Evidence map›Paper›PMID 32942985›Full record

ArticleMolecular medicine (Cambridge, Mass.)2020

Genetic profiling of primary and secondary tumors from patients with lung adenocarcinoma and bone metastases reveals targeted therapy options.

Long Huang, Xiao-Liu Jiang, Hong-Bin Liang, Jian-Cheng Li, Li-Han Chin, Jian-Ping Wei, Rui-Ru Wang, Jing Cai, Qiang Xiong, Lien-Tu Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Molecular medicine (Cambridge, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Extracellular Vesicles in Tumors: A Potential Mediator of Bone Metastasis.Frontiers in cell and developmental biology · 2021
    Review
  9. 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

12 authors at 3 institutions in 1 country.

Long HuangDepartment of Oncology, the Second Affiliated Hospital of Nanchang University, Nanchang, China.
Xiao-Liu JiangDepartment of Oncology, the Second Affiliated Hospital of Nanchang University, Nanchang, China.
Hong-Bin LiangBerry Oncology Corporation, Beijing, China.
Jian-Cheng LiDepartment of Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, China.
Li-Han ChinBerry Oncology Corporation, Beijing, China.
Jian-Ping WeiDepartment of Oncology, the Second Affiliated Hospital of Nanchang University, Nanchang, China.
Rui-Ru WangBerry Oncology Corporation, Beijing, China.
Jing CaiDepartment of Oncology, the Second Affiliated Hospital of Nanchang University, Nanchang, China.
Qiang XiongDepartment of Oncology, the Second Affiliated Hospital of Nanchang University, Nanchang, China.
Lien-Tu WangBerry Oncology Corporation, Beijing, China.
David S CramBerry Genomics Corporation, Beijing, China. david.cram@berrygenomics.com.ORCID 0000-0002-2587-2476
An-Wen LiuDepartment of Oncology, the Second Affiliated Hospital of Nanchang University, Nanchang, China. awliu666@163.com.
Nanchang University · CNBerry Oncology (China) · CNFujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients newly diagnosed with lung adenocarcinoma with bone metastases (LABM) have poor survival rates after treatment with conventional therapies. To improve outcomes, we retrospectively investigated whether the application of a more comprehensive genetic test of tumor biopsies samples from LABM patients could provide the basis for treatment with more effective tyrosine kinase inhibitors (TKIs) regimens.

methodsFine needle biopsies were taken from the primary tumor (PT) and a secondary bone metastasis (BM) of 17 LABM patients before treatment. Simple genetic profiles for selecting therapies were initially obtained using an ARMS-PCR test for EGFR and ALK fusion mutations. More detailed genetic profiles of somatic exon SNVs and CNVs in 457 cancer-related genes were retrospectively derived using capture single molecule amplification and resequencing technology (capSMART).

resultsARMS-PCR identified 14 EGFR positive, 3 EGFR negative and 1 ALK fusion positive patient. A therapy regimen incorporating TKIs Gefitinib and Crizotinib was offered to the EGFR and ALK fusion positive patients, respectively. With the exception of two patients, molecular profiling of matching PT and BM biopsies identified a highly shared somatic variant fingerprint, although the BMs exhibited additional genomic instability. In six of 13 EGFR positive patients and in all three EGFR negative patients, examination of the genetic profiles identified additional clinically significant mutations that are known or experimental drug targets for treatment of lung cancer.

conclusionOur findings firstly suggest that treatment regimens based on comprehensive genetic assessment of newly diagnosed LABM patients should target both the PT and secondary BMs, including rogue clones with potential to form new BMs. Second, the additional information gained should allow clinicians to design and implement more personalized treatment regimens and potentially improve outcomes for LABM patients.

Indexed as

TranscriptomeAdenocarcinoma of LungAgedBiomarkers, TumorBiopsyBone NeoplasmsFemaleGene Expression ProfilingHumansMaleMiddle AgedMolecular Targeted TherapyMutationNeoplasm GradingNeoplasms, Second PrimaryNeoplasm StagingBiomarkers, TumorEpithelial growth factor receptor (EGFR), clonal evolution, capture single molecule amplification and resequencing technology (capSMART)Lung adenocarcinoma bone metastasis (LABM)Lung adenocarcinoma (LA)

Identifiers

PMID32942985
PMCPMC7499871
OpenAlexW3087598713

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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.