ReviewJournal of thoracic disease2013
An emerging place for lung cancer genomics in 2013.
Review in Journal of thoracic disease, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed, 31 citations in OpenAlex.
- Diagnostic value of glypican-1; a new marker differentiating pulmonary squamous cell carcinoma from adenocarcinoma: immunohistochemical study on Egyptian series.Clinical and experimental medicine · 2025Article
- Recent advances in non-small cell lung cancer targeted therapy; an update review.Cancer cell international · 2023Review
- Prognostic biomarkers and immune cell infiltration characteristics in small cell lung cancer.Cancer pathogenesis and therapy · 2023Article
- Deep learning based automated epidermal growth factor receptor and anaplastic lymphoma kinase status prediction of brain metastasis in non-small cell lung cancer.Exploration of targeted anti-tumor therapy · 2023Article
- Cell Trajectory-Related Genes of Lung Adenocarcinoma Predict Tumor Immune Microenvironment and Prognosis of Patients.Frontiers in oncology · 2022Article
- A population-based study of outcomes in patients with surgically resected non-small cell lung cancer with anaplastic lymphoma kinase-rearranged mutations: A matched-pair study.Molecular and clinical oncology · 2021Article
- Genetic Markers in Lung Cancer Diagnosis: A Review.International journal of molecular sciences · 2020Review
- MicroRNA-152 suppresses cisplatin resistance in A549 cells.Oncology letters · 2019Article
- Comparison of clinical characteristics and overall survival between spirometrically diagnosed chronic obstructive pulmonary disease (COPD) and non-COPD never-smoking stage I-IV non-small cell lung cancer patients.International journal of chronic obstructive pulmonary disease · 2019Article
- Current status of research and treatment for non-small cell lung cancer in never-smoking females.Cancer biology & therapy · 2017Review
- Antitumor activity of high-dose pulsatile gefitinib in non-small-cell lung cancer with acquired resistance to epidermal growth factor receptor tyrosine kinase inhibitors.Experimental and therapeutic medicine · 2017Article
- Recent Spatiotemporal Patterns of US Lung Cancer by Histologic Type.Frontiers in public health · 2017Article
- Genomic characterization of esophageal squamous cell carcinoma: Insights from next-generation sequencing.World journal of gastroenterology · 2016Review
- MiR-133a is downregulated in non-small cell lung cancer: a study of clinical significance.European journal of medical research · 2015Article
- Targeted therapy for non-small cell lung cancer: current standards and the promise of the future.Translational lung cancer research · 2015Review
- MiR-145 acts as a metastasis suppressor by targeting metadherin in lung cancer.Medical oncology (Northwood, London, England) · 2015Article
- US lung cancer trends by histologic type.Cancer · 2014Article
- MiR-152 suppresses the proliferation and invasion of NSCLC cells by inhibiting FGF2.Experimental & molecular medicine · 2014Article
- Unraveling tumor grading and genomic landscape in lung neuroendocrine tumors.Endocrine pathology · 2014Review
- Tumor heterogeneity and resistance to EGFR-targeted therapy in advanced nonsmall cell lung cancer: challenges and perspectives.OncoTargets and therapy · 2014Review
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung cancer is a disease with a dismal prognosis and is the biggest cause of cancer deaths in many countries. Nonetheless, rapid technological developments in genome science promise more effective prevention and treatment strategies. Since the Human Genome Project, scientific advances have revolutionized the diagnosis and treatment of human cancers, including thoracic cancers. The latest, massively parallel, next generation sequencing (NGS) technologies offer much greater sequencing capacity than traditional, capillary-based Sanger sequencing. These modern but costly technologies have been applied to whole genome-, and whole exome sequencing (WGS and WES) for the discovery of mutations and polymorphisms, transcriptome sequencing for quantification of gene expression, small ribonucleic acid (RNA) sequencing for microRNA profiling, large scale analysis of deoxyribonucleic acid (DNA) methylation and chromatin immunoprecipitation mapping of DNA-protein interaction. With the rise of personalized cancer care, based on the premise of precision medicine, sequencing technologies are constantly changing. To date, the genomic landscape of lung cancer has been captured in several WGS projects. Such work has not only contributed to our understanding of cancer biology, but has also provided impetus for technical advances that may improve our ability to accurately capture the cancer genome. Issues such as short read lengths contribute to sequenced libraries that contain challenging gaps in the aligned genome. Emerging platforms promise longer reads as well as the ability to capture a range of epigenomic signals. In addition, ongoing optimization of bioinformatics strategies for data analysis and interpretation are critical, especially for the differentiation between driver and passenger mutations. Moreover, broader deployment of these and future generations of platforms, coupled with an increasing bioinformatics workforce with access to highly sophisticated technologies, could see many of these discoveries translated to the clinic at a rapid pace. We look forward to these advances making a difference for the many patients we treat in the Asia-Pacific region and around the world.
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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.