scholarly journals Diffuse optical spectroscopic imaging correlates with final pathological response in breast cancer neoadjuvant chemotherapy

2011 ◽  
Vol 369 (1955) ◽  
pp. 4512-4530 ◽  
Author(s):  
Albert E. Cerussi ◽  
Vaya W. Tanamai ◽  
David Hsiang ◽  
John Butler ◽  
Rita S. Mehta ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Tumour Response ◽  
Spectroscopic Imaging ◽  
Complete Response ◽  
Pathological Response ◽  
Breast Cancers ◽  
Breast Cancer Patients ◽  
Pilot Studies

Diffuse optical spectroscopic imaging (DOSI) non-invasively and quantitatively measures tissue haemoglobin, water and lipid. Pilot studies in small groups of patients demonstrate that DOSI may be useful for longitudinal monitoring and predicting breast cancer neoadjuvant chemotherapy pathological response. This study evaluates the performance of a bedside DOSI platform in 34 breast cancer patients followed for several months. DOSI optical endpoints obtained at multiple timepoints are compared with final pathological response. Thirty-six stage II/III breast cancers (34 patients) were measured in vivo with DOSI prior to, in the middle of and after the completion of pre-surgical neoadjuvant chemotherapy. Cancer therapies ranged from standard anthracyclines to targeted therapies. Changes in DOSI-measured parameters at each timepoint were compared against final surgical pathology. Absolute changes in the tumour-to-normal (T/N) ratio of tissue deoxyhaemoglobin concentration (ctHHb) and relative changes in the T/N ratio of a tissue optical index (TOI) were most sensitive and correlate to pathological response. Changes in ctHHb and TOI were significantly different between tumours that achieved pathological complete response (pCR) versus non-pCR. By therapy midpoint, mean TOI-T/N changes were 47±8 versus 20±5 per cent for pCR versus non-pCR subjects, respectively ( Z =0.011). Changes in ctHHb and TOI scaled significantly with the degree of pathological response (non-, partial and complete). DOSI measurements of TOI separated pCR from non-pCR by therapy midpoint regardless of drug or dosing strategy. This approach is well suited to monitoring breast tumour response and may provide feedback for optimizing therapeutic outcomes and minimizing side-effects.

scholarly journals Circulating tumour cell enumeration does not correlate with Miller–Payne grade in a cohort of breast cancer patients undergoing neoadjuvant chemotherapy

2020 ◽  
Vol 181 (3) ◽  
pp. 571-580 ◽  
Author(s):  
Sharon A. O’Toole ◽  
Cathy Spillane ◽  
Yanmei Huang ◽  
Marie C. Fitzgerald ◽  
Brendan Ffrench ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
Ductal Carcinoma ◽  
Lobular Carcinoma ◽  
Complete Response ◽  
Pathological Response ◽  
Grading System ◽  
Breast Cancer Patients ◽  
Pre Treatment

Abstract Purpose The association between pathological complete response (pCR) in patients receiving neoadjuvant chemotherapy (NAC) for breast cancer and Circulating Tumour Cells (CTCs) is not clear. The aim of this study was to assess whether CTC enumeration could be used to predict pathological response to NAC in breast cancer as measured by the Miller–Payne grading system. Methods Twenty-six patients were recruited, and blood samples were taken pre- and post-NAC. CTCs were isolated using the ScreenCell device and stained using a modified Giemsa stain. CTCs were enumerated by 2 pathologists and classified as single CTCs, doublets, clusters/microemboli and correlated with the pathological response as measured by the Miller–Payne grading system. χ2 or ANOVA was performed in SPSS 24.0 statistics software for associations. Results 89% of patients had invasive ductal carcinoma (IDC) and 11% invasive lobular carcinoma (ILC). At baseline 85% of patients had CTCs present, median 7 (0–161) CTCs per 3 ml of whole blood. Post-chemotherapy, 58% had an increase in CTCs. This did not correlate with the Miller–Payne grade of response. No significant association was identified between the number of CTCs and clinical characteristics; however, we did observe a correlation between pre-treatment CTC counts and body mass index, p < 0.05. Conclusions Patients with a complete response to NAC still had CTCs present, suggesting enumeration is not sufficient to aid surgery stratification. Additional characterisation and larger studies are needed to further characterise CTCs isolated pre- and post-chemotherapy. Long-term follow-up of these patients will determine the significance of CTCs in NAC breast cancer patients.

scholarly journals Circulating tumour cell enumeration does not correlate with Miller-Payne grade in a cohort of breast cancer patients undergoing neoadjuvant chemotherapy

2019 ◽  
Author(s):  
Sharon O'Toole ◽  
Cathy Spillane ◽  
Yanmei Huang ◽  
Marie Fitzgerald ◽  
Brendan Ffrench ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
Ductal Carcinoma ◽  
Lobular Carcinoma ◽  
Complete Response ◽  
Pathological Response ◽  
Breast Cancer Patients ◽  
Response To Chemotherapy ◽  
Pre Treatment

Abstract Background: Detection and enumeration of Circulating Tumour Cells (CTCs) has been evaluated in many cancers such as breast cancer. However, the full prognostic and predictive power of CTCs for cancer cannot currently be harnessed, and the association between pathological complete response in patients receiving neoadjuvant chemotherapy for breast cancer and CTCs is still not clear. The aim of this study was to assess if CTCs could be used to predict pathological response to neoadjuvant chemotherapy in breast cancer patients. Methods: 26 patients were recruited, and blood samples taken pre- and post-neoadjuvant chemotherapy. CTCs were isolated using the ScreenCell device and stained using a modified Giemsa stain. CTCs were enumerated by 2 pathologists and classified as single CTCs, doublets clusters/microemboli. Counts were then correlated to the pathological response as measured by the Miller-Payne grading system. The associations between CTCs and clusters and pathological variables were evaluated with χ2 or ANOVA tests performed in the SPSS 24.0 statistics software. Results: 89% of the patients had invasive ductal carcinoma and 11% invasive lobular carcinoma. At baseline 85% of patients had CTCs present and only 4 patients were CTC negative. Median baseline CTC count was 7 (0-161) CTCs per 3mls of whole blood. Post chemotherapy, 58% of the patients had an increase in CTCs. This change in CTC count did not correlate with the Miller Payne grade of response to chemotherapy. No significant association was identified between the number of CTCs and clinical characteristics, including patient age, receptor status, tumour grade, disease type, lymph node metastasis, lymphovascular space invasion, radiological response or clinical or pathological stage. However, we did observe a correlation between pre-treatment CTC counts and body mass index, p<0.05. Conclusions: There was no correlation between the pre- and post-chemotherapy total number of CTCs/clusters and the Miller Payne grade. It is not enough to evaluate pathological response for neoadjuvant chemotherapy for breast cancer patients utilising CTCs identified by Giemsa staining alone. Additional characterisation is needed to further characterise CTCs isolated pre- and post-chemotherapy. Long-term follow-up of these patients will determine the significance of CTCs in breast cancer patients undergoing neoadjuvant chemotherapy.

scholarly journals Tumor Microenvironment Characterization in Breast Cancer Identifies Prognostic and Neoadjuvant Chemotherapy Relevant Signatures

2021 ◽  
Vol 8 ◽  
Author(s):  
Fei Ji ◽  
Jiao-Mei Yuan ◽  
Hong-Fei Gao ◽  
Ai-Qi Xu ◽  
Zheng Yang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
T Cells ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
Immune Cells ◽  
Predictive Accuracy ◽  
Complete Response ◽  
Favourable Outcome ◽  
Breast Cancers ◽  
Breast Cancer Patients

Immune response which involves distinct immune cells is associated with prognosis of breast cancer. Nonetheless, less study have determined the associations of different types of immune cells with patient survival and treatment response. In this study, A total of 1,502 estrogen receptor(ER)-negative breast cancers from public databases were used to infer the proportions of 22 subsets of immune cells. Another 320 ER-negative breast cancer patients from Guangdong Provincial People’s Hospital were also included and divided into the testing and validation cohorts. CD8+ T cells, CD4+ T cells, B cells, and M1 macrophages were associated with favourable outcome (all p &lt;0.01), whereas Treg cells were strongly associated with poor outcome (p = 0.005). Using the LASSO model, we classified patients into the stromal immunotype A and B subgroups according to immunoscores. The 10 years OS and DFS rates were significantly higher in the immunotype A subgroup than immunotype B subgroup. Stromal immunotype was identified as an independent prognostic indicator in multivariate analysis in all cohorts and was also related to pathological complete response(pCR) after neoadjuvant chemotherapy. The nomogram that integrated the immunotype and clinicopathologic features showed good predictive accuracy for pCR and discriminatory power. The stromal immunotype A subgroup had higher expression levels of immune checkpoint molecules (PD-L1, PD-1, and CTLA-4) and cytokines (IL-2, INF-γ, and TGF-β). In addition, patients with immunotype A and B diseases had distinct mutation signatures. Therefore, The stromal immunotypes could predict survival and responses of ER-negative breast cancer patients to neoadjuvant chemotherapy.

Targeting PKM2 promotes chemosensitivity of breast cancer cells in vitro and in vivo

2021 ◽  
pp. 1-10
Author(s):  
Yu Wang ◽  
Han Zhao ◽  
Ping Zhao ◽  
Xingang Wang
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Cells ◽  
Cancer Patients ◽  
Poor Prognosis ◽  
Breast Cancer Cells ◽  
Breast Cancer Patients ◽  
Cancer Tissues

BACKGROUND: Pyruvate kinase M2 (PKM2) was overexpressed in many cancers, and high PKM2 expression was related with poor prognosis and chemoresistance. OBJECTIVE: We investigated the expression of PKM2 in breast cancer and analyzed the relation of PKM2 expression with chemotherapy resistance to the neoadjuvant chemotherapy (NAC). We also investigated whether PKM2 could reverse chemoresistance in breast cancer cells in vitro and in vivo. METHODS: Immunohistochemistry (IHC) was performed in 130 surgical resected breast cancer tissues. 78 core needle biopsies were collected from breast cancer patients before neoadjuvant chemotherapy. The relation of PKM2 expression and multi-drug resistance to NAC was compared. The effect of PKM2 silencing or overexpression on Doxorubicin (DOX) sensitivity in the MCF-7 cells in vitro and in vivo was compared. RESULTS: PKM2 was intensively expressed in breast cancer tissues compared to adjacent normal tissues. In addition, high expression of PKM2 was associated with poor prognosis in breast cancer patients. The NAC patients with high PKM2 expression had short survival. PKM2 was an independent prognostic predictor for surgical resected breast cancer and NAC patients. High PKM2 expression was correlated with neoadjuvant treatment resistance. High PKM2 expression significantly distinguished chemoresistant patients from chemosensitive patients. In vitro and in vivo knockdown of PKM2 expression decreases the resistance to DOX in breast cancer cells in vitro and tumors in vivo. CONCLUSION: PKM2 expression was associated with chemoresistance of breast cancers, and could be used to predict the chemosensitivity. Furthermore, targeting PKM2 could reverse chemoresistance, which provides an effective treatment methods for patients with breast cancer.

Is There a Bias Against Obese Patients in the Treatment of Breast Cancer?

2020 ◽  
pp. 000313482098487
Author(s):  
Melinda Wang ◽  
Julian Huang ◽  
Anees B. Chagpar
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
Prophylactic Mastectomy ◽  
Implicit Bias ◽  
Treatment Decision ◽  
Obese Patients ◽  
Breast Cancers ◽  
Breast Cancer Patients ◽  
Immediate Reconstruction

Background Patient and tumor characteristics often coincide with obesity, potentially affecting treatment decision-making in obese breast cancer patients. Independent of all of these factors, however, it is unclear whether obesity itself impacts the decision to offer patients undergoing mastectomy breast reconstruction, postmastectomy radiation therapy (PMRT), or neoadjuvant chemotherapy. We sought to determine whether implicit bias against obese breast cancer patients undergoing mastectomy plays a role in their treatment. Methods Medical records of breast cancer patients undergoing mastectomy from January 2010 to April 2018 from a single institution were retrospectively reviewed, separated into obese (BMI ≥30) and nonobese (BMI <30) categories, and compared using nonparametric statistical analyses. Results Of 972 patients, 291 (31.2%) were obese. Obese patients were more likely to have node-positive, triple-negative breast cancers ( P = .026) and were also more likely to have other comorbidities such as a history of smoking ( P = .026), hypertension ( P < .001), and diabetes ( P < .001). Receipt of immediate reconstruction and contralateral prophylactic mastectomy did not vary between obese and nonobese patients. While obese patients were more likely to undergo neoadjuvant chemotherapy (26.5% vs. 18.1%, P = .004) and PMRT (33.0% vs. 23.4%, P = .003), this did not remain significant when controlling for comorbidities and clinicopathologic confounders. Conclusion Obese patients present with more aggressive tumors and often have concomitant comorbidities. Independent of these factors, however, differences in the treatment of patients undergoing mastectomy do not seem to be affected by an implicit bias against obese patients.

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