Evidence map›Paper›PMID 26395345›Full record

ArticleBreast cancer research : BCR2015

An ecological measure of immune-cancer colocalization as a prognostic factor for breast cancer.

Carlo C Maley, Konrad Koelble, Rachael Natrajan, Athena Aktipis, Yinyin Yuan

Abstract read
In one paragraph

Article in Breast cancer research : BCR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 1 pooled it
–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

71 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. The consensus molecular subtypes of esophageal squamous cell carcinoma.Signal transduction and targeted therapy · 2026
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  16. Spatial Multiplexing and Omics.Nature reviews. Methods primers · 2024
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11 more citing papers are in PubMed but not listed here.

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

5 authors.

Carlo C MaleyCentre for Evolution and Cancer, The Institute of Cancer Research, London, UK. Maley@asu.edu.
Konrad KoelbleDivision of Breast Cancer, The Institute of Cancer Research, London, UK. Konrad.Koelble@icr.ac.uk.
Rachael NatrajanDivision of Breast Cancer, The Institute of Cancer Research, London, UK. Rachael.Natrajan@icr.ac.uk.
Athena AktipisCentre for Evolution and Cancer, The Institute of Cancer Research, London, UK. Aktipis@asu.edu.
Yinyin YuanCentre for Evolution and Cancer, The Institute of Cancer Research, London, UK. Yinyin.Yuan@icr.ac.uk.

Funding

PHYLOGENIES of Barrett's Esophagus LineagesP01CA091955 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GRADY, WILLIAM MALLORY · 2002 to 2019
$35.9M
Modeling Neoplastic Progression in Barrett's Esophagus - Renewal -2R01CA140657 · NCI · WISTAR INSTITUTE · PI Carlo Maley · 2009 to 2026
$5.0M
Stem Cells, Differentiation and Therapeutic Resistance in AMLR01CA149566 · NCI · UNIVERSITY OF PENNSYLVANIA · PI CARROLL, MARTIN · 2011 to 2015
$3.0M
Application of Evolutionary Principles to Maintain Cancer Control (PQ21)R01CA170595 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI GATENBY, ROBERT A · 2012 to 2015
$2.1M
(PQC3) Genomic Diversity and Microenvironment as Drivers of Metastasis in DCISR01CA185138 · NCI · DUKE UNIVERSITY · PI HWANG, E.SHELLEY, MALEY, CARLO · 2014 to 2017
$2.0M
Modeling causes and consequences of the evolution of cell motility in neoplasmsF32CA144331 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AKTIPIS, CHRISTINA ATHENA · 2010 to 2012
$159k
Breast Cancer Now 2011MAYSF01NCI NIH HHS F32 CA144331NCI NIH HHS P01 CA091955NCI NIH HHS P01 CA91955NCI NIH HHS R01 CA140657NCI NIH HHS R01 CA149566NCI NIH HHS R01 CA170595NCI NIH HHS R01 CA185138Wellcome Trust 105104Wellcome Trust 105104/Z/14/Z
6 · The paper itself

Abstract

introductionAbundance of immune cells has been shown to have prognostic and predictive significance in many tumor types. Beyond abundance, the spatial organization of immune cells in relation to cancer cells may also have significant functional and clinical implications. However there is a lack of systematic methods to quantify spatial associations between immune and cancer cells.

methodsWe applied ecological measures of species interactions to digital pathology images for investigating the spatial associations of immune and cancer cells in breast cancer. We used the Morisita-Horn similarity index, an ecological measure of community structure and predator-prey interactions, to quantify the extent to which cancer cells and immune cells colocalize in whole-tumor histology sections. We related this index to disease-specific survival of 486 women with breast cancer and validated our findings in a set of 516 patients from different hospitals.

resultsColocalization of immune cells with cancer cells was significantly associated with a disease-specific survival benefit for all breast cancers combined. In HER2-positive subtypes, the prognostic value of immune-cancer cell colocalization was highly significant and exceeded those of known clinical variables. Furthermore, colocalization was a significant predictive factor for long-term outcome following chemotherapy and radiotherapy in HER2 and Luminal A subtypes, independent of and stronger than all known clinical variables.

conclusionsOur study demonstrates how ecological methods applied to the tumor microenvironment using routine histology can provide reproducible, quantitative biomarkers for identifying high-risk breast cancer patients. We found that the clinical value of immune-cancer interaction patterns is highly subtype-specific but substantial and independent to known clinicopathologic variables that mostly focused on cancer itself. Our approach can be developed into computer-assisted prediction based on histology samples that are already routinely collected.

Indexed as

AdultAgedAged, 80 and overBreast NeoplasmsEcosystemErb-b2 Receptor Tyrosine KinasesFemaleHumansKaplan-Meier EstimateLymphocytes, Tumor-InfiltratingMiddle AgedModels, BiologicalMultivariate AnalysisPrognosisProportional Hazards ModelsYoung AdultERBB2 protein, humanErb-b2 Receptor Tyrosine Kinases

Identifiers

PMID26395345
PMCPMC4579663

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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.