Evidence map›Paper›PMID 22980418›Full record

ReviewChinese journal of cancer2012

Application of next-generation sequencing in clinical oncology to advance personalized treatment of cancer.

Yan-Fang Guan, Gai-Rui Li, Rong-Jiao Wang, Yu-Ting Yi, Ling Yang, Dan Jiang, Xiao-Ping Zhang, Yin Peng

Abstract readReview
In one paragraph

Review in Chinese journal of cancer, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
–field-weighted citation impact
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

60 citing papers in PubMed.

  1. Trial
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  12. Article
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  14. Genomic characterization of peritoneal lavage cytology-positive gastric cancer.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2024
    Article
  15. Article
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  17. Review
  18. Article
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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

8 authors.

Yan-Fang GuanShenzhen Clinical Molecular Diagnostic Engineering Laboratory, BGI-Shenzhen, Shenzhen, Guangdong, People's Republic of China.
Gai-Rui Li
Rong-Jiao Wang
Yu-Ting Yi
Ling Yang
Dan Jiang
Xiao-Ping Zhang
Yin Peng

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the development and improvement of new sequencing technology, next-generation sequencing (NGS) has been applied increasingly in cancer genomics research over the past decade. More recently, NGS has been adopted in clinical oncology to advance personalized treatment of cancer. NGS is used to identify novel and rare cancer mutations, detect familial cancer mutation carriers, and provide molecular rationale for appropriate targeted therapy. Compared to traditional sequencing, NGS holds many advantages, such as the ability to fully sequence all types of mutations for a large number of genes (hundreds to thousands) in a single test at a relatively low cost. However, significant challenges, particularly with respect to the requirement for simpler assays, more flexible throughput, shorter turnaround time, and most importantly, easier data analysis and interpretation, will have to be overcome to translate NGS to the bedside of cancer patients. Overall, continuous dedication to apply NGS in clinical oncology practice will enable us to be one step closer to personalized medicine.

Indexed as

MutationPrecision MedicineHigh-Throughput Nucleotide SequencingHumansNeoplasmsSequence Analysis, DNA

Identifiers

PMID22980418
PMCPMC3777453

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.