Evidence map›Paper›PMID 36674433›Full record

ReviewInternational journal of molecular sciences2023

Enzymatic Methods for Mutation Detection in Cancer Samples and Liquid Biopsies.

Farzaneh Darbeheshti, G Mike Makrigiorgos

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. 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
1.0field-weighted citation impact, top 23% 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, 4 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Farzaneh DarbeheshtiDepartment of Radiation Oncology, Dana Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02215, USA.ORCID 0000-0002-4957-9004
G Mike MakrigiorgosDepartment of Radiation Oncology, Dana Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02215, USA.ORCID 0000-0001-7598-2406
Brigham and Women's Hospital · US

Funding

Comprehensive minimal residual disease tracking in cancerR01CA221874 · NCI · DANA-FARBER CANCER INST · PI Viktor Adalsteinsson, G. Mike Makrigiorgos · 2018 to 2026
$2.5M
NCI NIH HHS R01 CA221874
6 · The paper itself

Abstract

Low-level tumor somatic DNA mutations in tissue and liquid biopsies obtained from cancer patients can have profound implications for development of metastasis, prognosis, choice of treatment, follow-up, or early cancer detection. Unless detected, such low-frequency DNA alterations can misinform patient management decisions or become missed opportunities for personalized medicine. Next-generation sequencing technologies and digital-PCR can resolve low-level mutations but require access to specialized instrumentation, time, and resources. Enzymatic-based approaches to detection of low-level mutations provide a simple, straightforward, and affordable alternative to enrich and detect such alterations and is broadly available to low-resource laboratory settings. This review summarizes the traditional uses of enzymatic mutation detection and describes the latest exciting developments, potential, and applications with specific reference to the field of liquid biopsy in cancer.

Indexed as

NeoplasmsBiomarkers, TumorDNA, NeoplasmHigh-Throughput Nucleotide SequencingHumansLiquid BiopsyMutationPolymerase Chain ReactionBiomarkers, TumorDNA, Neoplasmlow-level mutationsmutation detectionnucleotide mismatchespolymerase chain reaction

Identifiers

PMID36674433
PMCPMC9865676
OpenAlexW4313582603

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.