Evidence map›Paper›PMID 28538405›Full record

ArticleMedicine2017

Marked response to nab-paclitaxel in EGFR mutated lung neuroendocrine carcinoma: A case report.

Jin-Yan Liang, Fan Tong, Fei-Fei Gu, Yang-Yang Liu, Yu-Lan Zeng, Xiao-Hua Hong, Kai Zhang, Li Liu

Erratum issuedOpen access · goldAbstract readCase Reports
In one paragraph

Article in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Jin-Yan LiangCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Fan Tong
Fei-Fei Gu
Yang-Yang Liu
Yu-Lan Zeng
Xiao-Hua Hong
Kai Zhang
Li Liu
Huazhong University of Science and Technology · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleLung cancer is the leading cause of cancer-related death in the world. Tyrosine kinase inhibitors (TKIs), which target mutated epidermal growth factor receptor (EGFR), have been the first-line treatment of late-stage lung adenocarcinoma harboring EGFR mutation. EGFR mutations are mostly identified in lung adenocarcinoma. However, it is rarely seen in lung neuroendocrine carcinoma, and treatment strategies remain under reported. PATIENT CONCERNS: Here, we describe a 54-year-old Chinese man diagnosed with lung adenocarcinoma (cT4N3M1b, stage IV) with neuroendocrine differentiation and L858R mutation on exon 21. He developed progressive disease in liver 4 months later, and the biopsy of liver metastases showed neuroendocrine carcinoma maintained the same EGFR mutation. DIAGNOSES: Lung adenocarcinoma and neuroendocrine carcinoma were identified by biopsy.

interventionsAfter a combined treatment with nab-paclitaxel and erlotinib, the patient achieved partial remission. OUTCOMES: The patient's overall survival was 27 months. LESSONS: This case highlights that EGFR mutated lung neuroendocrine carcinoma is not responsive to single-agent EGFR-TKI. However, combined application with nab-paclitaxel can improve its efficacy and prolong the patient's survival.

Indexed as

AdenocarcinomaAdenocarcinoma of LungAlbuminsAntineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsCarcinoma, NeuroendocrineErbB ReceptorsErlotinib HydrochlorideFatal OutcomeHumansLiver NeoplasmsLung NeoplasmsMaleMiddle AgedMutationPaclitaxel130-nm albumin-bound paclitaxelAlbuminsAntineoplastic AgentsEGFR protein, humanErbB ReceptorsErlotinib HydrochloridePaclitaxel

Identifiers

PMID28538405
PMCPMC5457885
OpenAlexW2619913782

What OpenQuestion holds

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LicenceCC BY-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.