ReviewExperimental hematology & oncology2025
Immunotherapy for small cell lung cancer: current challenges and prospects.
Review in Experimental hematology & oncology, 2025. 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.
- Curcumol Inhibits the Laminin-Facilitated Malignant Progression in Small-Cell Lung Cancer via Disrupting Laminin-Integrin β1 Interaction.Phytotherapy research : PTR · 2026Article
- mRNA-based therapeutics in lung Cancer: Mechanisms, applications, and translational challenges.Journal, genetic engineering & biotechnology · 2026Review
- NCAPG reprograms glycolytic and lipid metabolism by sustaining glycerophospholipid flux in small-cell lung cancer.Molecular and cellular biochemistry · 2026Article
- Regulatory B-cell states in NSCLC immunotherapy resistance: mechanisms, spatial context and translational implications.Cancer immunology, immunotherapy : CII · 2026Review
- Radiotherapy synergizes with CD24 blockade to initiate macrophage-driven systemic antitumor immunity in non-small cell lung cancer.Experimental hematology & oncology · 2026Article
- Real-world evidence on the efficacy, safety, and biomarkers of immunotherapy combined with radiotherapy in limited-stage small cell lung cancer.Journal of thoracic disease · 2026Article
- Real-world treatment patterns and outcomes for patients with extensive-stage small-cell lung cancer treated in US community oncology practices.Frontiers in oncology · 2026Article
- T-cell redirecting therapies in lung cancer - a comprehensive analysis of clinical trials.Frontiers in immunology · 2026Review
- The application and challenges of immune checkpoint inhibitors in lung cancer therapy.Frontiers in immunology · 2026Review
- The challenge of cytotoxic T cell responses in carcinoma with a focus on lung carcinoma.Frontiers in oncology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Small cell lung cancer (SCLC) is a highly aggressive neuroendocrine malignancy with limited treatment options. While immunotherapy has revolutionized SCLC therapy and now serves as a front-line treatment, the disease continues to present significant clinical challenges. Despite therapeutic advances in lung cancer over the past decade, most SCLC tumors eventually reoccur. Growing insights into the tumor-immune microenvironment (TIME) highlights its critical role in SCLC progression and therapeutic resistance. In this review, we summarize distinctive features of the TIME in SCLC and evaluate current immunotherapeutic strategies, notably immune checkpoint inhibitors (ICIs), that have demonstrated survival benefits in a subset of patients. Furthermore, we explore emerging immunotherapeutic approaches and novel targets in SCLC, emphasizing the challenges limiting the successful application of immunotherapy in this disease.
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.