Evidence map›Paper›PMID 33655632›Full record

ArticleThoracic cancer2021

Non-small-cell lung cancer with ERBB2 mutation in non-tyrosine kinase domain benefits from pyrotinib: A case report.

Jun Ni, Xiao-Yan Si, Li Zhang

Open access · goldAbstract readCase Reports
In one paragraph

Article in Thoracic cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

3 authors at 1 institution in 1 country.

Jun NiDepartment of Pulmonary and Critical Care Medicine, Peking Union Medical Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China.ORCID 0000-0002-5939-8856
Xiao-Yan SiDepartment of Pulmonary and Critical Care Medicine, Peking Union Medical Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China.ORCID 0000-0003-2913-3045
Li ZhangDepartment of Pulmonary and Critical Care Medicine, Peking Union Medical Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China.ORCID 0000-0002-8101-672X
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tyrosine kinase domain (TKD) mutation and particularly exon 20 insertion mutations of erb-b2 receptor tyrosine kinase 2 (ERBB2/HER2) have been extensively reported in non-small cell lung cancer (NSCLC). Nevertheless, the clinical significance of non-TKD mutations remains unknown. To date, no clinical trials have revealed that tyrosine kinase inhibitors are effective in NSCLC patients with non-TKD ERBB2 mutations. Here we report a patient with advanced lung adenocarcinoma harboring non-TKD mutation of ERBB2, S335C, without other actionable alterations benefited from pyrotinib. After first-line treatment of pyrotinib monotherapy, a pan-HER inhibitor, the patient achieved a durable partial response with good tolerance. This case powerfully illustrates that pyrotinib might be a promising first-line treatment strategy for NSCLC patients with non-TKD mutation of ERBB2.

Indexed as

AcrylamidesAminoquinolinesCarcinoma, Non-Small-Cell LungErb-b2 Receptor Tyrosine KinasesHumansLung NeoplasmsMaleMiddle AgedMutationAcrylamidesAminoquinolinesERBB2 protein, humanErb-b2 Receptor Tyrosine KinasespyrotinibERBB2non-small cell lung cancernontyrosine kinase domain mutationpyrotinibtargeted therapy

Identifiers

PMID33655632
PMCPMC8046093
OpenAlexW3135857691

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.