Evidence map›Paper›PMID 31853266›Full record

ArticleTherapeutic advances in medical oncology2019

An RB-1 loss of function gene signature as a tool to predict response to neoadjuvant chemotherapy plus anti-HER2 agents: a substudy of the NeoALTTO trial (BIG 1-06).

Emanuela Risi, Chiara Biagioni, Matteo Benelli, Ilenia Migliaccio, Amelia McCartney, Martina Bonechi, Cristina Guarducci, Florentine Hilbers, Serena Di Cosimo, Jens Huober and 7 more

Abstract read
In one paragraph

Article in Therapeutic advances in medical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  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

17 authors.

Emanuela RisiSandro Pitigliani Medical Oncology Department, Hospital of Prato, via Suor Niccolina Infermiera 20, Prato, 59100, Italy.ORCID https://orcid.org/0000-0002-9307-9760
Chiara BiagioniBioinformatics Unit, Hospital of Prato, Prato, Italy.
Matteo BenelliBioinformatics Unit, Hospital of Prato, Prato, Italy.
Ilenia MigliaccioSandro Pitigliani Translational Research Unit, Hospital of Prato, Prato, Italy.
Amelia McCartneySandro Pitigliani Medical Oncology Department, Hospital of Prato, Prato, Italy.
Martina BonechiSandro Pitigliani Translational Research Unit, Hospital of Prato, Prato, Italy.
Cristina GuarducciSandro Pitigliani Translational Research Unit, Hospital of Prato, Prato, Italy.
Florentine HilbersBreast International Group (BIG), Brussels, Belgium.
Serena Di CosimoDivision of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Jens HuoberBreast Center, University of Ulm, Ulm, Germany.
Dario RomagnoliBioinformatics Unit, Hospital of Prato, Prato, Italy.
Giulia BoccaliniSandro Pitigliani Translational Research Unit, Hospital of Prato, Prato, Italy.
Stefania VitaleSandro Pitigliani Medical Oncology Department, Hospital of Prato, Prato, Italy.
Christos SotiriouBreast Cancer Translational Research Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium.
Laura BiganzoliSandro Pitigliani Medical Oncology Department, Hospital of Prato, Prato, Italy.
Angelo Di LeoSandro Pitigliani Medical Oncology Department, Hospital of Prato, Prato, Italy.
Luca MalorniSandro Pitigliani Medical Oncology Department, Hospital of Prato, Prato, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChemotherapy added to anti-HER2 agents (H) is the treatment of choice in patients with HER2+ early breast cancer. However, HER2+ tumours are clinically and biologically heterogeneous, and treatment response varies significantly by hormone receptor (HR) status and molecular subtype. Predictive biomarkers are needed in this context. This study assessed whether an RB-1 loss of function gene signature (RBsig) is predictive of response to neoadjuvant chemotherapy in combination with trastuzumab, lapatinib or both, within the NeoALTTO trial.

methodsWe collected RNA-sequencing data from pretreatment biopsies derived from the NeoALTTO trial. RBsig expression was computed retrospectively and correlated with pathological complete response (pCR) using receiver-operating characteristic (ROC) curves. The RBsig was dichotomised as High/Low in correspondence to the 25th percentile. Reported

resultsOf 455 NeoALTTO patients, 244 were eligible for this substudy (HR+

conclusionsThese results indicate RBsig may add valuable information to HER2 and HR expression, which may in turn inform treatment choices. HR+/HER2+/RBsig Low breast cancers exhibited the poorest pathological response following chemotherapy plus H. Accordingly, in such patients, endocrine therapy in combination with H and, possibly, a CDK4/6 inhibitor, may potentially prove to be a more effective treatment.

Indexed as

gene expression profilingHER2+ breast cancerneoadjuvant chemotherapypredictive biomarkerRB pathway

Identifiers

PMID31853266
PMCPMC6906346

What OpenQuestion holds

Textmetadata
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.