Progression and Metastasis of Lung Cancer: Clinical Features, Molecular Mechanisms, and Clinical Managements.
Lung cancer remains a leading cause of cancer-related mortality worldwide, with metastasis leading to a poor prognosis.
- 연구 설계 systematic review
APA
Zhang Y, Chen M, et al. (2025). Progression and Metastasis of Lung Cancer: Clinical Features, Molecular Mechanisms, and Clinical Managements.. MedComm, 6(12), e70477. https://doi.org/10.1002/mco2.70477
MLA
Zhang Y, et al.. "Progression and Metastasis of Lung Cancer: Clinical Features, Molecular Mechanisms, and Clinical Managements.." MedComm, vol. 6, no. 12, 2025, pp. e70477.
PMID
41245887
Abstract
Lung cancer remains a leading cause of cancer-related mortality worldwide, with metastasis leading to a poor prognosis. While advances in primary tumor management have improved survival, disease dissemination to distant organs, particularly the liver, bone, and brain, represents an unresolved therapeutic challenge. Metastasis is governed by complex interactions between tumor cells and the microenvironment, including immune evasion, angiogenesis, and organotropism. Current therapies often fail to address site-specific molecular vulnerabilities or overcome physiological barriers such as the blood-brain barrier (BBB). A systematic review integrating clinical and mechanistic insights is urgently needed to guide translational efforts. This review synthesizes evidence on lung cancer metastases to three critical sites: liver metastases, where immunosuppressive niches and delayed diagnosis limit outcomes, and we emphasize the role of immune checkpoint inhibitors and liquid biopsies; bone metastases, characterized by osteolytic/osteoblastic lesions, which require biomarker-driven therapies and multimodal pain management; and brain metastases, where BBB penetration and heterogeneity demand tailored approaches. By dissecting organ-specific mechanisms, including circulating tumor cells, premetastatic niche formation, and metabolic reprogramming, this work highlights actionable targets for precision medicine. This review advocates for patient stratification and combination therapies to improve survival, offering a roadmap for future research on metastatic lung cancer.
같은 제1저자의 인용 많은 논문 (5)
- Comment on: "Interpretable machine learning model for predicting early recurrence of pancreatic cancer: integrating intratumoral and peritumoral radiomics with body composition".
- Blocking SHP2 benefits FGFR2 inhibitor and overcomes its resistance in -amplified gastric cancer.
- Impact of contrast-enhanced computed tomography surveillance frequency on survival outcomes in patients with stage I-III colorectal cancer: A propensity score-matched retrospective cohort study.
- Corrigendum to "TMEM176A drives anti-apoptotic signaling through TGM2-mediated ERK activation in gastric cancer" [Int. Immunopharmacol. 168 (2026) 115798].
- Dietary restriction genes as modulators of breast cancer risk through metabolic pathways.