Factors affecting pathological complete response after neoadjuvant chemotherapy in breast cancer: a single-center experience.

OBJECTIVE: The aim of this study was to examine the characteristics of patients admitted to our hospital with a diagnosis of breast cancer who reached pathological complete response after being operated following eight cycles of neoadjuvant chemotherapy. METHODS: Between 2015-2020, patients with pathological complete response who were operated on after neoadjuvant chemotherapy and sent to our clinic for radiotherapy were evaluated. RESULTS: The median age of the patients was 51 years. The most common histological type was invasive ductal cancer. The number of pathological complete response patients was 74 (28%), and the number of non-pathological complete response patients was 188 (72%). Patients with pathological complete response had a smaller tumor diameter than the non-pathological complete response group (p=0.001). For pathological complete response, T1 stage, N1 stage, NG 3, Ki-67 >20%, negative estrogen receptor, negative progesterone receptor, positive Cerb-B2, and adding trastuzumab to chemotherapy were statistically significant (p<0.05). Before neoadjuvant chemotherapy, stage T1-T2 (p=0.036), LN0-1 (p=0.026), Cerb-B2 positivity (p=0.025), and an initial nuclear grade of three (p=0.001) were found to be the factors affecting pathological complete response. CONCLUSIONS: With neoadjuvant chemotherapy, the size of locally advanced tumors decreases, allowing breast conserving surgery. The neoadjuvant chemotherapy response can be used as an early indicator of the prognosis of patients with breast cancer. Today, neoadjuvant chemotherapy is also used for patients with early-stage, operable breast cancer because it has been shown in many studies that reaching pathological complete response is associated with positive long-term results. If we can identify patients who have reached pathological complete response before neoadjuvant chemotherapy, we think we can also determine a patient-specific treatment plan at the beginning of treatment.

Factors affecting pathological complete response after neoadjuvant chemotherapy in breast cancer: a single-center experience

SUMMARY OBJECTIVE: The aim of this study was to examine the characteristics of patients admitted to our hospital with a diagnosis of breast cancer who reached pathological complete response after being operated following eight cycles of neoadjuvant chemotherapy. METHODS: Between 2015-2020, patients with pathological complete response who were operated on after neoadjuvant chemotherapy and sent to our clinic for radiotherapy were evaluated. RESULTS: The median age of the patients was 51 years. The most common histological type was invasive ductal cancer. The number of pathological complete response patients was 74 (28%), and the number of non-pathological complete response patients was 188 (72%). Patients with pathological complete response had a smaller tumor diameter than the non-pathological complete response group (p=0.001). For pathological complete response, T1 stage, N1 stage, NG 3, Ki-67 >20%, negative estrogen receptor, negative progesterone receptor, positive Cerb-B2, and adding trastuzumab to chemotherapy were statistically significant (p<0.05). Before neoadjuvant chemotherapy, stage T1-T2 (p=0.036), LN0-1 (p=0.026), Cerb-B2 positivity (p=0.025), and an initial nuclear grade of three (p=0.001) were found to be the factors affecting pathological complete response. CONCLUSIONS: With neoadjuvant chemotherapy, the size of locally advanced tumors decreases, allowing breast conserving surgery. The neoadjuvant chemotherapy response can be used as an early indicator of the prognosis of patients with breast cancer. Today, neoadjuvant chemotherapy is also used for patients with early-stage, operable breast cancer because it has been shown in many studies that reaching pathological complete response is associated with positive long-term results. If we can identify patients who have reached pathological complete response before neoadjuvant chemotherapy, we think we can also determine a patient-specific treatment plan at the beginning of treatment.

Effective of Pre-operative 2-Deoxy-2-[fluorine-18] fluoro-d-glucose/Positron Emission Tomography/Computed Tomography in the Determination of Boost Volume in Adjuvant Radiotherapy after Breast-conserving Surgery.

OBJECTIVES: Determining boost volume (BV) during breast radiotherapy can be challenging at times. Therefore, surgical clips are now being widely used. At times, when surgical clips are inadequate in determining the BV, other additional imaging methods are required. In the present study, we aimed to demonstrate that pre-operative positron emission tomography/computed tomography (PET-CT) can be used to determine the BV after a breast-conversing surgery. METHODS: We selected thirty patients who underwent breast-conserving surgery with surgical clips and had preoperative Fluorine-18-Fluorodeoxyglucose PET (18 FDG PET/CT). The BV in planning tomography (CT) and primary tumor volume (TV) in pre-operative F-18 FDG PET/CT was contoured by a radiation oncologist. These two volumes were superposed using rigid image fusion. In every patient, two BVs were measured. The mean shift between the two volumes by the calculation of the center of mass and percentage of the PET-CT TV (PET-CT TV) in planning the BV (planning target volume [PTV]-BV) was calculated. RESULTS: The median age was 52 years (range 25-72 years). The pre-operative PET-CT TV median was 8.89 cm3 (range 1.00-64.30 cm3). The median PTV-BV was 62.92 cm3 (12.57-123.07 cm3). The median shifts between the center of volumes were 1.76 cm (range 0.90-3.50) in X(coronal), 1.73 cm (range 0.60-3.60) in the Y(axial), and 1.20 cm (0.40-2.80) in the Z(sagittal) directions, respectively. The shifts in these three planes were determined to be statistically significant (p<0.001). The percent volume of PET-CT TV included PTV TV, ranging from 35% to 100% (mean 54%, standard deviation 29.53) and 100% in two out of 31 patients. CONCLUSION: Our study has shown that pre-operative PET-CT cannot be used to determine the BV in patients who replaced surgical clips and had undergone breast-conserving surgery. To define a more accurate BV, surgical clips should be placed in four planes, and more PTV margins should be given in treatment planning.

Evaluation of the relationship between serum ghrelin levels and cancer cachexia in patients with locally advanced nonsmall-cell lung cancer treated with chemoradiotherapy.

BACKGROUND: Ghrelin plays a role in mechanisms related to cancer progression - including cell proliferation, invasion and migration, and resistance to apoptosis in the cell lines from several cancers. We investigated the role of ghrelin levels in cancer cachexia-anorexia in patients with locally advanced nonsmall-cell lung cancer (NSCLC) treated with chemoradiotherapy (CRT). MATERIALS AND METHODS: This study involved 84 NSCLC patients who had received concomitant CRT. Blood ghrelin levels were compared before and 3 months after CRT. Meanwhile, changes in body weight of the patients were also investigated with changes in ghrelin levels before and after CRT. RESULTS: Ghrelin levels were significantly decreased in line with changes in patients' weights in patients receiving CRT (P < 0.001). Serum albumin levels and inflammatory-nutritional index were significantly decreased after radiotherapy (RT) (3.01 ± 0.40 g/dL, 0.38 ± 0.20) when compared with its baseline levels (3.40 ± 0.55 g/dL,P < 0.001; 0.86 ± 0.71,P < 0.001, respectively). Serum C-reactive protein levels were significantly increased after CRT (7.49 ± 6.53 mg/L) when compared with its baseline levels (9.54 ± 3.80 mg/L,P = 0.038). After RT, ghrelin levels in patients were positively correlated with body mass index (r = 0.830,P < 0.001) and albumin (r = 0.758,P < 0.001). CONCLUSION: Ghrelin may play a role in the pathogenesis of weight loss in NSCLC patients. Ghrelin seems to be implicated in cancer-related weight loss. Ghrelin, cancer, and RT all together have a role in tumor-related anorexia-cachexia in patients with NSCLC. Results of this study need further evaluation as regards to its potential role as an adjuvant diagnostic or prognostic marker.

The Effect of Indicators of Systemic Inflammatory Response on Survival in Glioblastoma Multiforme.

AIM: To evaluate the prognostic value of preoperative neutrophil-to-lymphocyte ratio and platelet-lymphocyte ratio in glioblastoma multiforme patients. MATERIAL AND METHODS: A total of 75 patients retrospectively analysed. The complete blood count of the patients was analysed before surgery. In our study, cut-off values for PLR 150 (platelet-lymphocyte ratio) and NLR 4 (neutrophil-to-lymphocyte ratio) were found to be significant by creating the ROC curve. Overall survival (OS) was calculated from surgery to death or the last contact. Progression-free survival (PFS) was calculated from surgery to progression. The last follow-up was November 2018. RESULTS: The median OS was significantly shorter in PLR > 150 patients (p=0.005; 10 vs 17 months). And the median OS was significantly shorter in NLR > 4 patients too (p=0.010; 11 vs 17 months). In multivariate analysis, Karnofsky performance score < 70 (HR:2.96, 95% CI:1.68-5.21; p < 0.001), type of surgical resection (HR:2.32, 95% CI:1.35-3.98; p=0.002) were statistically significant for PFS. In multivariate analysis, KPS < 70 (HR:2.72, 95% CI:1.30-5.67; p < 0.007), type of surgical resection (HR:2.09, 95% CI:1.10- 3.95; p=0.023), NLR > 4 (HR:2.14, 95% CI:1.11-4.14; p=0.023) were statistically significant for OS were found to be independent prognostic factor. CONCLUSION: The presence of 70 < KPS and type of surgical resection in patients with GBM had a negative effect on PFS. NLR > 4, 70 < KPS, type of surgical resection were independent prognostic factors that negatively affect for the OS.