scholarly journals Comparison of 3D-CT Lymphography Images before and after Neoadjuvant Chemotherapy for Breast Cancer

Author(s):  
Ryoichi KONDO ◽  
Tomoyuki FUJITA ◽  
Hajime NISHIMURA ◽  
Noriaki KAMEDA ◽  
Minoru FUJIMORI
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Heba F. Taha ◽  
Ola M. Elfarargy ◽  
Reham A. Salem ◽  
Doaa Mandour ◽  
Amira A. Salem ◽  
...  

Abstract Background Introducing neoadjuvant chemotherapy (NCT) in a breast cancer patient may be associated with changes in estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth hormone receptor 2 (HER2) status. Method In our prospective cohort study, we evaluated the impact of change in estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth hormone receptor 2 (HER2) on the prognosis of breast cancer patients treated with neoadjuvant chemotherapy (NCT). We investigated 110 patients with locally advanced breast cancer for ER, PR and HER2 status of their lesions before and after NCT. Result For hormone receptor status (HR) (which include ER, PR) of the residual tumor of the patients after receiving NCT, 12 (10.9%) of them changed from HR (+) to HR (−) and 15 (13.6%) changed from HR (−) to HR (+). For HER2 status after NCT, 8 (7.3%) patients changed from HER2 (+) to HER2 (−) and 9 (8.2%) patients changed from HER2 (−) to HER2 (+). Triple negative (TN) tumor phenotype changes occurred in 17 (15.5%) patients. Patients for whom the HR status changed from positive to negative had poor prognosis for both disease-free survival (DFS) and overall survival (OS) in univariate survival analysis. Conclusion Changes in ER, PR, HER2 status and tumor phenotype in breast cancer patients after NCT had a negative prognostic impact and were associated with a poor prognosis.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e12605-e12605
Author(s):  
Alexander Philipovskiy ◽  
Sumit Gaur ◽  
Karen Chambers ◽  
Roberto Gamez ◽  
Renato Aguilera ◽  
...  

e12605 Background: Triple-negative breast cancer (TNBC) is a heterogeneous subtype of breast cancer (BC) characterized by the absence of targetable receptors. Traditionally, neoadjuvant chemotherapy (NACT) has been used to downstage the tumors and increase the chance for breast-conserving surgery. The pathological complete response (pCR) has been traditionally considering the best predictive marker for the disease recurrence. Patients with residual disease (RD) have a poor prognosis with a high risk of recurrence, and therefore additional chemotherapy was recommended. Therefore it is an important task for clinical researchers to identify markers to predict the individual tumor response to chemotherapy and avoid in patients potentially resistant tumors. Instead, a surgical approach can be used or combined approach with chemotherapy and immunotherapy. It is not clear yet which approach is optimal for those patients with chemotherapy-resistant tumors since there is no clinical data available and no clinical tool that helps predict the individual tumor response. In this study, we examined breast ultrasound(US) images of patients before and after the completion of NACT and correlated with response to chemotherapy. To better understand the biology of resistance to chemotherapy, we also analyzed the gene expression profile of 15 patients with RD after NACT. Methods: In this study, we retrospective analyzed breast US data from 37 Hispanic patients diagnosed with TNBC and treated with NACT. Patients underwent breast US before and after NACT with documentation of clinical complete response (cCR) or clinical residual disease (cRD). Post-operatively, the pathologic response was defined as the absence of tumor cells (pCR) or presence of residual invasive tumor (RD). A multivariable logistic regression model assessed the influence of patient- and tumor-associated covariates as predictors for pCR. Also, we analyzed formalin-fixed paraffin-embedded tumor samples from 15 patients with RD after NACT. Results: Seventeen patients (45.9%) achieved pCR, and twenty (54.1%) had RD after NACT. The most common US findings connected with RD was the deposition of calcium before NACT six (30%) patients. Gene expression analysis of RD samples identified 446 upregulated and 275 downregulated genes. Among commonly upregulated genes related to cancer, we identified GLI1, IGF1, SERPINE1, ATF3, KLK 5; 7, and TUBB2b, and genes belonging to pathways encoding extracellular matrix–related proteins, DNA-damage response proteins, and pathways related to resistance to chemotherapeutic agents such as Taxol. Conclusions: Our data suggested that gene expression profiling in combination with imaging study can be used to identify patients with TNBC potentially resistant to chemotherapy.


2004 ◽  
Vol 22 (2) ◽  
pp. 248-256 ◽  
Author(s):  
Lajos Pusztai ◽  
Savitri Krishnamurti ◽  
Jorge Perez Cardona ◽  
Nour Sneige ◽  
Francisco J. Esteva ◽  
...  

2002 ◽  
Vol 12 (6) ◽  
pp. 773-776 ◽  
Author(s):  
C. R. R. Miranda ◽  
C. N. De Resende ◽  
C. F. E. Melo ◽  
A. L. Costa ◽  
H. Friedman

Depression in cancer patients is common and may affect treatment outcome either directly (by lowering defenses) or indirectly (by lowering compliance). Neoadjuvant chemotherapy for advanced uterine cervix or breast cancer is a strenuous undertaking and may lead to depression and impair patients' willingness to comply with the rest of the treatment (eg, surgery or radiotherapy).We compare Beck Depression Inventory (BDI) scores both before and after neoadjuvant chemotherapy in order to verify if depression influences treatment outcome. We studied 22 advanced uterine cervix and 20 breast cancer patients submitted to three courses of neoadjuvant chemotherapy. We used cisplatin and ifosfamide for cervix, and fluorouracil, adriamycin, and cyclophosphamide for breast cancer. We did not identify significant differences in the number of depressed patients, before and after treatment. Cognitive affective, somatic-performance, and total BDI scores were not significantly different from before to after chemotherapy for both breast and uterine cervix cancer. After treatment, the number of depressive breast cancer patients increased while the number of uterine cervix cancer patients decreased. This trend to depression was found more often in less responsive breast cancer patients than in the more responsive cervix cancer patients. We were not able to link depression to treatment failure or success, but patients who responded to treatment were less depressed at the end of treatment.


2004 ◽  
Vol 22 (14_suppl) ◽  
pp. 798-798
Author(s):  
B. C. Pestalozzi ◽  
R. Caduff ◽  
C. Rageth ◽  
D. Fink ◽  
Z. Varga

2020 ◽  
Vol 53 (2) ◽  
pp. 95-104
Author(s):  
Sandra Regina Campos Teixeira ◽  
Hélio Sebastião Amâncio de Camargo Júnior ◽  
Cesar Cabello

Abstract Objective: To evaluate background parenchymal enhancement (BPE) and its characteristics, as well as its behavior before and after neoadjuvant chemotherapy (NAC), in both breasts of patients with unilateral breast cancer. Materials and Methods: This was a retrospective, cross-sectional observational study involving a consecutive sample of women with invasive breast cancer who underwent breast magnetic resonance imaging (MRI) between July 2007 and July 2017, as well as undergoing dynamic contrast-enhanced MRI before and after NAC. In both breasts, we evaluated the BPE in accordance with the Breast Imaging Reporting and Data System. We applied logistic regression analysis, and values of p < 0.05 were considered significant. Results: We evaluated 150 women. The mean age was 45.2 years (range, 20-74 years). The variables correlating independently with a high pre-NAC BPE, in the affected and contralateral breasts, were being under 50 years of age (odds ratio [OR] = 6.55; 95% confidence interval [95% CI]: 2.32-18.46, for both breasts) and a post-NAC BPE reduction (OR = 17.75; 95% CI: 4.94-63.73 and OR = 18.47; 95% CI: 5.19-66.49, respectively). Conclusion: Patients with invasive unilateral breast cancer who have a high pre-NAC BPE in both breasts tend to be under 50 years of age and to show a post-NAC reduction in BPE.


2004 ◽  
Vol 22 (14_suppl) ◽  
pp. 798-798
Author(s):  
B. C. Pestalozzi ◽  
R. Caduff ◽  
C. Rageth ◽  
D. Fink ◽  
Z. Varga

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