scholarly journals Early Assessment Window for Predicting Breast Cancer Neoadjuvant Therapy Using Biomarkers, Ultrasound, and Diffuse Optical Tomography

2020 ◽  
Author(s):  
Quing Zhu ◽  
Foluso O Ademuyiwa ◽  
Catherine Young ◽  
Catherine Appleton ◽  
Matthew F Covington ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Therapy ◽  
Optical Tomography ◽  
Diffuse Optical Tomography ◽  
Accurate Prediction ◽  
Tumor Biomarkers ◽  
Early Prediction ◽  
Percentage Reduction ◽  
Early Assessment ◽  
Er Status

Abstract Background: Neoadjuvant Therapy (NAT) permits less aggressive breast and axillary surgery and better assessment of systemic response. Establishing accurate and early predictors of NAT response would help limit morbidity of ineffective regimens through modification of treatment regimens and thereby optimize clinical outcomes. The purpose of the study was to assess the utility of tumor biomarkers, ultrasound (US) and US-guided diffuse optical tomography (DOT) in early prediction of breast cancer response to NAT.MethodsThis prospective HIPAA compliant study was approved by the institutional review board. Forty one patients were imaged with US and US-guided DOT prior to NAT, at completion of the first three treatment cycles, and prior to definitive surgery from February 2017 to January 2020. Miller-Payne grading was used to assess pathologic response. Receiver operating characteristic curves (ROCs) were derived from logistic regression using independent variables, including: tumor biomarkers, US maximum diameter, percentage reduction of the diameter (%US), pretreatment maximum total hemoglobin concentration (HbT) and percentage reduction in HbT (%HbT) at different treatment time points. Resulting ROCs were compared using area under the curve (AUC). Statistical significance was tested using two-sided two-sample student t-test with P<0.05 considered statistically significant. ResultsThirty-eight patients (mean age =47, range 24-71 years) successfully completed the study, including 15 HER2+ of which 11 were ER+; 12 ER+ or PR+/HER2-, and 11 triple negative. The combination of HER2 and ER biomarkers, %HbT at the end of cycle 1 (EOC1) and %US (EOC1) provided the best early prediction, AUC = 0.941 (95% CI: 0.869­–1.0). Similarly an AUC of 0.910 (95% CI: 0.810–1.0) with %US (EOC1) and %HbT (EOC1) can be achieved independent of HER2 and ER status. The most accurate prediction, AUC = 0.974 (95% CI: 0.933–1.0), was achieved with %US at EOC1 and %HbT (EOC3) independent of biomarker status. ConclusionThe combined use of tumor HER2 and ER status, US, and US-guided DOT may provide accurate prediction of NAT response as early as the completion of the first treatment cycle. Clinical Trial Registration number: NCT02891681Registration time: September 7, 2016https://clinicaltrials.gov/ct2/show/NCT02891681

scholarly journals Early assessment of shear wave elastography parameters foresees the response to neoadjuvant chemotherapy in patients with invasive breast cancer

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Juanjuan Gu ◽  
Eric C. Polley ◽  
Max Denis ◽  
Jodi M. Carter ◽  
Sandhya Pruthi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Shear Wave ◽  
Invasive Breast Cancer ◽  
Shear Wave Elastography ◽  
Early Prediction ◽  
Early Assessment ◽  
Significant Difference ◽  
Mass Size ◽  
Response To Neoadjuvant Chemotherapy

Abstract Background Early prediction of tumor response to neoadjuvant chemotherapy (NACT) is crucial for optimal treatment and improved outcome in breast cancer patients. The purpose of this study is to investigate the role of shear wave elastography (SWE) for early assessment of response to NACT in patients with invasive breast cancer. Methods In a prospective study, 62 patients with biopsy-proven invasive breast cancer were enrolled. Three SWE studies were conducted on each patient: before, at mid-course, and after NACT but before surgery. A new parameter, mass characteristic frequency (fmass), along with SWE measurements and mass size was obtained from each SWE study visit. The clinical biomarkers were acquired from the pre-NACT core-needle biopsy. The efficacy of different models, generated with the leave-one-out cross-validation, in predicting response to NACT was shown by the area under the receiver operating characteristic curve and the corresponding sensitivity and specificity. Results A significant difference was found for SWE parameters measured before, at mid-course, and after NACT between the responders and non-responders. The combination of Emean2 and mass size (s2) gave an AUC of 0.75 (0.95 CI 0.62–0.88). For the ER+ tumors, the combination of Emean_ratio1, s1, and Ki-67 index gave an improved AUC of 0.84 (0.95 CI 0.65–0.96). For responders, fmass was significantly higher during the third visit. Conclusions Our study findings highlight the value of SWE estimation in the mid-course of NACT for the early prediction of treatment response. For ER+ tumors, the addition of Ki-67improves the predictive power of SWE. Moreover, fmass is presented as a new marker in predicting the endpoint of NACT in responders.

scholarly journals Early prediction of pathologic response to neoadjuvant therapy in breast cancer: Systematic review of the accuracy of MRI

The Breast ◽  
2012 ◽  
Vol 21 (5) ◽  
pp. 669-677 ◽  
Author(s):  
M.L. Marinovich ◽  
F. Sardanelli ◽  
S. Ciatto ◽  
E. Mamounas ◽  
M. Brennan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Neoadjuvant Therapy ◽  
Pathologic Response ◽  
Early Prediction

Characterization of Metabolic Pathways in Breast Cancer using Diffuse Optical Tomography

2014 ◽  
Author(s):  
So Hyun Chung ◽  
Michael D. Feldman ◽  
Regine Choe ◽  
Daniel Martinez ◽  
Helen Kim ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metabolic Pathways ◽  
Optical Tomography ◽  
Diffuse Optical Tomography

Multimodal Structural Priors for Spatially-Dense Diffuse Optical Tomography of Breast Cancer

2016 ◽  
Author(s):  
Jeffrey M Cochran ◽  
Han Y Ban ◽  
David R Busch ◽  
Martin J Schweiger ◽  
Venkaiah C Kavuri ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Optical Tomography ◽  
Diffuse Optical Tomography

scholarly journals Three-dimensional in vivo fluorescence diffuse optical tomography of breast cancer in humans

2007 ◽  
Vol 15 (11) ◽  
pp. 6696 ◽  
Author(s):  
Alper Corlu ◽  
Regine Choe ◽  
Turgut Durduran ◽  
Mark A. Rosen ◽  
Martin Schweiger ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Optical Tomography ◽  
Three Dimensional ◽  
Diffuse Optical Tomography ◽  
In Vivo Fluorescence ◽  
Fluorescence Diffuse Optical Tomography

scholarly journals Identification of A 10-Gene Signature To Predict Efficacy of Neoadjuvant Therapy in Patients With HER2 Positive Breast Cancer.

2021 ◽  
Author(s):  
Yusong Wang ◽  
Mozhi Wang ◽  
Xiangyu Sun ◽  
Litong Yao ◽  
Mengshen Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Neoadjuvant Therapy ◽  
Spline Regression ◽  
Her2 Positive ◽  
Immune Infiltration ◽  
Her2 Positive Breast Cancer ◽  
Non Linear ◽  
Er Status ◽  
Positive Breast Cancer

Abstract Background:Patients with human epidermal growth factor receptor 2 (HER2) positive breast cancer represent a poor prognosis, which are recommended to be treated with neoadjuvant therapy (NAT). Tumor immune microenvironment, especially tumor infiltrating cells (TILs), are proved to predict the efficacy of NAT. However, validated immune-related multi-gene signatures for HER2-positive BC are still lacking.Methods:We collected gene expression arrays of pre-NAT samples from the National Center for Biotechnology Information Gene Expression Omnibus. Totally 4 studies are included in our study (n=295, no. of train=207, no. of validation=95) to construct the signature. Single Sample Gene Set Enrichment Analysis (ssGSEA)and weighted gene co-expression network analysis (WGCNA)were used to quantify immune-infiltrating components in tumor environment and to identify immune related modules. We used spline regression to evaluate non-linear effect of genes and to construct the signature.Results:Immune infiltration status was significantly related to pathological complete response (pCR) (p=0.02). We filtered 80 differential expression genes according to immune infiltration status, and identified two gene modules correlated to pCR and immune infiltration status. CCL5, CD72, PTGDS, CYTIP, PAX5, and estrogen receptor (ER)status were significantly related to pCR in linear multivariate analysis. In spline regression, non-linear aspects of MAP7, IL2RB, CD3G, PTPRC, TRAC were relevant to pCR. We constructed a signature concerning both linear and non-linear effects of genes, which was validated in 5-fold cross validation (AUC=0.81) and an external validation cohort (n=88) (AUC=0.797).Conclusions:In HER2 positive BC, immune infiltration status should be involved into consideration to make optimal regimens. A ten-gene generalized non-linear signature including ER status could predict the efficacy of NAT.

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