The predictive role of metabolic tumor volume on no response to neoadjuvant chemotherapy in patients with breast cancer

2020 ◽  
Vol 26 (6) ◽  
pp. 1415-1420
Author(s):  
Serdar Arici ◽  
Sevda S Karyagar ◽  
Savas Karyagar ◽  
Caglayan Geredeli ◽  
Ruhper Cekin ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Tumor Volume ◽  
Growth Factor Receptor ◽  
Metabolic Tumor Volume ◽  
Pathologic Response ◽  
Pathological Response ◽  
Number Of Patients ◽  
Study Results ◽  
Response Group

Introduction To evaluate the predictive significance of pretreatment metabolic tumor volume on pathologic response in patients who received neoadjuvant chemotherapy for breast cancer. Methods Seventy patients who received neoadjuvant chemotherapy between 2013 and 2017 years were enrolled in the study. Pathologic responses and 18-fluorodeoxyglucose positron emission tomography/computed tomography metabolic dates of patients were obtained from archive files. Results Forty-six (65.7%) patients were in stage II and 24 (34.3%) patients were in stage III; 25 (35.7%) patients were human epidermal growth factor receptor 2 positive, 46 (65.7%) patients were estrogen receptor-positive, 26 (37.1%) patients were progesterone receptor-positive. According to the Miller-Payne grading system, 24 (34.3%) patients constituted 100% pathological response; patients with 91–99% pathological response were 12 (17.1%), the number of patients with non-pathologic response was 6 (8.6%). Median metabolic tumor volume was 7.3 cm3 (7.1 ± 3.5), 8.8 (11.4 ± 9.4), 7.7 (8.3 ± 4.6) and 22 cm3 (19.8 ± 11.0) in patients with stages IIA, IIB, IIIA, and IIIB, respectively ( p = 0.032). In Miller-Payne grading, the median metabolic tumor volume value was higher in patients with no pathologic response group than 100% response group ( p = 0.003). The cut-off metabolic tumor volume value determining no pathologic response was calculated as higher than 13.62 cm3 (sensitivity 83.3% and specificity 82.8%). Conclusions Our study results suggest that higher pretreatment metabolic tumor volume values are predictive on no pathologic response in patients treated with neoadjuvant chemotherapy for breast cancer.

MRI tumor volume for predicting response to neoadjuvant chemotherapy in locally advanced breast cancer: Findings from ACRIN 6657/CALGB 150007

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 529-529
Author(s):  
N. Hylton ◽  
J. Blume ◽  
C. Gatsonis ◽  
R. Gomez ◽  
W. Bernreuter ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Advanced Breast Cancer ◽  
Tumor Size ◽  
Tumor Volume ◽  
Locally Advanced Breast Cancer ◽  
Locally Advanced ◽  
Pathologic Response ◽  
Advanced Breast ◽  
Tumor Diameter

529 Background: American College of Radiology Imaging Network (ACRIN) trial 6657, the imaging component of the I-SPY trial (CALGB 150007/150012), is testing MRI for predicting response to treatment and stratifying risk-of-recurrence in patients with locally-advanced breast cancer. We report preliminary results evaluating MRI for prediction of pathologic response. Methods: Women with ≥3 cm invasive breast cancer receiving neoadjuvant chemotherapy (NACT) with anthracycline-cyclophosphamide (AC) followed by a taxane (T) were enrolled from May 2002 to March 2006. MRI was performed prior to NACT (t1), after 1 cycle AC (t2), between AC and T (t3), and following T prior to surgery (t4). MRI tumor size assessments included longest diameter (MRLD) and tumor volume (MRVol). Clinical size (clinsize) and mammographic longest diameter (MGLD) were also recorded. Linear dimension was measured by the radiologist for MGLD and MRLD; MRVol was calculated by computer using signal enhancement ratio (SER) thresholds. Change in clinical and MRI variables at t2 were compared for ability to predict pathologic complete response (pCR). Results: 237 patients were enrolled at 9 institutions. 216 patients with complete imaging were analyzed. Of tumor size measurements at t4, MRVol showed the strongest correlation with pathsize among clinsize (r = 0.44), MGLD (ns), MRLD (r = 0.28) and MRVol (r = 0.61). Early change in MRVol measured at t2 was the only variable predictive of pCR among clinsize (p = 0.14, 0.15), MRLD (p = 0.40, 0.07), MRVol (p = 0.02, 0.01) and peak SER (p = 0.53, 0.72) in univariate and multivariate logistic regression, respectively. Conclusions: Tumor response measured volumetrically by MRI is a stronger and earlier predictor of pathologic response after NACT than clinical exam or tumor diameter. This work is funded by NIH/ACRIN U01 CA79778; CALGB CA31946, CA33601; NCI SPORE CA58207. [Table: see text]

scholarly journals Evaluation of Pathological Response in Post-Neoadjuvant Chemotherapy Breast Carcinoma Specimens using Residual Cancer Burden System

2021 ◽  
Author(s):  
Lakshmi Manasa Perubhotla ◽  
Suseela Kodandapani ◽  
Sudha S Murthy
Keyword(s):  
Breast Cancer ◽  
Breast Carcinoma ◽  
Neoadjuvant Chemotherapy ◽  
Residual Disease ◽  
Pathologic Response ◽  
Pathological Response ◽  
Residual Cancer ◽  
Cancer Burden ◽  
Residual Cancer Burden ◽  
Md Anderson

Introduction: Many systems have been proposed to classify the degree of tumour response to therapy in post-neoadjuvant Chemotherapy (NACT) breast cancers. The Residual Cancer Burden (RCB) developed by MD Anderson cancer hospital is an online tool for the quantification of residual disease that is easy to practice, reproducible, and the RCB score has been clinically validated as independent prognostic factor for long-term survival. Aim: To evaluate the methodology for grossing and microscopic examination for assessing pathologic response in postNACT breast cancer specimens using RCB system developed by MD Anderson cancer institute and its feasibility for routine practice. Materials and Methods: The present cross-sectional study was conducted in Basavatarakam Indo American Cancer Hospital and Research Institute Hyderabad over a duration of three months from May 2018 to July 2018. Histologically proven breast carcinoma patients who were treated with both NACT and surgery were included in the study. Before surgery, these patients were treated with either anthracycline-based chemotherapy regimen with or without additional taxanes or targeted therapy with transtuzumab. RCB score and class were calculated to assess pathologic response to NACT. Analysis was performed individually by two senior pathologists, who has expertise in breast pathology and a junior pathologist. Consensus opinion was noted in case of discrepancies. Results: The study included 50 carcinoma breast specimens. All the cases werefemales. 49 cases were diagnosed as invasive carcinoma, No Special Type (NST) and one was lobular carcinoma. pCR (Pathological complete response) was seen in 9 (18%) and residual disease was seen in 41 (82%) patients. Conclusion: The present study highlights feasibility of application of RCB system in assessing pathological response following NACT in breast cancer. Incorporating RCB score and class in the reporting helps the surgical pathologist to overcome sampling errors caused by heterogeneously variable cellularity commonly encountered in these type of specimens.

scholarly journals Anthracycline-containing versus carboplatin-containing neoadjuvant chemotherapy in combination with trastuzumab for HER2-positive breast cancer: the neoCARH phase II randomized clinical trial

2021 ◽  
Vol 13 ◽  
pp. 175883592110090
Author(s):  
Hong-Fei Gao ◽  
Zhiyong Wu ◽  
Ying Lin ◽  
Xiang-Yang Song ◽  
Yin Cao ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Primary Endpoint ◽  
Growth Factor Receptor ◽  
Group Versus ◽  
Complete Response ◽  
Her2 Positive ◽  
Her2 Positive Breast Cancer ◽  
Epidermal Growth ◽  
Positive Breast Cancer

Background: Although dual blockade HER2-based neoadjuvant chemotherapy is associated with excellent outcomes for human epidermal growth factor receptor 2 (HER2)-positive breast cancer, pertuzumab is not available to all patients due to cost. The optimal neoadjuvant chemotherapy for HER2-positive breast cancer in the presence of a single HER2 blockade is unknown. This study aimed to compare the efficacy and safety of epirubicin/cyclophosphamide followed by docetaxel/trastuzumab (EC-TH) with docetaxel/carboplatin/trastuzumab (TCH) neoadjuvant setting for HER2-positive breast cancer under the single HER2 blockade. Methods: Patients with stage II-IIIC HER2-positive breast cancer were randomly assigned to either eight cycles of EC-TH every 3 weeks during all chemotherapy cycles, or six cycles of TCH every 3 weeks. The primary endpoint was pathological complete response (pCR) (defined as the absence of invasive tumor cells in breast and axilla, ypT0/is ypN0). Results: From May 2017 to November 2019, 140 patients were randomly assigned, and 135 patients were ultimately found evaluable for the primary endpoint. The pCR was recorded in 25 of 67 patients [37.3%; 95% confidence interval (CI), 25.8–50.0] in the EC-TH group and in 38 of 68 patients (55.9%, 95% CI, 43.3–67.9) in the TCH group ( p = 0.032). The most common adverse events (AEs) were neutropenia in 24 of 67 (35.8%) patients in the EC-TH group versus 27 of 68 (39.7%) in the TCH group ( p = 0.642), anemia in 33 of 67 (49.3%) patients in the EC-TH group versus 34 of 68 (50.0%) in the TCH group ( p = 0.931), and thrombocytopenia in five of 67 (7.5%) patients in the EC-TH group versus 17 of 68 (25.0%) in the TCH group ( p = 0.006). Conclusion: For patients receiving the single HER2 blockade trastuzumab for HER2-positive breast cancer, TCH regimen might be a preferred neoadjuvant therapy. Trial registration: This trial was registered with ClinicalTrials.gov identifier: NCT03140553) on 2 May 2017.

The value of tumor-infiltrating lymphocytes and CD8 expression as a predictor of response to anthracycline-based neoadjuvant chemotherapy in invasive breast carcinoma of no special type

2021 ◽  
pp. 1-6
Author(s):  
Upik A. Miskad ◽  
Rizki A. Rifai ◽  
Rina Masadah ◽  
Berti Nelwan ◽  
Djumadi Ahmad ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Immune System ◽  
Breast Carcinoma ◽  
Neoadjuvant Chemotherapy ◽  
Predictive Value ◽  
Disease Free Survival ◽  
Tumor Infiltrating Lymphocytes ◽  
Invasive Breast Carcinoma ◽  
Study Results ◽  
Infiltrating Lymphocytes

BACKGROUND: The immune system is known to play an important role in tumor cell eradication. Although cancer cells were able to escape from the immune system, many studies showed mononuclear inflammatory cell infiltrates known as tumor-infiltrating lymphocytes (TILs) on breast cancer histopathology specimens showed better prognosis, including in disease-free survival (DFS) and chemotherapy responses. OBJECTIVE: This study aimed to reveal the predictive value of tumor-infiltrating lymphocytes (TILs) levels and CD8 expression in invasive breast carcinoma of no special type patients’ samples on response to anthracycline-based neoadjuvant chemotherapy. METHODS: 75 pre-treatment biopsy samples that were diagnosed as invasive breast carcinoma of no special type were evaluated. TILs level determined following recommendations of International TILs Working Group 2014, CD8 expression assessed semiquantitatively after immunohistochemistry staining. Response to anthracycline-based neoadjuvant chemotherapy evaluated clinically using Response Evaluation Criteria in Solid Tumours (RECIST) criteria and pathologically by evaluating hematoxylin and eosin (H&E)-stained slides from mastectomy specimens after 3 or 4 cycles of neoadjuvant chemotherapy. RESULTS: Chi-squared analysis showed a significant relationship between TILs level and CD8 expression with chemotherapy responses clinically (p = 0.011 and p = 0.017 respectively) but not pathologically. Furthermore, the logistic regression test exhibit the predictive value of TILs level was 66.7% and CD8 expression was 64%. CONCLUSIONS: This study results suggest that TILs level and CD8 expression may be added as predictive factors to the response of anthracycline-based neoadjuvant chemotherapy, and oncologists may take benefit in breast cancer patient’s management.

scholarly journals Prediction of Chemoresistance in Women Undergoing Neo-Adjuvant Chemotherapy for Locally Advanced Breast Cancer: Volumetric Analysis of First-Order Textural Features Extracted from Multiparametric MRI

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
M. M. Panzeri ◽  
C. Losio ◽  
A. Della Corte ◽  
E. Venturini ◽  
A. Ambrosi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Advanced Breast Cancer ◽  
Locally Advanced Breast Cancer ◽  
Locally Advanced ◽  
Volumetric Analysis ◽  
Pathological Response ◽  
Advanced Breast ◽  
Washout Rate ◽  
First Order

Purpose. To assess correlations between volumetric first-order texture parameters on baseline MRI and pathological response after neoadjuvant chemotherapy (NAC) for locally advanced breast cancer (BC). Materials and Methods. 69 patients with locally advanced BC candidate to neoadjuvant chemotherapy underwent MRI within 4 weeks from the start of therapeutic regimen. T2, DWI, and DCE sequences were analyzed and maps were generated for Apparent Diffusion Coefficient (ADC), T2 signal intensity, and the following dynamic parameters: k-trans, peak enhancement, area under curve (AUC), time to maximal enhancement (TME), wash-in rate, and washout rate. Volumetric analysis of these parameters was performed, yielding a histogram analysis including first-order texture kinetics (percentiles, maximum value, minimum value, range, standard deviation, mean, median, mode, skewness, and kurtosis). Finally, correlations between these values and response to NAC (evaluated on the surgical specimen according to RECIST 1.1 criteria) were assessed. Results. Out of 69 tumors, 33 (47.8%) achieved complete pathological response, 26 (37.7%) partial response, and 10 (14.5%) no response. Higher levels of AUCmax (p value = 0.0338), AUCrange (p value = 0.0311), and TME75 (p value = 0.0452) and lower levels of washout10 (p value = 0.0417), washout20 (p value = 0.0138), washout25 (p value = 0.0114), and washout30 (p value = 0.05) were predictive of noncomplete response. Conclusion. Histogram-derived texture analysis of MRI images allows finding quantitative parameters predictive of nonresponse to NAC in women affected by locally advanced BC.

scholarly journals Cancer-Associated Fibroblasts in Breast Cancer Treatment Response and Metastasis

Cancers ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 3146
Author(s):  
Patricia Fernández-Nogueira ◽  
Gemma Fuster ◽  
Álvaro Gutierrez-Uzquiza ◽  
Pere Gascón ◽  
Neus Carbó ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Hormone Receptors ◽  
Treatment Strategies ◽  
Specific Treatment ◽  
Growth Factor Receptor ◽  
Cancer Associated Fibroblasts ◽  
Luminal A ◽  
Luminal B ◽  
Number Of Patients ◽  
Current Therapies

Breast cancer (BrCa) is the leading cause of death among women worldwide, with about one million new cases diagnosed each year. In spite of the improvements in diagnosis, early detection and treatment, there is still a high incidence of mortality and failure to respond to current therapies. With the use of several well-established biomarkers, such as hormone receptors and human epidermal growth factor receptor-2 (HER2), as well as genetic analysis, BrCa patients can be categorized into multiple subgroups: Luminal A, Luminal B, HER2-enriched, and Basal-like, with specific treatment strategies. Although chemotherapy and targeted therapies have greatly improved the survival of patients with BrCa, there is still a large number of patients who relapse or who fail to respond. The role of the tumor microenvironment in BrCa progression is becoming increasingly understood. Cancer-associated fibroblasts (CAFs) are the principal population of stromal cells in breast tumors. In this review, we discuss the current understanding of CAFs’ role in altering the tumor response to therapeutic agents as well as in fostering metastasis in BrCa. In addition, we also review the available CAFs-directed molecular therapies and their potential implications for BrCa management.

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