Evidence map›Paper›PMID 35832449›Full record

ArticleTranslational lung cancer research2022

Re-evaluating the need for mediastinal lymph node dissection and exploring lncRNAs as biomarkers of N2 metastasis in T1 lung adenocarcinoma.

Xuefeng Hao, Weiying Li, Wei Li, Meng Gu, Ziyu Wang, Kenta Nakahashi, Mara B Antonoff, Hiroyuki Adachi, Shijie Zhou, Shaofa Xu

Open access · diamondAbstract read
In one paragraph

Article in Translational lung cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

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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

11 citing papers in PubMed, 13 citations in OpenAlex.

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  8. Construction of prognostic risk model of bladder cancer based on cuproptosis-related long non-coding RNAs.Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2023
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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

10 authors at 5 institutions in 3 countries.

Xuefeng HaoDepartment of Cancer Research Center, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
Weiying LiDepartment of Cancer Research Center, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
Wei LiDepartment of Cancer Research Center, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
Meng GuDepartment of Cancer Research Center, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
Ziyu WangDepartment of Cancer Research Center, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
Kenta NakahashiDepartment of Thoracic Surgery, Yamagata Prefectural Central Hospital, Yamagata, Japan.
Mara B AntonoffThoracic & Cardiovascular Surgery, UT MD Anderson Cancer Center, Houston, TX, USA.
Hiroyuki AdachiDepartment of Thoracic Surgery, Kanagawa Cancer Center, Yokohama, Japan.
Shijie ZhouDepartment of Thoracic Surgery, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
Shaofa XuDepartment of Cancer Research Center, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
Capital Medical University · CNBeijing Chest Hospital · CNKanagawa Cancer CenterThe University of Texas MD Anderson Cancer Center · USYamagata Prefectural Central Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although a well-acknowledged component of curative surgery for lung cancer, investigators have recently questioned the need for mediastinal lymph node dissection (MLND) in early-stage lung cancer cases. As such, the accurate prediction of N2 stage prior to surgery has become increasingly critical. But diagnostic biomarkers predicting N2 metastases are deficient, which are urgently needed. Methods: We extracted the data of non-small cell lung cancer (NSCLC) patients whose clinical information and follow-up data are complete and without preoperative induction therapy from the Surveillance, Epidemiology, and End Results (SEER) database. The SEER program registries routinely collect demographic and clinic data on patients. And the prognostic differences were analyzed according to the presence or absence of MLND in their lung resection using the R package. Subsequently, the correlations between pN2 metastasis and clinical characteristics were analyzed. In parallel, the long non-coding RNAs (lncRNAs) associated with pN2 status were screened in The Cancer Genome Atlas (TCGA) database by expression difference analysis between pN0-N1 and pN2 patients using limma. Their diagnostic efficiency for detecting N2 metastases was evaluated using receiver operating characteristic (ROC) curves, and a combined diagnostic model was constructed using logistic regression and ROC curve analyses in lung adenocarcinoma (LUAD). Results: There were 16,772 patients in MLND group, and 2,699 cases in no-MLND group. The clinical data from SEER showed that the incidence of N2 metastasis was low in pT1 NSCLC (1,023/16,772, 6.10%), but the prognosis of no-MLND patients was poorer than those who underwent MLND (P<0.001, HR =1.605). Pathological N2 metastasis was correlated with age, histologic type, and tumor size. On the other hand, five lncRNAs (LINC00892, AC099522.2, LINC01481, SCAMP1-AS1, and AC004812.2) were screened and confirmed as potential diagnostic biomarkers for detecting N2 metastasis in pT1 LUAD. The AUC of the combined indicators was 0.857. Conclusions: MLND may be oncologically necessary for selected T1 NSCLC patients based on the metastasis incidence and prognosis. A diagnostic model combining LINC00892, AC099522.2, LINC01481, SCAMP1-AS1, and AC004812.2 expression levels may have the potential to be a diagnostic biomarker for detecting N2 metastasis in pT1 LUAD. This study suggests that MLND might be omitted in patients with lower expression level of this diagnostic model.

Indexed as

diagnostic biomarkerlong non-coding RNA (lncRNA)Lung cancerlymph node

Identifiers

PMID35832449
PMCPMC9271436
OpenAlexW4285503089

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.