Evidence map›Paper›PMID 27474172›Full record

ReviewOncotarget2016

Clonal evolution of acute myeloid leukemia highlighted by latest genome sequencing studies.

Xuehong Zhang, Dekang Lv, Yu Zhang, Quentin Liu, Zhiguang Li

Open access · diamondAbstract readReview
In one paragraph

Review in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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

5 authors at 1 institution in 1 country.

Xuehong ZhangCenter of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Cancer Center, Dalian Medical University, Dalian, China.
Dekang LvCenter of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Cancer Center, Dalian Medical University, Dalian, China.
Yu ZhangCenter of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Cancer Center, Dalian Medical University, Dalian, China.
Quentin LiuCenter of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Cancer Center, Dalian Medical University, Dalian, China.
Zhiguang LiCenter of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Cancer Center, Dalian Medical University, Dalian, China.
Dalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decades of years might be required for an initiated cell to become a fully-pledged, metastasized tumor. DNA mutations are accumulated during this process including background mutations that emerge scholastically, as well as driver mutations that selectively occur in a handful of cancer genes and confer the cell a growth advantage over its neighbors. A clone of tumor cells could be superseded by another clone that acquires new mutations and grows more aggressively. Tumor evolutional patterns have been studied for years using conventional approaches that focus on the investigation of a single or a couple of genes. Latest deep sequencing technology enables a global view of tumor evolution by deciphering almost all genome aberrations in a tumor. Tumor clones and the fate of each clone during tumor evolution can be depicted with the help of the concept of variant allele frequency. Here, we summarize the new insights of cancer evolutional progression in acute myeloid leukemia. Cancer evolution is currently thought to start from a clone that has accumulated the requisite somatically-acquired genetic aberrations through a series of increasingly disordered clinical and pathological phases, eventually leading to malignant transformation [1-3]. The observations in invasive colorectal cancer that usually emerges from an antecedent benign adenomatous polyp and in cervical cancer that proceeds through intraepithelial neoplasia support the idea of stepwise or linear cancerous progression [3-5]. Genetically, such progression is achieved by successive waves of clonal expansion during which cells acquire novel genomic alterations including single nucleotide variants (SNVs), small insertions and deletions (indels), and/or copy number variations (CNVs) [6]. The latest improvement in sequencing technology has allowed the deciphering of the whole exome or genome in different types of tumor and normal tissue pairs, providing detailed catalogue about genome aberrations during tumor initiation and progression, which have been reviewed in several papers [7-10]. Here, we focus on demonstrating the cancer clonal evolution pattern revealed by recent deep sequencing studies of samples from acute myeloid leukemia (AML) patients.

Indexed as

Clonal EvolutionMutationChromosome AberrationsDNA Copy Number VariationsExomeFemaleGene FrequencyGenome, HumanHematopoietic Stem CellsHeterozygoteHigh-Throughput Nucleotide SequencingHumansLeukemia, Myeloid, AcuteNeoplasm MetastasisSequence Analysis, DNAacute myeloid leukemiacancer genomeclonal evolution

Identifiers

PMID27474172
PMCPMC5295455
OpenAlexW2506420452

What OpenQuestion holds

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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.