Evidence map›Paper›PMID 33014134›Full record

ArticleEcancermedicalscience2020

Excellent response to erlotinib in breast carcinoma with rare EGFR mutation-a case report.

Gunjesh Kumar Singh, Jyoti Bajpai, Shalaka Joshi, Kumar Prabhash, Anuradha Choughule, Asawari Patil, Sudeep Gupta, Rajendra Achyut Badwe

Open access · goldAbstract readCase Reports
In one paragraph

Article in Ecancermedicalscience, 2020. 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
0.8field-weighted citation impact, top 24% 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, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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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 at 1 institution in 1 country.

Gunjesh Kumar SinghDepartment of Medical Oncology, Tata Memorial Hospital, Mumbai 400012, India.
Jyoti BajpaiDepartment of Medical Oncology, Tata Memorial Hospital, Mumbai 400012, India.
Shalaka JoshiDepartment of Surgical Oncology, Tata Memorial Hospital, Mumbai 400012, India.
Kumar PrabhashDepartment of Medical Oncology, Tata Memorial Hospital, Mumbai 400012, India.
Anuradha ChoughuleDepartment of Molecular Biology, Tata Memorial Hospital, Mumbai 400012, India.
Asawari PatilDepartment of Pathology, Tata Memorial Hospital, Mumbai 400012, India.
Sudeep GuptaDepartment of Medical Oncology, Tata Memorial Hospital, Mumbai 400012, India.
Rajendra Achyut BadweDepartment of Surgical Oncology, Tata Memorial Hospital, Mumbai 400012, India.
Tata Memorial Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple negative breast carcinoma is a problematic subtype with poor outcomes. Many clinical trials are underway to find possible target to increase treatment options. Epidermal growth factor receptor (EGFR) has emerged as one such molecule which is over expressed in some of these patients and can be targeted by tyrosine kinase inhibitors. We describe a diagnostically challenging case of metastatic breast carcinoma, with extensive lung disease and poor Eastern Cooperative Oncology Group (ECOG) performance status, which expressed an uncommon EGFR mutation (Exon 21L861Q) and which benefitted from erlotinib following failure of all primary treatment modalities. The case uncovers the presence of these unusual mutations in breast carcinoma and highlights the importance of performing molecular analysis and the appropriate targeted therapy. This approach can be an important problem-solving tool, especially in cases where the patient is not fit for the other standard treatment options.

Indexed as

EGFR mutationmetastasistriple negative breast carcinoma

Identifiers

PMID33014134
PMCPMC7498275
OpenAlexW3081411507

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.