Evidence map›Paper›PMID 36264490›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Detection of TP53 Mutation in Acute Myeloid Leukemia by RT-PCR-Based Sanger Sequencing.

Emily R Novak, Anagha Deshpande, Darren Finlay, James R Mason, Aniruddha J Deshpande, Peter D Adams, Sha Li

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 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
3.1field-weighted citation impact, top 9% 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. 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

7 authors at 3 institutions in 1 country.

Emily R NovakSanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA.
Anagha DeshpandeSanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA.
Darren FinlaySanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA.
James R MasonScripps MD Anderson Cancer Center, La Jolla, CA, USA.
Aniruddha J DeshpandeSanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA.
Peter D AdamsSanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA.
Sha LiSanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA. sli@sbpdiscovery.org.
Discovery Institute · USSanford Burnham Prebys Medical Discovery Institute · USScripps MD Anderson Cancer Center · US

Funding

Tumor Microenvironment and Cancer ImmunologyP30CA030199 · NCI · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI Michael Jackson · 1985 to 2026
$107.2M
NCI NIH HHS P30 CA030199
6 · The paper itself

Abstract

The TP53 gene is known to be one of the most frequently mutated genes in various human cancers. In de novo acute myeloid leukemia (AML), TP53 has been found to be mutated in ~10% of patients. Although the frequency of TP53 mutations in AML is substantially lower compared to other human cancers, TP53 mutations in AML are associated with poor response to chemotherapy and poor outcomes. Therefore, assessment of TP53 status is critical in clinical routines and research studies. In this chapter, we described the use of conventional RT-PCR for rapid detection of TP53 mutations by Sanger sequencing. We use AML cells as an example but provide sufficient details for usage in other cell types.

Indexed as

Leukemia, Myeloid, AcuteBase SequenceGenes, p53HumansMutationReverse Transcriptase Polymerase Chain ReactionTumor Suppressor Protein p53TP53 protein, humanTumor Suppressor Protein p53AMLMutationRT-PCRSanger sequencingTP53

Identifiers

PMID36264490
PMCPMC13006053
OpenAlexW4306865755

What OpenQuestion holds

Textmetadata
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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.