Evidence map›Paper›PMID 39814370›Full record

ArticleCancer reports (Hoboken, N.J.)2025

Neratinib and the Role of Anti-HER2 Therapy in Salivary Duct Carcinoma.

Martina Napolitano, Lucia Trudu, Enrica Martinelli, Chiara Santini, Massimo Dominici, Federica Bertolini

Abstract readCase Reports
In one paragraph

Article in Cancer reports (Hoboken, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Martina NapolitanoDepartment of Oncology and Hematology, Azienda Ospedaliero-Universitaria di Modena, Modena, Italy.
Lucia TruduDepartment of Oncology and Hematology, Azienda Ospedaliero-Universitaria di Modena, Modena, Italy.
Enrica MartinelliDepartment of Oncology and Hematology, Azienda Ospedaliero-Universitaria di Modena, Modena, Italy.ORCID 0009-0003-5386-2827
Chiara SantiniAULSS7 Pedemontana-Unità Operativa Complessa di Oncologia, Italy.
Massimo DominiciDepartment of Oncology and Hematology, Azienda Ospedaliero-Universitaria di Modena, Modena, Italy.
Federica BertoliniDepartment of Oncology and Hematology, Azienda Ospedaliero-Universitaria di Modena, Modena, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroudSalivary duct carcinoma (SDC) is a rare and aggressive malignancy with a generally dismal prognosis and no standard of care established, despite a known association with epidermal growth factor receptor 2 (HER2) and androgen receptor (AR) over-expression. CASE: We report the case of a 64-year-old female with extra- and intracranial metastases of SDC with evidence of AR and HER2 overexpression. After progression on first line chemotherapy, was administered neratinib, a pan-Erb2 receptor tyrosine kinase inhibitor. Even with central nervous system involvement at diagnosis, a durable clinical response was obtained with a PFS of 11 months and no significant toxicities to manage. Best response observed during tratment was partial response.

conclusionsThis case confirms the potential efficacy of neratinib in HER2-positive SDC and underlines the need to define the best therapeutic sequence and potential biomarkers for these rare patients.

Indexed as

Erb-b2 Receptor Tyrosine KinasesProtein Kinase InhibitorsQuinolinesSalivary Gland NeoplasmsFemaleHumansMiddle AgedReceptors, AndrogenSalivary DuctsERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesneratinibProtein Kinase InhibitorsQuinolinesReceptors, Androgenhead and neckHER2 targeted therapyneratinibprecision medicinesalivary duct carcinoma

Identifiers

PMID39814370
PMCPMC11735052

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Registered trials

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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.