The natural history of untreated estrogen receptor-positive, Her2-negative invasive breast cancer.


Journal

Breast cancer research and treatment
ISSN: 1573-7217
Titre abrégé: Breast Cancer Res Treat
Pays: Netherlands
ID NLM: 8111104

Informations de publication

Date de publication:
Jul 2020
Historique:
received: 15 11 2019
accepted: 02 05 2020
pubmed: 14 5 2020
medline: 5 1 2021
entrez: 14 5 2020
Statut: ppublish

Résumé

Using prior mammograms from patients with delays in their breast cancer diagnoses, we sought to describe in-vivo growth kinetics of untreated breast cancer to determine if the time they became clinically apparent can be predicted. Patient and tumor characteristics were collected from those who presented with "missed," untreated breast cancer to a breast center in a single institution. Only patients whose biopsied masses revealed estrogen receptor-positive, Her2-negative (ER+/Her2-) invasive cancers were included. Two attending radiologists reviewed images from prior mammograms. Rates of change in volume were calculated in mm Of the 36 ER+/Her2- invasive breast cancers included in the analysis, 13 (36%) were at least cT2 (of TNM), 7 (19%) were grade 3, and 7 (19%) were node positive at diagnosis. Grade (p = 0.043) and pathologic invasive tumor size (p = 0.001) were positively correlated to tumor growth velocity. Median TVDT was 385 days (23-1897). Age, nodal positivity, Oncotype Dx® Recurrence Score, time of diagnostic delay, and spheroid-ellipsoid discrepancy (SED) were not related to tumor growth velocity in this sample. In this cohort of patients with untreated ER+/Her2- invasive breast cancers, grade and pathologic tumor size were found to be positively correlated to growth velocity. The growth rates in a homogeneous group of tumors varied widely and could not be predicted. One possible explanation for this finding is that other difficult-to-measure biologic factors such as tumor microenvironment may play a greater role in tumor progression than traditional clinicopathologic characteristics.

Sections du résumé

BACKGROUND BACKGROUND
Using prior mammograms from patients with delays in their breast cancer diagnoses, we sought to describe in-vivo growth kinetics of untreated breast cancer to determine if the time they became clinically apparent can be predicted.
METHODS METHODS
Patient and tumor characteristics were collected from those who presented with "missed," untreated breast cancer to a breast center in a single institution. Only patients whose biopsied masses revealed estrogen receptor-positive, Her2-negative (ER+/Her2-) invasive cancers were included. Two attending radiologists reviewed images from prior mammograms. Rates of change in volume were calculated in mm
RESULTS RESULTS
Of the 36 ER+/Her2- invasive breast cancers included in the analysis, 13 (36%) were at least cT2 (of TNM), 7 (19%) were grade 3, and 7 (19%) were node positive at diagnosis. Grade (p = 0.043) and pathologic invasive tumor size (p = 0.001) were positively correlated to tumor growth velocity. Median TVDT was 385 days (23-1897). Age, nodal positivity, Oncotype Dx® Recurrence Score, time of diagnostic delay, and spheroid-ellipsoid discrepancy (SED) were not related to tumor growth velocity in this sample.
CONCLUSION CONCLUSIONS
In this cohort of patients with untreated ER+/Her2- invasive breast cancers, grade and pathologic tumor size were found to be positively correlated to growth velocity. The growth rates in a homogeneous group of tumors varied widely and could not be predicted. One possible explanation for this finding is that other difficult-to-measure biologic factors such as tumor microenvironment may play a greater role in tumor progression than traditional clinicopathologic characteristics.

Identifiants

pubmed: 32399743
doi: 10.1007/s10549-020-05666-7
pii: 10.1007/s10549-020-05666-7
doi:

Substances chimiques

Receptors, Estrogen 0
ERBB2 protein, human EC 2.7.10.1
Receptor, ErbB-2 EC 2.7.10.1

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

79-83

Auteurs

Kristin E Rojas (KE)

Department of Surgery, Maimonides Medical Center, Brooklyn, USA. kristinrojasmd@gmail.com.

Donna-Marie Manasseh (DM)

Department of Surgery, Maimonides Medical Center, Brooklyn, USA.

Mary Rojas (M)

Department of Medical Education, Icahn School of Medicine at Mount Sinai, New York, USA.

Andrea Mattocks (A)

Breast Imaging, Brigham and Women's Hospital, Boston, USA.

Leah Portnow (L)

Breast Imaging, Brigham and Women's Hospital, Boston, USA.

Sarah Kantharia (S)

Department of Radiology, Maimonides Medical Center, Brooklyn, USA.

Natalie Zelenko (N)

Department of Radiology, Maimonides Medical Center, Brooklyn, USA.

Christina Giuliano (C)

Department of Radiology, Maimonides Medical Center, Brooklyn, USA.

Patrick I Borgen (PI)

Department of Surgery, Maimonides Medical Center, Brooklyn, USA.

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Classifications MeSH