Evidence map›Paper›PMID 28253285›Full record

ArticlePloS one2017

PTEN expression as a predictor for the response to trastuzumab-based therapy in Her-2 overexpressing metastatic breast cancer.

Daphne Gschwantler-Kaulich, Yen Y Tan, Eva-Maria Fuchs, Gernot Hudelist, Wolfgang J Köstler, Angelika Reiner, Carmen Leser, Mohamed Salama, Johannes Attems, Christine Deutschmann and 2 more

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Immunohistochemistry for PTEN testing in HR +/HER2- metastatic breast cancer.Virchows Archiv : an international journal of pathology · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Precise Immunodetection of PTEN Protein in Human Neoplasia.Cold Spring Harbor perspectives in medicine · 2019
    Review
  8. PIK3CA and PTEN Genes Expressions in Breast Cancer.Asian Pacific journal of cancer prevention : APJCP · 2019
    Article
  9. 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

12 authors.

Daphne Gschwantler-KaulichDepartment of Obstetrics and Gynecology, Cancer Comprehensive Center, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0002-7401-0987
Yen Y TanDepartment of Obstetrics and Gynecology, Cancer Comprehensive Center, Medical University of Vienna, Vienna, Austria.
Eva-Maria FuchsClinical Division of Oncology, Department of Medicine I and Center for Excellence in Clinical and Experimental Oncology, Medical University of Vienna, Vienna, Austria.
Gernot HudelistDepartment of Obstetrics and Gynecology, Cancer Comprehensive Center, Medical University of Vienna, Vienna, Austria.
Wolfgang J KöstlerClinical Division of Oncology, Department of Medicine I and Center for Excellence in Clinical and Experimental Oncology, Medical University of Vienna, Vienna, Austria.
Angelika ReinerDepartment of Pathology, Sozialmedizinisches Zentrum Ost, Vienna, Austria.
Carmen LeserDepartment of Obstetrics and Gynecology, Cancer Comprehensive Center, Medical University of Vienna, Vienna, Austria.
Mohamed SalamaDepartment of Thoracic Surgery, Otto Wagner Hospital, Vienna, Austria.
Johannes AttemsDepartment of Pathology, Otto Wagner Hospital, Vienna, Austria.
Christine DeutschmannDepartment of Obstetrics and Gynecology, Cancer Comprehensive Center, Medical University of Vienna, Vienna, Austria.
Christoph C ZielinskiClinical Division of Oncology, Department of Medicine I and Center for Excellence in Clinical and Experimental Oncology, Medical University of Vienna, Vienna, Austria.
Christian F SingerDepartment of Obstetrics and Gynecology, Cancer Comprehensive Center, Medical University of Vienna, Vienna, Austria.

Funding

Medical Research Council G0400074Medical Research Council G0502157Medical Research Council G0900652Medical Research Council G1100540
6 · The paper itself

Abstract

backgroundEven though trastuzumab is an effective therapy in early stage Her-2+ breast cancer, 40-50% of advanced Her-2+ breast cancer patients develop trastuzumab resistance. A potential resistance mechanism is aberrant downstream signal transmission due to loss of phosphatase and tensin homologue (PTEN). This study investigated the relationship between the expression of PTEN and trastuzumab response in Her-2 overexpressing metastatic breast cancer patients.

methodsBetween 2000 and 2007, 164 patients with Her-2+ metastatic breast cancer received trastuzumab-based therapy in our institution. We analyzed PTEN status by immunohistochemistry of 115 available tumor tissues and analyzed associations with other histopathological parameters, response rate, progression free survival (PFS) and overall survival (OS) with a median follow-up of 60 months.

resultsEighty patients were PTEN positive (69.6%) and 35 patients PTEN negative (30.4%). We found a significant association of the expression of PTEN and p53 (p = 0.041), while there was no association with grading, hormone receptor status, IGFR or MIB. We found significantly more cases with progressive disease under trastuzumab-based therapy in patients with PTEN positive breast cancers (p = 0.018), while there was no significant correlation with PFS or OS.

conclusionIn Her-2-positive metastatic breast cancers, PTEN positivity was significantly associated with progressive disease, but not with PFS or OS.

Indexed as

AdultAgedAged, 80 and overAntineoplastic AgentsBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesFemaleHumansMiddle AgedNeoplasm MetastasisPTEN PhosphohydrolaseTrastuzumabYoung AdultAntineoplastic AgentsErb-b2 Receptor Tyrosine KinasesPTEN PhosphohydrolasePTEN protein, humanTrastuzumab

Identifiers

PMID28253285
PMCPMC5333838

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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.