Evidence map›Paper›PMID 27463065›Full record

ArticleCancer2016

TP53 mutations in newly diagnosed acute myeloid leukemia: Clinicomolecular characteristics, response to therapy, and outcomes.

Tapan M Kadia, Preetesh Jain, Farhad Ravandi, Guillermo Garcia-Manero, Michael Andreef, Koichi Takahashi, Gautam Borthakur, Elias Jabbour, Marina Konopleva, Naval G Daver and 7 more

Open access · greenAbstract read
In one paragraph

Article in Cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 147 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
147citing papers in PubMed, 2 pooled it
12.3field-weighted citation impact, top 1% 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

147 citing papers in PubMed, 2 syntheses or guidelines pooled it, 262 citations in OpenAlex.

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87 more citing papers are in PubMed but not listed here.

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

17 authors at 1 institution in 1 country.

Tapan M KadiaDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Preetesh JainDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Farhad RavandiDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Guillermo Garcia-ManeroDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Michael AndreefDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Koichi TakahashiDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Gautam BorthakurDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Elias JabbourDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Marina KonoplevaDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Naval G DaverDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Courtney DinardoDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Sherry PierceDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Rashmi Kanagal-ShamannaDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Keyur PatelDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Zeev EstrovDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Jorge CortesDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Hagop M KantarjianDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
University of Texas M.D. Anderson Cancer SPORE-LeukemiaP50CA100632 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI KONOPLEVA, MARINA Y · 2003 to 2023
$43.7M
TOLERANCE INDUCTION BY MEGADOSE STEM CELL TRANSPLANTS IN CML--GVHD AND GVLP01CA049639 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI THALL, PETER F · 1990 to 2014
$41.8M
National Cancer Institute P01 CA049639NCI NIH HHS P01 CA049639NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA100632University of Texas MD Anderson Cancer Center CA016672
6 · The paper itself

Abstract

backgroundMutations in the tumor protein 53 (TP53) gene predict a poor prognosis in patients with acute myeloid leukemia (AML).

methodsPeripheral blood or bone marrow samples from 293 patients with newly diagnosed AML were analyzed with targeted, amplicon-based, next-generation sequencing-based mutation analysis.

resultsTP53 mutations were identified in 53 patients (18%; 45 were missense mutations). In 13 of the 53 patients, the most common pattern of amino acid substitution was a substitution of arginine to histidine on different codons. The clinical characteristics, pattern of mutations, response to different therapies, and outcomes of patients with AML-TP53-mutated (n = 53) versus wild-type TP53 (n = 240) were compared. TP53 mutations were significantly more likely in patients who had a complex karyotype; abnormalities of chromosome 5, 7, and 17; and therapy-related AML. Patients who had TP53-mutated AML had significantly lower incidence of mutations in Fms-like tyrosine kinase 3 (FLT3), rat sarcoma (RAS), and nucleophosmin (NPM1) and higher incidence of coexisting MPL mutations compared with those who had wild type TP53. The distribution of TP53 mutations was equal for both age groups (ages <60 years vs ≥60 years). TP53-mutated AML was associated with a lower complete remission rate (41% vs 57%; P = .04), a significantly inferior complete remission duration (at 2 years: 30% vs 55%; P = .001), and overall survival (at 2 years: 9% vs 24%; P ≤ .0001) irrespective of age or the type of treatment received (high-intensity vs low-intensity chemotherapy).

conclusionsThe type of treatment received did not improve outcomes in younger or older patients with TP53-mutated AML. These data suggest that novel therapies are needed to improve the outcome of patients with AML who have TP53 mutations. Cancer 2016;122:3484-3491. © 2016 American Cancer Society.

Indexed as

acute myeloid leukemia (AML)adverse prognosisbiomarkers of resistancecomplex karyotypetumor protein 53 (TP53)

Identifiers

PMID27463065
PMCPMC5269552
OpenAlexW2499799649

What OpenQuestion holds

Textmetadata
LicenceTDM
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.