Evidence map›Paper›PMID 29707525›Full record

ArticleCanadian journal of gastroenterology & hepatology2018

RAS/BRAF Circulating Tumor DNA Mutations as a Predictor of Response to First-Line Chemotherapy in Metastatic Colorectal Cancer Patients.

Jiannan Yao, Wanchun Zang, Yang Ge, Nathaniel Weygant, Pan Yu, Lei Li, Guanhua Rao, Zhi Jiang, Rui Yan, Linjia He and 4 more

Open access · goldAbstract read
In one paragraph

Article in Canadian journal of gastroenterology & hepatology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 18% of its field
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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Preliminary Study on the Relationship ofInternational journal of general medicine · 2021
    Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Article
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

14 authors at 3 institutions in 2 countries.

Jiannan YaoDepartment of Oncology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-4982-4460
Wanchun ZangBeijing Novogene Bioinformatics Technology Co., Ltd., Beijing, China.
Yang GeDepartment of Oncology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Nathaniel WeygantDepartment of Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Pan YuBeijing Novogene Bioinformatics Technology Co., Ltd., Beijing, China.
Lei LiBeijing Novogene Bioinformatics Technology Co., Ltd., Beijing, China.
Guanhua RaoBeijing Novogene Bioinformatics Technology Co., Ltd., Beijing, China.
Zhi JiangBeijing Novogene Bioinformatics Technology Co., Ltd., Beijing, China.
Rui YanDepartment of Oncology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Linjia HeDepartment of Oncology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Yang YuBeijing Novogene Bioinformatics Technology Co., Ltd., Beijing, China.
Mulan JinDepartment of Pathology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-6043-5020
Gang ChengBeijing Novogene Bioinformatics Technology Co., Ltd., Beijing, China.ORCID 0000-0002-9165-6181
Guangyu AnDepartment of Oncology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-1597-5188
Novogene Bioinformatics Institute · CNCapital Medical University · CNUniversity of Oklahoma Health Sciences Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Since circulating tumor DNA (ctDNA) offers clear advantages as a minimally invasive method for tumor monitoring compared with tumor tissue, we aimed to evaluate genotyping ctDNA using a next-generation sequencing- (NGS-) based panel to identify the prognostic value of mutation status in metastatic colorectal cancer (mCRC) patients with primary tumor resected and with subsequent lines of treatment in this study. Methods: 76 mCRC patients treated in Beijing Chao-Yang Hospital from 2011 to 2017 were enrolled. Genotyping of RAS/BRAF in tumor tissue and ctDNA was determined by ARMS PCR and with a 40-gene panel using NGS, respectively. Patient clinicopathologic features and RAS/BRAF gene mutation status were evaluated by survival analysis for disease-free survival (DFS) and progression-free survival (PFS). Results: Among 76 patients, KRAS distributions were not significantly correlated with any clinicopathologic features. The concordance between tumor tissue and ctDNA KRAS mutation was 81.25%. Mutations of RAS/BRAF had no significant impact on DFS after surgery (hazard ratio (HR), 1.205; 95% CI, 0.618 to 2.349; Conclusion: ctDNA was comparable with tumor tissue for mutation detection. RAS/BRAF mutations detected in ctDNA predict a worse PFS in mCRC patients with first-line chemotherapy. Our results provide support for the prognostic value of RAS/BRAF ctDNA mutation detection in mCRC patients.

Indexed as

AdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorChinaCirculating Tumor DNACohort StudiesColorectal NeoplasmsDisease-Free SurvivalFemaleHumansKaplan-Meier EstimateMaleMiddle AgedMolecular Targeted TherapyBiomarkers, TumorBRAF protein, humanCirculating Tumor DNAKRAS protein, humanProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)

Identifiers

PMID29707525
PMCPMC5863340
OpenAlexW2791121893

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.