Evidence map›Paper›PMID 27116185›Full record

ArticleBreast cancer research and treatment2016

Nottingham prognostic index plus (NPI+) predicts risk of distant metastases in primary breast cancer.

Andrew R Green, D Soria, D G Powe, C C Nolan, M Aleskandarany, M A Szász, A M Tőkés, G R Ball, J M Garibaldi, E A Rakha and 2 more

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2016. 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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

16 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
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  4. Clinical factors affecting the long-term survival of breast cancer patients.The Journal of international medical research · 2023
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  12. Cole Relaxation Frequency as a Prognostic Parameter for Breast Cancer.Journal of patient-centered research and reviews · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 2 countries.

Andrew R GreenDivision of Cancer and Stem Cells, School of Medicine, Breast Cancer Pathology Research Group, Academic Unit of Oncology, Nottingham City Hospital, University of Nottingham, Hucknall Road, Nottingham, NG5 1PB, UK. andrew.green@nottingham.ac.uk.
D SoriaComputer Science and Advanced Data Analysis Centre, University of Nottingham, Nottingham, UK.
D G PoweCellular Pathology, Nottingham University Hospitals NHS Trust, Nottingham, UK.
C C NolanDivision of Cancer and Stem Cells, School of Medicine, Breast Cancer Pathology Research Group, Academic Unit of Oncology, Nottingham City Hospital, University of Nottingham, Hucknall Road, Nottingham, NG5 1PB, UK.
M AleskandaranyDivision of Cancer and Stem Cells, School of Medicine, Breast Cancer Pathology Research Group, Academic Unit of Oncology, Nottingham City Hospital, University of Nottingham, Hucknall Road, Nottingham, NG5 1PB, UK.
M A SzászSecond Department of Pathology, Semmelweis University, Budapest, Hungary.
A M TőkésSecond Department of Pathology, Semmelweis University, Budapest, Hungary.
G R BallSchool of Science and Technology, College of Arts and Science, Nottingham Trent University, Nottingham, UK.
J M GaribaldiComputer Science and Advanced Data Analysis Centre, University of Nottingham, Nottingham, UK.
E A RakhaDivision of Cancer and Stem Cells, School of Medicine, Breast Cancer Pathology Research Group, Academic Unit of Oncology, Nottingham City Hospital, University of Nottingham, Hucknall Road, Nottingham, NG5 1PB, UK.
J KulkaSecond Department of Pathology, Semmelweis University, Budapest, Hungary.
I O EllisDivision of Cancer and Stem Cells, School of Medicine, Breast Cancer Pathology Research Group, Academic Unit of Oncology, Nottingham City Hospital, University of Nottingham, Hucknall Road, Nottingham, NG5 1PB, UK.
University of Nottingham · GBSemmelweis University · HUNottingham University Hospitals NHS Trust · GBNottingham City Hospital · GBNottingham Trent University · GB

Funding

Medical Research Council MR/N005953/1
6 · The paper itself

Abstract

The Nottingham prognostic index plus (NPI+) is based on the assessment of biological class combined with established clinicopathologic prognostic variables providing improved patient outcome stratification for breast cancer superior to the traditional NPI. This study aimed to determine prognostic capability of the NPI+ in predicting risk of development of distant disease. A well-characterised series of 1073 primary early-stage BC cases treated in Nottingham and 251 cases from Budapest were immunohistochemically assessed for cytokeratin (Ck)5/6, Ck18, EGFR, oestrogen receptor (ER), progesterone receptor, HER2, HER3, HER4, Mucin 1 and p53 expression. NPI+ biological class and prognostic scores were assigned using individual algorithms for each biological class incorporating clinicopathologic parameters and investigated in terms of prediction of distant metastases-free survival (MFS). The NPI+ identified distinct prognostic groups (PG) within each molecular class which were predictive of MFS providing improved patient outcome stratification superior to the traditional NPI. NPI+ PGs, between series, were comparable in predicting patient outcome between series in luminal A, basal p53 altered and HER2+/ER+ (p > 0.01) tumours. The low-risk groups were similarly validated in luminal B, luminal N, basal p53 normal tumours (p > 0.01). Due to small patient numbers the remaining PGs could not be validated. NPI+ was additionally able to predict a higher risk of metastases at certain distant sites. This study may indicate the NPI+ as a useful tool in predicting the risk of metastases. The NPI+ provides accurate risk stratification allowing improved individualised clinical decision making for breast cancer.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesErbB ReceptorsFemaleHumansKeratinsMiddle AgedMucin-1Neoplasm MetastasisPrognosisReceptor, ErbB-3Receptor, ErbB-4Biomarkers, TumorEGFR protein, humanERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesERBB3 protein, humanERBB4 protein, humanErbB ReceptorsKeratinsMucin-1Receptor, ErbB-3Receptor, ErbB-4Receptors, EstrogenTP53 protein, humanTumor Suppressor Protein p53Breast cancerClassificationClinicalMolecularOutcomePrognostic index

Identifiers

PMID27116185
PMCPMC4869765
OpenAlexW2344614355

What OpenQuestion holds

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LicenceCC BY-NC
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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.