Evidence map›Paper›PMID 38216819›Full record

ArticleBreast cancer research and treatment2024

Impact of body mass index on pathological response after neoadjuvant chemotherapy: results from the I-SPY 2 trial.

Haiyun Wang, Douglas Yee, David Potter, Patricia Jewett, Christina Yau, Heather Beckwith, Allison Watson, Nicholas O'Grady, Amy Wilson, Susie Brain and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Resistance to neoadjuvant chemotherapy in breast cancers: a metabolic perspective.Journal of experimental & clinical cancer research : CR · 2025
    Review
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 5 institutions in 1 country.

Haiyun WangCancer Care Associates of York, York, PA, USA.
Douglas YeeDivision of Hematology, Oncology and Transplantation, University of Minnesota, 420 Delaware St SE, MMC 480, Minneapolis, MN, 55455, USA.
David PotterDivision of Hematology, Oncology and Transplantation, University of Minnesota, 420 Delaware St SE, MMC 480, Minneapolis, MN, 55455, USA.
Patricia JewettDivision of Hematology, Oncology and Transplantation, University of Minnesota, 420 Delaware St SE, MMC 480, Minneapolis, MN, 55455, USA.
Christina YauUniversity of California San Francisco, San Francisco, USA.
Heather BeckwithDivision of Hematology, Oncology and Transplantation, University of Minnesota, 420 Delaware St SE, MMC 480, Minneapolis, MN, 55455, USA.
Allison WatsonSanford Cancer Center, Sioux Falls, SD, USA.
Nicholas O'GradyUniversity of California San Francisco, San Francisco, USA.
Amy WilsonQuantum Leap Healthcare Collaborative, San Francisco, USA.
Susie BrainUniversity of California San Francisco, San Francisco, USA.
Paula PohlmannDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA.
I-SPY 2 Trial Consortium
Anne BlaesDivision of Hematology, Oncology and Transplantation, University of Minnesota, 420 Delaware St SE, MMC 480, Minneapolis, MN, 55455, USA. blaes004@umn.edu.ORCID http://orcid.org/0000-0002-5433-4810
University of Minnesota · USUniversity of California, San Francisco · USCancerCare · USQuantum Leap Healthcare Collaborative · USThe University of Texas MD Anderson Cancer Center · US

Funding

The I SPY 2.2 TRIAL: Evolving to Imaging and Molecular Biomarker Response Directed Adaptive Sequential Treatment to Optimize Breast Cancer OutcomesP01CA210961 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Nola M. Hylton-Watson · 2017 to 2026
$22.9M
NCI NIH HHS 5P01CA210961-05NCI NIH HHS P01 CA210961
6 · The paper itself

Abstract

purposeIncreased body mass index (BMI) has been associated with poor outcomes in women with breast cancer. We evaluated the association between BMI and pathological complete response (pCR) in the I-SPY 2 trial.

methods978 patients enrolled in the I-SPY 2 trial 3/2010-11/2016 and had a recorded baseline BMI prior to treatment were included in the analysis. Tumor subtypes were defined by hormone receptor and HER2 status. Pretreatment BMI was categorized as obese (BMI ≥ 30 kg/m

resultsThe median age in the study population was 49 years. pCR rates were 32.8% in normal/underweight, 31.4% in overweight, and 32.5% in obese patients. In univariable analysis, there was no significant difference in pCR with BMI. In multivariable analysis adjusted for race/ethnicity, age, menopausal status, breast cancer subtype, and clinical stage, there was no significant difference in pCR after neoadjuvant chemotherapy for obese compared with normal/underweight patients (OR = 1.1, 95% CI 0.68-1.63, P = 0.83), and for overweight compared with normal/underweight (OR = 1, 95% CI 0.64-1.47, P = 0.88). We tested for potential interaction between BMI and breast cancer subtype; however, the interaction was not significant in the multivariable model (P = 0.09). Multivariate Cox regression showed there was no difference in EFS (P = 0.81) or OS (P = 0.52) between obese, overweight, and normal/underweight breast cancer patients with a median follow-up time of 3.8 years.

conclusionWe found no difference in pCR rates by BMI with actual body weight-based neoadjuvant chemotherapy in this biologically high-risk breast cancer population in the I-SPY2 trial.

Indexed as

Breast NeoplasmsAntineoplastic Combined Chemotherapy ProtocolsBody Mass IndexFemaleHumansMiddle AgedNeoadjuvant TherapyObesityOverweightThinnessTreatment OutcomeBody mass indexBreast cancerNeoadjuvant chemotherapyObesityPathological complete response

Identifiers

PMID38216819
PMCPMC10959799
OpenAlexW4390827526

What OpenQuestion holds

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LicenceCC BY
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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.