Evidence map›Paper›PMID 31002322›Full record

ArticleJAMA network open2019

Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy for HER2 (ERBB2)-Positive Breast Cancer.

Nathaniel Braman, Prateek Prasanna, Jon Whitney, Salendra Singh, Niha Beig, Maryam Etesami, David D B Bates, Katherine Gallagher, B Nicolas Bloch, Manasa Vulchi and 10 more

Registry-linked trialAbstract readEvaluation Study
In one paragraph

Article in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06854107 (Intratumoral and Peritumoral Habitat Radiomics of MRI Predict Pathologic Complete Response to Neoadjuvant Chemoimmunotherapy in Oral Squamous Cell Carcinoma), which is not on this map. Cited by 205 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
205citing papers in PubMed, 3 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.

NCT06854107 completednot on this mapstarted 2023, after this paper: background citation

Intratumoral and Peritumoral Habitat Radiomics of MRI Predict Pathologic Complete Response to Neoadjuvant Chemoimmunotherapy in Oral Squamous Cell Carcinoma

TypeobservationalSponsorZilong YuanRan2023 to 2023Enrolled225ConditionsPathologic Complete Response
3 · Its place in the literature

Who cites it

205 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

145 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

20 authors.

Nathaniel BramanDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio.
Prateek PrasannaDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio.
Jon WhitneyDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio.
Salendra SinghCase Comprehensive Cancer Center, Case Western Reserve University, Cleveland, Ohio.
Niha BeigDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio.
Maryam EtesamiDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut.
David D B BatesDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
Katherine GallagherDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
B Nicolas BlochDepartment of Radiology, Boston Medical Center, Boston, Massachusetts.
Manasa VulchiDepartment of Hematology and Medical Oncology, The Cleveland Clinic, Cleveland, Ohio.
Paulette TurkDepartment of Diagnostic Radiology, The Cleveland Clinic, Cleveland, Ohio.
Kaustav BeraDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio.
Jame AbrahamDepartment of Hematology and Medical Oncology, The Cleveland Clinic, Cleveland, Ohio.
William M SikovProgram in Women's Oncology, Women and Infants Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island.
George SomloDepartment of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, California.
Lyndsay N HarrisCase Comprehensive Cancer Center, Case Western Reserve University, Cleveland, Ohio.
Hannah GilmoreDepartment of Pathology, University Hospitals Cleveland Medical Center, Cleveland, Ohio.
Donna PlechaDepartment of Radiology, University Hospitals Cleveland Medical Center, Cleveland, Ohio.
Vinay VaradanCase Comprehensive Cancer Center, Case Western Reserve University, Cleveland, Ohio.
Anant MadabhushiDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio.

Funding

Role of MYC-MIZ1 signaling and the inflammatory immune microenvironment in Triple-Negative Breast Cancer Racial DisparitiesP20CA233216 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI VARADAN, VINAY · 2018 to 2021
$3.6M
Computerized histologic image predictor of cancer outcomeR01CA202752 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI FELDMAN, MICHAEL D, GANESAN, SHRIDAR · 2016 to 2020
$3.1M
Quantitative Histomorphometric Risk Classifier (QuHbIC) in HPV + Oropharyngeal CarcinomaR01CA220581 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI KOYFMAN, SHLOMO, LEWIS, JAMES · 2018 to 2023
$3.1M
Computerized Histologic Risk Predictor (CHiRP) for Early Stage Lung CancersR01CA216579 · NCI · EMORY UNIVERSITY · PI FU, PINGFU, LLOYD, MARK · 2018 to 2023
$3.1M
MR Fingerprinting and Computerized Decision Support for Prostate CancerR01CA208236 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GULANI, VIKAS, PONSKY, LEE EVAN · 2017 to 2022
$3.0M
Pathology Image Informatics Platform for visualization, analysis and managementU24CA199374 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI GURCAN, METIN NAFI, MADABHUSHI, ANANT · 2015 to 2019
$2.9M
Systems biology frameworks to unravel mechanisms driving complex disordersK25DK115904 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI VARADAN, VINAY · 2019 to 2021
$515k
Radiogenomic tools for prediction of breast cancer neo-adjuvant chemotherapy response from pre-treatment MRIF31CA221383 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI BRAMAN, NATHANIEL · 2018 to 2019
$85k
RadIO: A Novel Radiomics Toolkit to Predict and Characterize Response to Immunotherapy in Stage III Non-Small Cell Lung CancerI01BX004121 · VA · VETERANS HEALTH ADMINISTRATION · PI Anant Madabhushi, Charles J Nock · 2019 to 2026
–
BLRD VA I01 BX004121NCI NIH HHS F31 CA221383NCI NIH HHS P20 CA233216NCI NIH HHS R01 CA202752NCI NIH HHS R01 CA208236NCI NIH HHS R01 CA216579NCI NIH HHS R01 CA220581NIDDK NIH HHS K25 DK115904
6 · The paper itself

Abstract

Importance: There has been significant recent interest in understanding the utility of quantitative imaging to delineate breast cancer intrinsic biological factors and therapeutic response. No clinically accepted biomarkers are as yet available for estimation of response to human epidermal growth factor receptor 2 (currently known as ERBB2, but referred to as HER2 in this study)-targeted therapy in breast cancer. Objective: To determine whether imaging signatures on clinical breast magnetic resonance imaging (MRI) could noninvasively characterize HER2-positive tumor biological factors and estimate response to HER2-targeted neoadjuvant therapy. Design, Setting, and Participants: In a retrospective diagnostic study encompassing 209 patients with breast cancer, textural imaging features extracted within the tumor and annular peritumoral tissue regions on MRI were examined as a means to identify increasingly granular breast cancer subgroups relevant to therapeutic approach and response. First, among a cohort of 117 patients who received an MRI prior to neoadjuvant chemotherapy (NAC) at a single institution from April 27, 2012, through September 4, 2015, imaging features that distinguished HER2+ tumors from other receptor subtypes were identified. Next, among a cohort of 42 patients with HER2+ breast cancers with available MRI and RNaseq data accumulated from a multicenter, preoperative clinical trial (BrUOG 211B), a signature of the response-associated HER2-enriched (HER2-E) molecular subtype within HER2+ tumors (n = 42) was identified. The association of this signature with pathologic complete response was explored in 2 patient cohorts from different institutions, where all patients received HER2-targeted NAC (n = 28, n = 50). Finally, the association between significant peritumoral features and lymphocyte distribution was explored in patients within the BrUOG 211B trial who had corresponding biopsy hematoxylin-eosin-stained slide images. Data analysis was conducted from January 15, 2017, to February 14, 2019. Main Outcomes and Measures: Evaluation of imaging signatures by the area under the receiver operating characteristic curve (AUC) in identifying HER2+ molecular subtypes and distinguishing pathologic complete response (ypT0/is) to NAC with HER2-targeting. Results: In the 209 patients included (mean [SD] age, 51.1 [11.7] years), features from the peritumoral regions better discriminated HER2-E tumors (maximum AUC, 0.85; 95% CI, 0.79-0.90; 9-12 mm from the tumor) compared with intratumoral features (AUC, 0.76; 95% CI, 0.69-0.84). A classifier combining peritumoral and intratumoral features identified the HER2-E subtype (AUC, 0.89; 95% CI, 0.84-0.93) and was significantly associated with response to HER2-targeted therapy in both validation cohorts (AUC, 0.80; 95% CI, 0.61-0.98 and AUC, 0.69; 95% CI, 0.53-0.84). Features from the 0- to 3-mm peritumoral region were significantly associated with the density of tumor-infiltrating lymphocytes (R2 = 0.57; 95% CI, 0.39-0.75; P = .002). Conclusions and Relevance: A combination of peritumoral and intratumoral characteristics appears to identify intrinsic molecular subtypes of HER2+ breast cancers from imaging, offering insights into immune response within the peritumoral environment and suggesting potential benefit for treatment guidance.

Indexed as

AdultBiomarkers, TumorBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesFemaleHumansLymphocytes, Tumor-InfiltratingMagnetic Resonance ImagingMiddle AgedNeoadjuvant TherapyPreoperative PeriodRadiometryRetrospective StudiesTreatment OutcomeBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine Kinases

Identifiers

PMID31002322
PMCPMC6481453

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.