ReviewCold Spring Harbor perspectives in medicine2021
Preclinical Models for the Study of Lung Cancer Pathogenesis and Therapy Development.
Review in Cold Spring Harbor perspectives in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Patient-derived three-dimensional lung tumor models to evaluate response to therapy.NPJ precision oncology · 2026Article
- Orthotopically Implanted Murine Lung Adenocarcinoma Cell Lines for Preclinical Investigations.Cancers · 2025Review
- Assessing metabolic alterations and cancer biomarkers in athymic nude mice implanted with NSCLC spheroids.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- Advanced organoid models for targeting Kras-driven lung adenocarcinoma in drug discovery and combination therapy.Journal of experimental & clinical cancer research : CR · 2025Article
- Tumor organoids may be more suitable for clinical personalized chemotherapeutic drug screening in lung adenocarcinoma.Frontiers in cell and developmental biology · 2025Article
- Nanoengineering Solutions for Cancer Therapy: Bridging the Gap between Clinical Practice and Translational Research.Journal of clinical medicine · 2024Article
- Hydrogel-Embedded Precision-Cut Lung Slices Model Lung Cancer Premalignancy Ex Vivo.Advanced healthcare materials · 2024Article
- Preclinical Modeling of Pathway-Targeted Therapy of Human Lung Cancer in the Mouse.Cold Spring Harbor perspectives in medicine · 2024Review
- Risk factors for postoperative pulmonary infections in non-small cell lung cancer: a regression-based nomogram prediction model.American journal of cancer research · 2024Article
- Paraoxonase 2 (PON2) plays a limited role in murine lung tumorigenesis.Scientific reports · 2023Article
- The state of the art for artificial intelligence in lung digital pathology.The Journal of pathology · 2022Review
- Lung Cancer Computational Biology and Resources.Cold Spring Harbor perspectives in medicine · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Experimental preclinical models have been a cornerstone of lung cancer translational research. Work in these model systems has provided insights into the biology of lung cancer subtypes and their origins, contributed to our understanding of the mechanisms that underlie tumor progression, and revealed new therapeutic vulnerabilities. Initially patient-derived lung cancer cell lines were the main preclinical models available. The landscape is very different now with numerous preclinical models for research each with unique characteristics. These include genetically engineered mouse models (GEMMs), patient-derived xenografts (PDXs) and three-dimensional culture systems ("organoid" cultures). Here we review the development and applications of these models and describe their contributions to lung cancer research.
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.