Evidence map›Paper›PMID 28058585›Full record

ArticlePathology oncology research : POR2017

Detection of KRAS Mutations in Plasma DNA Using a fully Automated Rapid Detection System in Colorectal Cancer Patients.

Kazuhisa Hosoya, Satoshi Matsusaka, Tomomi Kashiwada, Koichi Suzuki, Norio Ureshino, Akemi Sato, Yoshio Miki, Kazuki Kitera, Mitsuharu Hirai, Kiyohiko Hatake and 2 more

Open access · hybridAbstract read
PubMed Publisher
In one paragraph

Article in Pathology oncology research : POR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

12 authors at 5 institutions in 1 country.

Kazuhisa HosoyaDivision of Hematology, Respiratory Medicine and Oncology, Department of Internal Medicine, Faculty of Medicine, Saga University, 5-1-1 Nabeshima, Saga, 849-8501, Japan.
Satoshi MatsusakaGastroenterological Center, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Tomomi KashiwadaDivision of Hematology, Respiratory Medicine and Oncology, Department of Internal Medicine, Faculty of Medicine, Saga University, 5-1-1 Nabeshima, Saga, 849-8501, Japan.
Koichi SuzukiDepartment of Surgery, Saitama Medical Center, Jichi Medical University, Saitama, Japan.
Norio UreshinoDepartment of Medical Oncology, Saga Prefectural Hospital, Koseikan, Saga, Japan.
Akemi SatoDivision of Hematology, Respiratory Medicine and Oncology, Department of Internal Medicine, Faculty of Medicine, Saga University, 5-1-1 Nabeshima, Saga, 849-8501, Japan.
Yoshio MikiDepartment of Genetic Diagnosis, The Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan.
Kazuki KiteraARKRAY Inc., Research and Development Division, Kyoto, Japan.
Mitsuharu HiraiARKRAY Inc., Research and Development Division, Kyoto, Japan.
Kiyohiko HatakeClinical Chemotherapy, Cancer Chemotherapy Center, Japanese Foundation for Cancer Research, Tokyo, Japan.
Shinya KimuraDivision of Hematology, Respiratory Medicine and Oncology, Department of Internal Medicine, Faculty of Medicine, Saga University, 5-1-1 Nabeshima, Saga, 849-8501, Japan.
Naoko Sueoka-AraganeDivision of Hematology, Respiratory Medicine and Oncology, Department of Internal Medicine, Faculty of Medicine, Saga University, 5-1-1 Nabeshima, Saga, 849-8501, Japan. sueokan@cc.saga-u.ac.jp.
Saga University · JPJapanese Foundation For Cancer Research · JPArkray (Japan) · JPJichi Medical University · JPSaga-Ken Medical Centre Koseikan · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

KRAS mutations have been recognized as predictive markers of primary resistance to anti-EGFR-antibodies in colorectal cancer patients. In addition, newly detected KRAS mutations have been reported to be related with acquired resistance to chemotherapy containing anti-EGFR antibody. Considering this evidence, monitoring of KRAS mutations is indispensable for making treatment decisions, and the method should be non-invasive allowing repeated examinations. Recently, we established a novel automated sensitive detection system for KRAS mutations, named mutation-biased PCR quenching probe system (MBP-QP). The goal of our study was to investigate the potential for monitoring KRAS mutations during treatment with anti-EGFR antibodies. The detection limit of MBP-QP using a control plasmid containing KRAS mutations was 1-9 copies, and 0.05-0.3% mutant plasmid was detectable in a mixture of wild type and mutants. One-hundred twenty colorectal cancer patients were genotyped for KRAS mutations with MBP-QP as well as polymerase chain reaction reverse sequence-specific oligonucleotide (PCR-rSSO), which has already been applied to cancer tissue samples in the clinical setting. Concordance rates between plasma DNA and cancer tissues were 68% with MBP-QP and 66% with PCR-rSSO, indicating that these systems are equivalent in terms of detecting KRAS mutations with plasma DNA. KRAS mutations in plasma DNA were frequently observed in systemic metastatic cancer patients, and in three patients KRAS mutations appeared after chemotherapy containing anti-EGFR antibody. A prospective study is needed for clarifying whether KRAS mutations detected in plasma DNA are predictive markers of treatment efficacy with anti-EGFR antibody.

Indexed as

Circulating Tumor DNAColorectal NeoplasmsDNA Mutational AnalysisHumansMutationPolymerase Chain ReactionProto-Oncogene Proteins p21(ras)Circulating Tumor DNAKRAS protein, humanProto-Oncogene Proteins p21(ras)Colorectal neoplasmsKRAS mutationMolecular targeted therapyPlasma DNA

Identifiers

PMID28058585
OpenAlexW2570635935

What OpenQuestion holds

Textmetadata
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.