Evidence map›Paper›PMID 30687062›Full record

ArticleCase reports in oncology

Dual HER2 Suppression with Lapatinib plus Trastuzumab for Metastatic Inflammatory Breast Cancer: A Case Report of Prolonged Stable Disease.

Lauren Ogawa, Deborah Lindquist

Open access · goldAbstract readCase Reports
In one paragraph

Article in Case reports in oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. 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

2 authors at 2 institutions in 1 country.

Lauren OgawaArizona Oncology, US Oncology Network, Sedona, Arizona, USA.
Deborah LindquistArizona Oncology, US Oncology Network, Sedona, Arizona, USA.
Arizona Oncology · USThe US Oncology Network · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContinuous therapy targeting human epidermal growth factor receptor 2 (HER2) is recommended until disease progression for patients with HER2-overexpressing (HER2+) metastatic breast cancer. Prolonged stable disease has been observed with such maintenance therapy using trastuzumab, but the frequency of these cases remains low. Whether combined maintenance therapy with two different HER2-targeted agents could improve the rates of durable progression-free survival compared with trastuzumab alone is under investigation.

objectivesTo evaluate the efficacy of the combined HER2-targeted agents, trastuzumab and lapatinib, as maintenance therapy in one patient.

methodsWe describe a patient with HER2+, hormone receptor-negative, inflammatory metastatic breast cancer who was previously treated with doxorubicin, cyclophosphamide, and zoledronic acid followed by paclitaxel and trastuzumab. After completion, the patient underwent a bilateral mastectomy and then enrolled into a Phase III open-label clinical trial of trastuzumab plus lapatinib.

resultsThe patient experienced long-term stable disease on combined lapatinib and trastuzumab maintenance therapy over 4 years.

conclusionsThis case demonstrates that prolonged stable disease is possible with lapatinib plus trastuzumab, even in patients with the aggressive inflammatory subtype. Optimization of maintenance therapy could improve outcomes for patients with HER2+ metastatic breast cancer.

Indexed as

HER2InflammatoryLapatinibMetastatic breast cancerTrastuzumab

Identifiers

PMID30687062
PMCPMC6341317
OpenAlexW2903806409

What OpenQuestion holds

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LicenceCC BY-NC
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.