Evidence map›Paper›PMID 32030215›Full record

ArticleJournal of thoracic disease2019

Comparison of next-generation sequencing and immunohistochemistry analysis for targeted therapy-related genomic status in lung cancer patients.

Lin Nong, Zhenzhen Zhang, Yan Xiong, Yalin Zheng, Xin Li, Dong Li, Qiye He, Ting Li

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Unravelling the complexity ofTranslational lung cancer research · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Correlating ROS1 Protein Expression WithJTO clinical and research reports · 2021
    Article
  12. Aptamers in Non-Small Cell Lung Cancer Treatment.Molecules (Basel, Switzerland) · 2020
    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

8 authors.

Lin NongDepartment of Pathology, Peking University First Hospital, Beijing 100034, China.
Zhenzhen ZhangSinglera Genomics Inc., Shanghai 201318, China.
Yan XiongDepartment of Pathology, Peking University First Hospital, Beijing 100034, China.
Yalin ZhengDepartment of Pathology, Peking University First Hospital, Beijing 100034, China.
Xin LiDepartment of Pathology, Peking University First Hospital, Beijing 100034, China.
Dong LiDepartment of Pathology, Peking University First Hospital, Beijing 100034, China.
Qiye HeSinglera Genomics Inc., Shanghai 201318, China.
Ting LiDepartment of Pathology, Peking University First Hospital, Beijing 100034, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSome drugs that target molecular pathways are available for the targeted treatment of lung cancer. Multiple tests are needed to detect the status of the known molecular targets to determine whether the patients can respond to the drugs. An integrated platform for various gene alteration detection including both mutations and rearrangements is necessary for patients, especially those without enough tissue.

methodsIn our study, detections of

resultsNGS could explore various gene mutations and gene rearrangements with a reduced experiment time and lower amounts of tumor tissues than multiple IHC staining experiments. NGS results were more informative and reliable than IHC staining for

conclusionsNGS is effective for confirmation the status of various important lung cancer-related gene alterations. Furthermore, NGS is necessary for the confirmation of the IHC results of

Indexed as

ALK rearrangementEGFR mutationsimmunohistochemistry (IHC)Lung cancernext-generation sequencing (NGS)ROS1 rearrangement

Identifiers

PMID32030215
PMCPMC6988007

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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.