Evidence map›Paper›PMID 29703253›Full record

ArticleBMC cancer2018

SMAD4 and NF1 mutations as potential biomarkers for poor prognosis to cetuximab-based therapy in Chinese metastatic colorectal cancer patients.

Zhu Mei, Yang W Shao, Peinan Lin, Xiaomin Cai, Biao Wang, Yan Ding, Xiangyuan Ma, Xue Wu, Yewei Xia, Dongqin Zhu and 3 more

Abstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Colorectal Cancer: Risk Factors, Novel Approaches in Molecular Screening and Treatment.International journal of molecular and cellular medicine · 2025
    Review
  7. Review
  8. Review
  9. Review
  10. AIMedGraph: a comprehensive multi-relational knowledge graph for precision medicine.Database : the journal of biological databases and curation · 2023
    Article
  11. Observational
  12. Article
  13. Article
  14. SMAD4 contributes to chondrocyte and osteocyte development.Journal of cellular and molecular medicine · 2022
    Review
  15. Article
  16. Review
  17. Article
  18. The Journal of international medical research · 2020
    Article
  19. Inactivation ofMolecular cancer research : MCR · 2020
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Zhu MeiDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Yang W ShaoTranslational Medicine Research Institute, Geneseeq Technology Inc., Toronto, ON, Canada.
Peinan LinDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Xiaomin CaiDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Biao WangDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Yan DingTranslational Medicine Research Institute, Geneseeq Technology Inc., Toronto, ON, Canada.
Xiangyuan MaTranslational Medicine Research Institute, Geneseeq Technology Inc., Toronto, ON, Canada.
Xue WuTranslational Medicine Research Institute, Geneseeq Technology Inc., Toronto, ON, Canada.
Yewei XiaMedical Department, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China.
Dongqin ZhuMedical Department, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China.
Yongqian ShuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China. shuyongqian1999@126.com.
Zan FuDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China. fuzan1971@njmu.edu.cn.
Yanhong GuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China. guyhphd@163.com.

Funding

National Natural Science Foundation of China 81572389National Natural Science Foundation of China 91429308Science and Technology Development Foundation of Nanjing Medical University 2016NJMU064
6 · The paper itself

Abstract

backgroundCetuximab, an anti-EGFR monoclonal antibody, is used in combination with chemotherapy in clinic to enhance the outcome in metastatic colorectal cancer (mCRC) patients with only ~ 20% response rate. To date only activating mutations in KRAS and NRAS have been identified as poor prognosis biomarkers in cetuximab-based treatment, which makes an urgent need for identification of novel prognosis biomarkers to precisely predict patients' response in order to maximize the benefit.

methodsIn this study, we analysed the mutation profiles of 33 Chinese mCRC patients using comprehensive next-generation sequencing (NGS) targeting 416 cancer-relevant genes before cetuximab treatment. Upon receiving cetuximab-based therapy, patients were evaluated for drug response, and the progression-free survival (PFS) was monitored. The association of specific genetic alterations and cetuximab efficacy was analyzed.

resultsPatients carrying SMAD4 mutations (SMAD4

conclusionsOur results demonstrated that SMAD4 and NF1 mutations can serve as potential biomarkers for poor prognosis to cetuximab-based therapy in Chinese mCRC patients.

Indexed as

MutationAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsBiomarkersCetuximabColorectal NeoplasmsDNA Mutational AnalysisFemaleHumansMaleMiddle AgedNeoplasm MetastasisNeoplasm StagingNeurofibromin 1PrognosisBiomarkersCetuximabNeurofibromin 1Proto-Oncogene Proteins p21(ras)Smad4 ProteinSMAD4 protein, humanCetuximabMetastatic colorectal cancerNext-generation sequencingNF1PrognosisSMAD4

Identifiers

PMID29703253
PMCPMC5921972

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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.