Evidence map›Paper›PMID 32579551›Full record

ArticlePloS one2020

Prognostic value of the Residual Cancer Burden index according to breast cancer subtype: Validation on a cohort of BC patients treated by neoadjuvant chemotherapy.

Anne-Sophie Hamy, Lauren Darrigues, Enora Laas, Diane De Croze, Lucian Topciu, Giang-Thanh Lam, Clemence Evrevin, Sonia Rozette, Lucie Laot, Florence Lerebours and 6 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
3.9field-weighted citation impact, top 4% 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

56 citing papers in PubMed, 82 citations in OpenAlex.

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  12. Clinical Validation of Digital PCR-Based ctDNA Detection for Risk Stratification in Residual Triple-Negative Breast Cancer: TRICIA Trial Results.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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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

16 authors at 3 institutions in 2 countries.

Anne-Sophie HamyResidual Tumor & Response to Treatment Laboratory, RT2Lab, INSERM, U932 Immunity and Cancer, Institut Curie, Paris, France.
Lauren DarriguesDepartment of Surgery, Faculté de Médecine Descartes, Université Paris, Institut Curie, Paris, France.
Enora LaasDepartment of Surgery, Faculté de Médecine Descartes, Université Paris, Institut Curie, Paris, France.
Diane De CrozeDepartment of Tumor Biology, Institut Curie, Saint-Cloud, France.
Lucian TopciuDepartment of Tumor Biology, Institut Curie, Paris, France.
Giang-Thanh LamDepartment of Surgery, Faculté de Médecine Descartes, Université Paris, Institut Curie, Paris, France.
Clemence EvrevinDepartment of Medical Oncology, Institut Curie, Saint-Cloud, France.
Sonia RozetteDepartment of Medical Oncology, Institut Curie, Saint-Cloud, France.
Lucie LaotDepartment of Surgery, Faculté de Médecine Descartes, Université Paris, Institut Curie, Paris, France.
Florence LereboursDepartment of Medical Oncology, Institut Curie, Saint-Cloud, France.
Jean-Yves PiergaDepartment of Medical Oncology, Institut Curie, Saint-Cloud, France.
Marie OsdoitDepartment of Surgery, Faculté de Médecine Descartes, Université Paris, Institut Curie, Paris, France.
Matthieu FaronDepartment of biostatistics and epidemiology, INSERM 1018 CESP Oncostat team, Gustave Roussy Cancer Campus, Villejuif, France.
Jean-Guillaume FeronDepartment of Surgery, Faculté de Médecine Descartes, Université Paris, Institut Curie, Paris, France.
Marick LaéDepartment of Tumor Biology, Institut Curie, Paris, France.
Fabien ReyalDepartment of Medical Oncology, Institut Curie, Saint-Cloud, France.
Institut Curie · FRImmunité et Cancer · FRInstitut Gustave Roussy · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe Residual Cancer Burden (RCB) quantifies residual disease after neoadjuvant chemotherapy (NAC). Its predictive value has not been validated on large cohorts with long-term follow up. The objective of this work is to independently evaluate the prognostic value of the RCB index depending on BC subtypes (Luminal, HER2-positive and triple negative (TNBCs)).

methodsWe retrospectively evaluated the RCB index on surgical specimens from a cohort of T1-T3NxM0 BC patients treated with NAC between 2002 and 2012. We analyzed the association between RCB index and relapse-free survival (RFS), overall survival (OS) among the global population, after stratification by BC subtypes.

results717 patients were included (luminal BC (n = 222, 31%), TNBC (n = 319, 44.5%), HER2-positive (n = 176, 24.5%)). After a median follow-up of 99.9 months, RCB index was significantly associated with RFS. The RCB-0 patients displayed similar prognosis when compared to the RCB-I group, while patients from the RCB-II and RCB-III classes were at increased risk of relapse (RCB-II versus RCB-0: HR = 3.25 CI [2.1-5.1] p<0.001; RCB-III versus RCB-0: HR = 5.6 CI [3.5-8.9] p<0.001). The prognostic impact of RCB index was significant for TNBC and HER2-positive cancers; but not for luminal cancers (Pinteraction = 0.07). The prognosis of RCB-III patients was poor (8-years RFS: 52.7%, 95% CI [44.8-62.0]) particularly in the TNBC subgroup, where the median RFS was 12.7 months.

conclusionRCB index is a reliable prognostic score. RCB accurately identifies patients at a high risk of recurrence (RCB-III) with TNBC or HER2-positive BC who must be offered second-line adjuvant therapies.

Indexed as

AdultAgedAged, 80 and overBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesFemaleHumansMiddle AgedNeoplasm Recurrence, LocalNeoplasm, ResidualPrognosisRetrospective StudiesSurvival AnalysisTriple Negative Breast NeoplasmsERBB2 protein, humanErb-b2 Receptor Tyrosine Kinases

Identifiers

PMID32579551
PMCPMC7313974
OpenAlexW3037385414

What OpenQuestion holds

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Registered trials

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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.