Cancer genomics: The driving force of cancer evolution.

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

9 citing papers in PubMed.

1. Identification of cancer mini-drivers by deciphering selective landscape in the cancer genome.Briefings in bioinformatics · 2026
   Article
2. Integrated cohort of esophageal squamous cell cancer reveals genomic features underlying clinical characteristics.Nature communications · 2022
   Article
3. Dynamic Cancer Cell Heterogeneity: Diagnostic and Therapeutic Implications.Cancers · 2022
   Review
4. ncRNAs in Therapeutics: Challenges and Limitations in Nucleic Acid-Based Drug Delivery.International journal of molecular sciences · 2021
   Review
5. Use of signals of positive and negative selection to distinguish cancer genes and passenger genes.eLife · 2021
   Article
6. Genome Instability and Long Noncoding RNA Reveal Biomarkers for Immunotherapy and Prognosis and Novel Competing Endogenous RNA Mechanism in Colon Adenocarcinoma.Frontiers in cell and developmental biology · 2021
   Article
7. Decreased Expression of NUSAP1 Predicts Poor Overall Survival in Cervical Cancer.Journal of Cancer · 2020
   Article
8. Expression, Clinical Significance, and Functional Prediction of MNX1 in Breast Cancer.Molecular therapy. Nucleic acids · 2018
   Article
9. LINC01094 Predicts Poor Prognosis in Patients With Gastric Cancer and is Correlated With EMT and Macrophage Infiltration.Technology in cancer research & treatment
   Article

Corrections and comments

• Comment on
  Comprehensive Analysis of Hypermutation in Human Cancer.2017
• Comment on
  Universal Patterns of Selection in Cancer and Somatic Tissues.2017

Authors and funding

1 author.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

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