Evidence map›Paper›PMID 42291335›Full record

ArticleTranslational lung cancer research2026

Exploring the effectiveness and sequence of brain local treatment combined with thoracic surgery in non-small cell lung cancer patients with brain oligometastasis.

Ruihe Liu, Jiayuan Tian, Shenhua Liang, Yitao Yang, Xingyu Luo, Guowei Ma

Abstract read
In one paragraph

Article in Translational lung cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ruihe Liu *The Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Jiayuan Tian *The Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Shenhua Liang *The Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Yitao YangThe Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Xingyu LuoThe Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Guowei MaThe Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Non-small cell lung cancer (NSCLC) with brain metastases represents approximately 10% of new cancer cases globally. Brain local treatments in addition to resection of the primary lung tumor has been shown to benefit patients with oligometastases. This study aimed to identify the potential beneficiaries of brain local treatment and the timing of lung and brain treatment. Methods: A total of 198 patients diagnosed with NSCLC with synchronous limited brain metastases undergoing thoracic surgery were included. Kaplan-Meier analysis and Cox regression model were used to evaluate the associations between treatments patterns and prognosis. Results: Compared to patients who did not receive brain local treatment, significantly better prognosis was observed for those who received upfront brain treatment [overall survival (OS): hazard ratio (HR); 0.52, 95% confidence interval (CI): 0.28-0.97, P=0.04; progression-free survival (PFS): HR, 0.51; 95% CI: 0.32-0.84, P=0.007] and for those who received subsequent brain treatment (OS: HR, 0.50, 95% CI: 0.31-0.82, P=0.005; PFS: HR, 0.51; 95% CI: 0.35-0.74, P<0.001). Kaplan-Meier curves indicated that there was no significant difference in OS and PFS between the upfront and subsequent brain treatment groups. However, the postoperative brain recurrence rate in upfront group was significantly lower than that in subsequent group (24.0% Conclusions: We identified that local brain treatments combined with thoracic surgery serve as a significant protective factor for the prognosis of NSCLC patients with brain oligometastasis, particularly for those with solitary metastatic lesion. In comparison to subsequent brain treatment, upfront brain treatment was associated with a lower rate of postoperative brain recurrence.

Indexed as

bifocal treatmentNon-small cell lung cancer (NSCLC)real-world studysynchronous oligometastasis

Identifiers

PMID42291335
PMCPMC13263878

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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.