Evidence map›Paper›PMID 39168612›Full record

ArticleJournal of clinical pathology2025

IASLC grading system predicts distant metastases for resected lung adenocarcinoma.

Yuezhu Wang, Margaret R Smith, Caroline B Dixon, Ralph D'Agostino, Yin Liu, Jimmy Ruiz, Michael D Chan, Jing Su, Kathryn F Mileham, Thomas Lycan and 6 more

Abstract read
In one paragraph

Article in Journal of clinical pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

16 authors.

Yuezhu WangDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Margaret R SmithDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Caroline B DixonDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.ORCID http://orcid.org/0009-0008-0042-6163
Ralph D'AgostinoDepartment of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Yin LiuDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Jimmy RuizDepartment of Hematology and Oncology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Michael D ChanDepartment of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Jing SuDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Kathryn F MilehamDepartment of Solid Tumor Oncology, Levine Cancer Institute, Concord, Massachusetts, USA.
Thomas LycanDepartment of Hematology and Oncology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Mary E GreenEastern Connecticut Pathology Consultants, Manchester, New Hampshire, USA.
Omer A HassanConcord, Nashville, Tennessee, USA.
Yuming JiangDepartment of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
M Khalid Khan NiaziWake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Wencheng LiDepartment of Pathology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA fxing@wakehealth.edu wenli@wakehealth.edu.
Fei XingDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA fxing@wakehealth.edu wenli@wakehealth.edu.ORCID http://orcid.org/0000-0001-6350-0764

Funding

Tumor Tissue CoreP30CA012197 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Ruben A. Mesa · 1985 to 2026
$55.4M
CTSA K12 Program at Wake ForestK12TR004931 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Nicholette D. Allred · 2024 to 2026
$2.3M
Roles of neutrophils in c-Met mediated breast cancer brain metastasesR37CA230451 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI XING, FEI · 2018 to 2022
$1.8M
NCATS NIH HHS K12 TR004931NCI NIH HHS P30 CA012197NCI NIH HHS R37 CA230451
6 · The paper itself

Abstract

aimsThe International Association for the Study of Lung Cancer (IASLC) has proposed a new histological grading system for invasive lung adenocarcinoma (LUAD). However, the efficacy of this grading system in predicting distant metastases in patients with LUAD remains unexplored. This study aims to assess the potential of the IASLC grading system in predicting the occurrence of brain and bone metastases in patients with resectable LUAD, thereby identifying individuals at high risk of post-surgery distant metastasis.

methodsWe retrospectively analysed clinical data and pathological reports of 174 patients with early-stage LUAD who underwent surgical resection between 2008 and 2015 at our cancer center. Patients were monitored for 5 years, and their bone and brain metastasis-free survival rates were determined.

results28 out of 174 patients developed distant metastases in 5 years with a median overall survival of 60 months for metastasis-free patients and 38.3 months for patients with distant metastasis. Tumour grading of all samples was evaluated by both IASLC grading and predominant pattern-based grading systems. Receiver operating characteristic (ROC) curves were used to evaluate the predictive capabilities of the IASLC grading system and tumour stage for distant metastasis. Compared with the predominant pattern-based grading system, the IASLC grading system showed a better correlation with the incidence of distant metastasis and lymphovascular invasion. ROC analyses revealed that the IASLC grading system outperformed tumour stage in predicting distant metastasis.

conclusionsOur study indicates that the IASLC grading system is capable of predicting the incidence of distant metastasis among patients with early-stage invasive LUAD.

Indexed as

Adenocarcinoma of LungBone NeoplasmsBrain NeoplasmsLung NeoplasmsNeoplasm GradingAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedNeoplasm InvasivenessNeoplasm StagingPredictive Value of TestsRetrospective StudiesLung NeoplasmsNeoplasm MetastasisPathology, Surgical

Identifiers

PMID39168612
PMCPMC11842614

What OpenQuestion holds

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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.