-solid NSCLC undergoing surgery. Methods: We retrospectively reviewed clinical data of pIA NSCLC patients who underwent radical surgery between 2014 and 2016. For subgroup comparisons, we also collected information from NSCLC patients with pathological stage T1N1-2M0 (pT1N1-2M0) during the same period. The optimal cut-off value of biomarkers was determined by receiver operating characteristic (ROC) analysis. The Kaplan-Meier method, univariate and multivariate Cox regression analyses were used to analyze the predictors for disease-free survival (DFS) and overall survival (OS). Results: A total of 255 NSCLC patients were enrolled in this study, with 205 stage pIA and 50 stage pT1N1-2M0 NSCLC patients. The independent predictors of DFS in pIA NSCLC patients were neutrophil to lymphocyte ratio (NLR) [P=0.005, hazard ratio (HR) =3.869, 95% confidence interval (CI): 1.499-9.986] and serum carcinoembryonic antigen (CEA) (P=0.007, HR =2.506, 95% CI: 1.281-4.901). The independent predictors of OS in pIA NSCLC patients were systemic inflammatory response index (SIRI) (P=0.03, HR =2.501, 95% CI: 1.110-5.636), CEA (P=0.002, HR =3.691, 95% CI: 1.646-8.280) and serum squamous cell carcinoma antigen (SCCA) (P=0.004, HR =4.323, 95% CI: 1.606-11.640). The NSCLC patients with SIRI >0.981 group and CEA >3.78 ng/mL group were similar to those in pN1 group in 3-year OS rates (89.7%, 94.0% Conclusions: For patients with pIA pure-solid NSCLC, preoperative biomarkers SIRI, NLR, CEA, and SCCA may serve as predictors for postoperative survival.

Indexed as

biomarkersdisease-free survival (DFS)overall survival (OS)Pathologic stage IA non-small cell lung cancer (pIA NSCLC)

Identifiers

PMID40529775
PMCPMC12170035

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.