ReviewCells2024
Cutting-Edge Therapies for Lung Cancer.
Review in Cells, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 24 citations in OpenAlex.
- Vasculopathy as a mechanical barrier to cancer spread: Clinical evidence and a rheology-based model in lung cancer and other solid tumors.Translational oncology · 2026Article
- Advancements in cancer biomarker discovery over fifteen years: diagnostics and prognostic approach in somatic cancer.Oncology reviews · 2026Review
- Next-generation immune cell therapies for lung cancer: advances in CAR-T, NK, and TIL strategies.Frontiers in medicine · 2026Review
- Targeting cancer metabolism through p-cresol mediated Inhibition of pyruvate dehydrogenase kinase 3 in lung cancer.Scientific reports · 2025Article
- Exploring manzamine a: a promising anti-lung cancer agent from marine spongeFrontiers in pharmacology · 2025Review
- Review
- Article
- Advances in Non-Small Cell Lung Cancer: Current Insights and Future Directions.Journal of clinical medicine · 2024Review
- Unravelling the Triad of Lung Cancer, Drug Resistance, and Metabolic Pathways.Diseases (Basel, Switzerland) · 2024Review
- Unfolded protein response complexity in gynecological tumor dynamics: therapeutic challenges and future perspectives.Cell cycle (Georgetown, Tex.)Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Lung cancer remains a formidable global health challenge that necessitates inventive strategies to improve its therapeutic outcomes. The conventional treatments, including surgery, chemotherapy, and radiation, have demonstrated limitations in achieving sustained responses. Therefore, exploring novel approaches encompasses a range of interventions that show promise in enhancing the outcomes for patients with advanced or refractory cases of lung cancer. These groundbreaking interventions can potentially overcome cancer resistance and offer personalized solutions. Despite the rapid evolution of emerging lung cancer therapies, persistent challenges such as resistance, toxicity, and patient selection underscore the need for continued development. Consequently, the landscape of lung cancer therapy is transforming with the introduction of precision medicine, immunotherapy, and innovative therapeutic modalities. Additionally, a multifaceted approach involving combination therapies integrating targeted agents, immunotherapies, or traditional cytotoxic treatments addresses the heterogeneity of lung cancer while minimizing its adverse effects. This review provides a brief overview of the latest emerging therapies that are reshaping the landscape of lung cancer treatment. As these novel treatments progress through clinical trials are integrated into standard care, the potential for more effective, targeted, and personalized lung cancer therapies comes into focus, instilling renewed hope for patients facing challenging diagnoses.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.