Evidence map›Paper›PMID 35280779›Full record

ArticleFrontiers in oncology2022

Longitudinal Circulating Tumor DNA Profiling in Metastatic Colorectal Cancer During Anti-EGFR Therapy.

Wentao Yang, Jianling Zou, Ye Li, Rujiao Liu, Zhengqing Yan, Shiqing Chen, Xiaoying Zhao, Weijian Guo, Mingzhu Huang, Wenhua Li and 2 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Circulating Tumor DNA to Drive Treatment in Metastatic Colorectal Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Review
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Wentao YangDepartment of Gastrointestinal Medical Oncology Fudan University Shanghai Cancer Center, Shanghai, China.
Jianling ZouDepartment of Gastrointestinal Medical Oncology Fudan University Shanghai Cancer Center, Shanghai, China.
Ye LiDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Rujiao LiuDepartment of Gastrointestinal Medical Oncology Fudan University Shanghai Cancer Center, Shanghai, China.
Zhengqing YanThe Medical Department, 3D Medicines Inc., Shanghai, China.
Shiqing ChenThe Medical Department, 3D Medicines Inc., Shanghai, China.
Xiaoying ZhaoDepartment of Gastrointestinal Medical Oncology Fudan University Shanghai Cancer Center, Shanghai, China.
Weijian GuoDepartment of Gastrointestinal Medical Oncology Fudan University Shanghai Cancer Center, Shanghai, China.
Mingzhu HuangDepartment of Gastrointestinal Medical Oncology Fudan University Shanghai Cancer Center, Shanghai, China.
Wenhua LiDepartment of Gastrointestinal Medical Oncology Fudan University Shanghai Cancer Center, Shanghai, China.
Xiaodong ZhuDepartment of Gastrointestinal Medical Oncology Fudan University Shanghai Cancer Center, Shanghai, China.
Zhiyu ChenDepartment of Gastrointestinal Medical Oncology Fudan University Shanghai Cancer Center, Shanghai, China.
Fudan University Shanghai Cancer Center · CNShanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metastatic colorectal cancer (mCRC) is a heterogenous disease with limited precision medicine and targeted therapy options. Monoclonal antibodies against epidermal growth factor receptor (EGFR) have been a crucial treatment option for mCRC. However, proper biomarkers for predicting therapeutic response remain unknown. As a non-invasive test, circulating tumor DNA (ctDNA) is appropriately positioned to reveal tumor heterogeneity and evolution, as it can be used in real-time genomic profiling. To evaluate the significance of ctDNA in monitoring the dynamic therapeutic response and prognosis of mCRC, we detected the baseline and dynamic changes of ctDNA in mCRC patients receiving anti-EGFR therapies. Methods: A single-center study was conducted retrospectively. Plasma samples from mCRC patients who received anti-EGFR therapies were collected at baseline and continuous treatment points. The ctDNA was extracted and sequenced with a target panel of tumor-related genes Results: We conducted dynamic sampling of 22 mCRC patients, analyzed 130 plasma samples, obtained a baseline genomic mutation profile of the patients. In total, 54 variations were detected in 22 plasma samples, with a positive rate of 77.3% (17/22). TP53 was the most mutated gene (59.1%, 13/22), followed by APC (18.2%, 4/22). There was a high concordance rate of genomic characteristics between the tumor tissue test by polymerase chain reaction and ctDNA test by NGS. The mutation discrepancy increased with an extended course of treatment. During remission TP53 and APC were the most frequently decreased clonal mutations and KRAS, NRAS, ERBB2 and PIK3CA were the most decreased subclonal mutations. Both mutation types were increased during progression. The ctDNA decreased earlier than did the responses of computed tomography and traditional tumor markers (carbohydrate antigen 19-9 and carcinoembryonic antigen [CEA]). Lactate dehydrogenase level Conclusions: This study demonstrates that ctDNA is a promising biomarker for monitoring the dynamic response to treatment and determining the prognosis of mCRC.

Indexed as

circulating tumor DNAcolorectal cancerdynamic monitoringnext-generation sequencingprognosis

Identifiers

PMID35280779
PMCPMC8908369
OpenAlexW4213442952

What Socratic 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 Socratic graph.