Comprehensive analysis of the prognostic role of laboratory indices in advanced lung cancer patients.

OBJECTIVE: Lung cancer, the most common cause of cancer-related death, is diagnosed mostly in advanced stages, and 5-year survival is approximately 5.8%. It is critical to identify reliable prognostic factors to optimize treatment responses, guide therapeutic strategies and pave the way to new research. In this study, we aimed to investigate the strongest prognostic factors for advanced non-small cell lung cancer (NSCLC). METHODS: We retrospectively analyzed 278 patients with NSCLC. We evaluated the association between potential prognostic factors and overall survival (OS) times using Kaplan-Meier analysis and Cox regression analysis. RESULTS: The median OS in all patients was 15.3 months. In univariate analysis, gender, histologic type, performance status, immunotherapy, radiotherapy, hemoglobin level, serum albumin, sodium-globulin ratio (SGR), neutrophil-lymphocyte ratio (NLR), systemic immune inflammation index (SII), hemoglobin-albumin-lymphocyte-platelet score (HALP), and advanced lung cancer index (ALI) were associated with survival. Models were established for multivariate analyses. In the models, NLR, SGR, HALP, immunotherapy, radiotherapy, and Eastern Cooperative Oncology Group (ECOG) performance status showed independent prognostic features (p < 0.001, p = 0.003, p = 0.002, p < 0.001, p = 0.010, and p = 0.025, respectively). In addition, in the subgroup analysis, prognostic indexes (NLR, SGR, and HALP) were found to have a prognostic effect on survival in multiple subgroups. CONCLUSIONS: Pretreatment NLR, SGR, HALP, immunotherapy, radiotherapy, and ECOG performance status are independent prognostic factors for advanced NSCLC patients. These prognostic factors can be used in clinical practice as easily accessible, simple, and useful tools for clinicians.

Comparison of three equations for estimating glomerular filtration rate as predictors of cisplatin-related acute kidney injury in lung cancer patients with normal renal function.

OBJECTIVE: Cisplatin-associated acute kidney injury is a common clinical event that causes increased morbidity and mortality in cancer patients even if they are categorized as having normal functioning kidneys. We aimed to determine predictive factors that can predict acute kidney injury associated with cisplatin therapy in patients with normal renal function by comparison of pre-chemotherapy estimated glomerular filtration rates calculated separately by Cockcroft and Gault (CG), the Modification of Diet in Renal Disease (MDRD), and the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations and accompanying patient-associated factors. MATERIALS AND METHODS: A total of 200 patients diagnosed with lung cancer and determined to have normal functioning kidneys and considered cisplatin eligible by the attending physician before chemotherapy were included in this retrospective study. Acute kidney injury after cisplatin chemotherapy (c-AKI) was determined according to the National Cancer Institute's Common Terminology Criteria for Adverse Events v4.03. Pre-chemotherapy serum laboratory parameters and clinico-histopathological characteristics of patients were recorded from the hospital electronic system. The optimal cut-off for eGFR methods was determined by the area under the receiver operating characteristic curve (ROC-AUC) analysis. Predictive factor analysis for c-AKI was performed by regression analyses. RESULTS: C-AKI developed in 39 (19.5%) patients. In the univariate analysis, a significant correlation was observed between c-AKI and high body mass index (BMI) before treatment, older age (>62.5), female gender, eGFR by MDRD (≤94.5 mL/min) and eGFR by CKD-EPI (≤91.5 mL/min). There was no relation between eGFR by CG and c-AKI. Two different multivariate models were established. Model 1 showed that female gender (odds ratio [OR] =4.90, 95% confidence interval [CI]: 1.52-15.79, P = 0.008) and eGFR by MDRD less than or equal to 94.5 mL/min (OR = 3.52, 95% CI: 1.68-7.38, P = 0.001) were predictive markers for c-AKI. In Multivariate Model 2, female gender (OR = 5.51, 95% CI: 1.70-17.83, P = 0.004) and eGFR by CKD-EPI less than or equal to 91.5 mL/min (OR = 3.52, 95% CI: 1.67-7.42, P = 0.001) were found to be predictive markers for c-AKI. CONCLUSIONS: This study revealed that eGFR calculated based on MDRD (≤94.5 mL/min/m2) or CKD-EPI (≤91.5 mL/min/m2) before chemotherapy indicates a strong tendency for c-AKI. In addition, we detected a high risk of c-AKI for females compared to their counterparts. Although eGFR 60 mL/min is considered the threshold level to accept patients as cisplatin-eligible, we recommend close follow-up of high-risk patients for cisplatin nephrotoxicity we detected in our models.

Efficacy of Neoadjuvant Chemotherapy in Lobular and Rare Subtypes of Breast Cancer.

OBJECTIVE: To determine the predictive factors for the pathological complete response (pCR) in patients with non-ductal invasive breast cancer (ND-BC) receiving neoadjuvant chemotherapy. STUDY DESIGN: Observational study. Place and Duration of the Study: Departments of Medical Oncology, Tekirdag Namik Kemal University, Sirnak State Hospital, Aydin Adnan Menderes University, Marmara University, Bakirkoy Sadi Konuk Hospital, Basaksehir Cam and Sakura Hospital, Sakarya University, Balikesir Ataturk Hospital, Turkiye, from April 2016 to December 2022. METHODOLOGY: A total of 222 non-metastatic breast cancer patients who received neoadjuvant chemotherapy were included in this retrospective multicentric study. The clinicopathologic data were obtained from the hospitals' electronic-record-system. The logistic regression models were used to identify predictive factors for pCR. RESULTS: One hundred and twenty-six patients (56.8%) had invasive lobular carcinoma and 28 patients (12.6%) had signet ring cell/mucinous carcinoma. A total of 45 patients (20.3%) achieved pCR. The pCR rate was 14.3% for lobular carcinoma and 17.9% for signet ring cell/mucinous carcinoma. The univariate analysis showed that estrogen receptor-negative tumours (p = 0.017), high Ki-67 (p = 0.008), high histologic grade (p<0.001), HER2+ expression (p<0.001), and non-lobular histologic type (p = 0.012) were predictive factors for pCR. The multivariate model revealed that HER2 expression (p<0.001) and Ki-67 (p = 0.005) were independent predictors. CONCLUSION: Neoadjuvant chemotherapy demonstrated effectiveness in ND-BC patients, leading to favourable pCR rates and enabling breast-conserving surgery. Predictive markers for pCR varied depending on histologic types, with HER2 expression, ER status, Ki-67, and histologic grade showing significance in non-ductal subtypes, while HER2 status alone was predictive in lobular carcinoma. KEY WORDS: Neoadjuvant chemotherapy, Non-ductal breast cancer, Lobular carcinoma.

PROPSEA, safety evaluation of palbociclib and ribociclib in older patients with breast cancer: A prospective real-world TOG study.

INTRODUCTION: In this study, the toxicities and management of palbociclib and ribociclib in older patients (≥65 years) with metastatic breast cancer patients were investigated. MATERIALS AND METHODS: Among older patients receiving palbociclib and ribociclib, Geriatric 8 (G8) and Groningen Frailty Index were used to evaluate frailty status. Dose modifications, drug withdrawal and other serious adverse events (SAEs) were recorded and analyzed according to baseline patient characteristics. RESULTS: A total of 160 patients from 28 centers in Turkey were included (palbociclib = 76, ribociclib = 84). Forty-three patients were ≥ 75 years of age. The most common cause of first dose modification was neutropenia for both drugs (97% palbociclib, 69% ribociclib). Liver function tests elevation (10%) and renal function impairment (6%) were also causes for ribociclib dose modification. Drug withdrawal rate was 3.9% for palbociclib and 6% for ribociclib. SAEs were seen in 11.8% of those taking palbociclib and 15.5% of those on riboclib. An ECOG performance status of ≥2 and being older than 75 years were associated with dose reductions. Severe neutropenia was more common in patients with non-bone-only metastatic disease, those receiving treatment third-line therapy or higher, coexistance of non-neutropenic hematological side effects (for ribociclib). Neutropenia was less common among patients with obesity. DISCUSSION: Our results show that it can be reasonable to start palbociclib and ribociclib at reduced dose in patients aged ≥75 years and/or with an ECOG performance status ≥2.

Decrease in estimated glomerular filtration rates in non-small cell lung cancer patients treated with crizotinib.

Introduction: Crizotinib is a tyrosine kinase inhibitor used in patients with non-small cell lung cancer, and there are uncertainties about its effect on kidney function. In this study, it was aimed to document the possible adverse effect of the drug on kidney functions. Materials and Methods: The estimated glomerular filtration rates (eGFRs) of the patients were calculated by creatinine-based Chronic Kidney Disease Epidemiology Collaboration and compared by months using the paired samples t-test. Kaplan-Meier survival method was used for progression-free survival and overall survival (OS) analysis. Results: Twenty-six patients who received crizotinib were included in the study, and the median progression-free survival time with crizotinib was 14.2 months and the median OS time was 27.4 months. There was a significant reduction of eGFR after the 1st month of crizotinib treatment when compared to the rate before treatment initiation (P < 0.001). The eGFR values at the end of the 1st month and the 2nd month of treatment and the 2nd and 3rd months of treatment were statistically similar (P = 0.086, P = 0.663; respectively). This decrease in eGFR values was reversible, and there was no difference detected between pretreatment and posttreatment discontinuation (P = 0.100). Conclusion: A reversible decrease in renal functions was detected in patients using crizotinib. When the literature data are examined, it is thought that the reason for this decrease may be related to the increase in renal inflammation or a pseudo decrease due to the decrease in creatinine excretion. When evaluating renal functions in these patients, using noncreatine-based (iothalamate, etc.) calculations can give more accurate results.

A New Mortality Prediction Model in Advanced Stage Cancer Patients Requiring Hospitalisation while Receiving Active Systemic Therapy.

OBJECTIVE: To predict short and long-term mortality in patients who were admitted to the emergency department and then hospitalised unplanned in medical oncology-ward. STUDY DESIGN:  An observational study. Place and Duration of the Study: Department of Medical Oncology, Tekirdag Namik Kemal University Hospital, Tekirdag, Turkiye, from May 2021 to May 2022. METHODOLOGY: Consecutive patients admitted to the emergency department with unplanned hospitalisation in the oncology ward, were included. Patients receiving treatment with the curative intent, patients hospitalised for febrile neutropenia, and terminally ill patients requiring intensive care unit follow-up at admission  were  excluded  from  the study.  Univariate  and  multivariate  logistic  regression  analyses were used to identify predictive factors for short and long-term mortality-dependent variables. RESULTS: This study included 253 advanced cancer patients. The number of patients who died in the ward within 10 days (short-term mortality) was 28 (11.1%). Ninety patients (35.6%) died afterwards anytime in the ward during the study (long-term mortality). In the multivariate analysis established for short-term mortality, higher ALT (OR = 6.75, 95% CI: 2.09 - 21.85, p=0.001), rapid deterioration in performance status (OR = 5.49, 95% CI: 1.81-16.67, p=0.003), higher CRP (OR = 5.86, 95% CI: 1.20-28.53, p=0.029), higher procalcitonin (OR = 7.94, 95% CI: 0.99 - 63.82, p=0.051), and higher lactate (OR = 2.47, 95% CI: 0.94-6.51, p=0.067) showed significant predictive features. CONCLUSION: The decision of whether to continue treatment or not is challenging in cancer patients who require unplanned hospitalisation while receiving palliative systemic therapy. New mortality estimation models can be used in making the transition from life-long to palliative treatments. KEY WORD: Mortality prediction, Hospitalisation, Estimation of survival, Chemotherapy.

Tamoxifen or aromatase inhibitors: which one is the culprit of urinary incontinence in premenopausal breast cancer patients receiving adjuvant hormone therapy?

AIM: The primary aim of this study was to compare tamoxifen versus aromatase inhibitors (AI) in terms of urinary incontinence (UI) in premenopausal female patients receiving adjuvant hormone therapy for breast cancer. A secondary aim was to investigate the prevalence and the affecting factors of UI. METHODS: This study was designed as a multicenter, cross-sectional that included consecutive premenopausal breast cancer patients ≤50 years of age receiving tamoxifen (with/without LHRHa) or AI (with LHRHa) for at least 6 months, between June 2021 and September 2022. Patients with urinary incontinence before hormone treatments and metastatic patients were excluded from the study. Turkish validation of The International Consultation on Incontinence Modular Questionnaire Urinary Incontinence Short Form (ICIQ UI-SF) was used to determine the UI. Using logistic regression methods, we analyzed potential predictive factors for UI. RESULTS: A total of 206 breast cancer patients were included in this study. A total of 120 (58.2%) patients were receiving tamoxifen plus LHRHa, 40 (19.4%) patients were receiving aromatase inhibitor plus LHRHa, and 46 (22.3%) patients were receiving tamoxifen only. In this study, the prevalence of urinary incontinence was found to be 35.9% (n:74). 41% of the patients receiving tamoxifen and 15.0% of those receiving aromatase inhibitors had complaints of urinary incontinence. There was a statistically significant difference between patients receiving tamoxifen or aromatase inhibitor in terms of urinary incontinence (p=0.001). In the univariate analysis established to predict UI, parity (≥2 vs <2) (OR = 3.23, 95% CI: 1.62-6.46, p= 0.001), tamoxifen (vs AI) (OR = 3.97, 95% CI: 1.58-9.98, p= 0.003), age ( ≥40 vs. <40) (OR = 2.80, 95% CI: 1.37-5.71, p= 0.005), vaginal deliveries (≥2 vs. <2) (OR = 3.28, 95% CI: 1.44-7.46, p= 0.005), hypertension (OR = 3.59, 95% CI: 1.43-9.02, p= 0.007), diuretic use (OR = 2.55, 95% CI: 1.09-5.95, p= 0.031) ), and body mass index (≥25 vs <25) (OR = 1.94, 95% CI: 1.05-3.63), p= 0.034) was found to be predictive. Tamoxifen (OR = 4.71, 95% CI: 1.77-12.56, p= 0.002), hypertension (OR = 3.48, 95% CI: 1.27-9.52, p= 0.015), and age (OR = 2.35, 95% CI: 1.10-5.02, p= 0.027) remained independent predictors for incontinence in multivariate analyses. CONCLUSION: We found that tamoxifen had increased the risk of urinary incontinence compared to aromatase inhibitors in patients receiving hormone therapy for breast cancer. In addition, we showed that age and hypertension were also independent predictors for UI. In the context of quality of life, we recommend close follow-up of these patients, as drug adherence may be affected in the event of urinary incontinence.

A logarithmic model for hormone receptor-positive and breast cancer patients treated with neoadjuvant chemotherapy.

OBJECTIVE: The aim of this study was to investigate the predictive importance of the previously validated log(ER)*log(PgR)/Ki-67 predictive model in a larger patient population. METHODS: Patients with hormone receptor positive/HER-2 negative and clinical node positive before chemotherapy were included. Log(ER)*log(PgR)/Ki-67 values of the patients were determined, and the ideal cutoff value was calculated using a receiver operating characteristic curve analysis. It was analyzed with a logistic regression model along with other clinical and pathological characteristics. RESULTS: A total of 181 patients were included in the study. The ideal cutoff value for pathological response was 0.12 (area under the curve=0.585, p=0.032). In the univariate analysis, no statistical correlation was observed between luminal subtype (p=0.294), histological type (p=0.238), clinical t-stage (p=0.927), progesterone receptor level (p=0.261), Ki-67 cutoff value (p=0.425), and pathological complete response. There was a positive relationship between numerical increase in age and residual disease. As the grade of the patients increased, the probability of residual disease decreased. Patients with log(ER)*log(PgR)/Ki-67 above 0.12 had an approximately threefold increased risk of residual disease when compared to patients with 0.12 and below (odds ratio: 3.17, 95% confidence interval: 1.48-6.75, p=0.003). When age, grade, and logarithmic formula were assessed together, the logarithmic formula maintained its statistical significance (odds ratio: 2.47, 95% confidence interval: 1.07-5.69, p=0.034). CONCLUSION: In hormone receptor-positive breast cancer patients receiving neoadjuvant chemotherapy, the logarithmic model has been shown in a larger patient population to be an inexpensive, easy, and rapidly applicable predictive marker that can be used to predict response.

A logarithmic model for hormone receptor-positive and breast cancer patients treated with neoadjuvant chemotherapy

SUMMARY OBJECTIVE: The aim of this study was to investigate the predictive importance of the previously validated log(ER)*log(PgR)/Ki-67 predictive model in a larger patient population. METHODS: Patients with hormone receptor positive/HER-2 negative and clinical node positive before chemotherapy were included. Log(ER)*log(PgR)/Ki-67 values of the patients were determined, and the ideal cutoff value was calculated using a receiver operating characteristic curve analysis. It was analyzed with a logistic regression model along with other clinical and pathological characteristics. RESULTS: A total of 181 patients were included in the study. The ideal cutoff value for pathological response was 0.12 (area under the curve=0.585, p=0.032). In the univariate analysis, no statistical correlation was observed between luminal subtype (p=0.294), histological type (p=0.238), clinical t-stage (p=0.927), progesterone receptor level (p=0.261), Ki-67 cutoff value (p=0.425), and pathological complete response. There was a positive relationship between numerical increase in age and residual disease. As the grade of the patients increased, the probability of residual disease decreased. Patients with log(ER)*log(PgR)/Ki-67 above 0.12 had an approximately threefold increased risk of residual disease when compared to patients with 0.12 and below (odds ratio: 3.17, 95% confidence interval: 1.48-6.75, p=0.003). When age, grade, and logarithmic formula were assessed together, the logarithmic formula maintained its statistical significance (odds ratio: 2.47, 95% confidence interval: 1.07-5.69, p=0.034). CONCLUSION: In hormone receptor-positive breast cancer patients receiving neoadjuvant chemotherapy, the logarithmic model has been shown in a larger patient population to be an inexpensive, easy, and rapidly applicable predictive marker that can be used to predict response.

Efficacy of subsequent treatments in patients with hormone-positive advanced breast cancer who had disease progression under CDK 4/6 inhibitor therapy.

BACKGROUND: There is no standard treatment recommended at category 1 level in international guidelines for subsequent therapy after cyclin-dependent kinase 4/6 inhibitor (CDK4/6) based therapy. We aimed to evaluate which subsequent treatment oncologists prefer in patients with disease progression under CDKi. In addition, we aimed to show the effectiveness of systemic treatments after CDKi and whether there is a survival difference between hormonal treatments (monotherapy vs. mTOR-based). METHODS: A total of 609 patients from 53 centers were included in the study. Progression-free-survivals (PFS) of subsequent treatments (chemotherapy (CT, n:434) or endocrine therapy (ET, n:175)) after CDKi were calculated. Patients were evaluated in three groups as those who received CDKi in first-line (group A, n:202), second-line (group B, n: 153) and ≥ 3rd-line (group C, n: 254). PFS was compared according to the use of ET and CT. In addition, ET was compared as monotherapy versus everolimus-based combination therapy. RESULTS: The median duration of CDKi in the ET arms of Group A, B, and C was 17.0, 11.0, and 8.5 months in respectively; it was 9.0, 7.0, and 5.0 months in the CT arm. Median PFS after CDKi was 9.5 (5.0-14.0) months in the ET arm of group A, and 5.3 (3.9-6.8) months in the CT arm (p = 0.073). It was 6.7 (5.8-7.7) months in the ET arm of group B, and 5.7 (4.6-6.7) months in the CT arm (p = 0.311). It was 5.3 (2.5-8.0) months in the ET arm of group C and 4.0 (3.5-4.6) months in the CT arm (p = 0.434). Patients who received ET after CDKi were compared as those who received everolimus-based combination therapy versus those who received monotherapy ET: the median PFS in group A, B, and C was 11.0 vs. 5.9 (p = 0.047), 6.7 vs. 5.0 (p = 0.164), 6.7 vs. 3.9 (p = 0.763) months. CONCLUSION: Physicians preferred CT rather than ET in patients with early progression under CDKi. It has been shown that subsequent ET after CDKi can be as effective as CT. It was also observed that better PFS could be achieved with the subsequent everolimus-based treatments after first-line CDKi compared to monotherapy ET.

Immunogenicity and safety of the CoronaVac vaccine in patients undergoing treatment for breast and lung cancer.

OBJECTIVE: To compare seroconversion for SARS-CoV-2 receptor-binding domain (RBD) specific IgG positivity against two doses of the CoronaVac vaccine in breast and lung cancer patients receiving systemic therapy, to determine the factors affecting seropositivity, and to observe long-term results up to a secondary booster vaccine. RESULTS: The analysis included 201 cancer patients (99 breasts, 102 lungs; median age: 59 years (range: 28-92), 42.3 % men) and 97 controls (median age: 62 years (range: 24-87), 38.1 % men). The seropositivity rate for RBD IgG after 2 doses of vaccine in the cancer group was 81.6 % (n=164) and 93.8 % (n=91) in the control group (p=0.005). The median IgG titer of cancer patients was significantly lower than in the control group (338 (IQR, 95-933) AU/mL vs 676 (IQR, 389-1270) AU/mL; p<0.001). Multivariate analysis of all the patients determined that having cancer (OR: 0.303, 95%CI: 0.123-0.750, p=0.010) and being over 60 years of age (OR: 0.447, 95%CI: 0.218-0.917, p=0.028) was associated with a reduced vaccine response. A subgroup analysis of cancer patients revealed that seroconversion was lower in men than in women (75.3 % vs 86.2 %, p=0.049) and lower in ≥60 patients than in <60 patients (75.9 % vs 89.4 %, p=0.014). DISCUSSION AND CONCLUSION: Cancer patients receiving an active systemic therapy with two doses of the CoronaVac vaccine had a lower antibody response than the non-cancer population, and deaths due to COVID-19 may occur in these patients despite the vaccine. Therefore, extensive protective measures should be taken to protect against COVID-19 in cancer patients aged 60 years and older, who have received two doses of the CoronaVac vaccine (Tab. 4, Fig. 4, Ref. 27).

Soluble B7H3 level in breast cancer and its relationship with clinicopathological variables and T cell infiltration.

Aim of the study: Although early diagnosis of breast cancer (BC) is often associated with a good prognosis, there is currently no biomarker with high sensitivity serving this purpose. B7H3, a recently identified member of the B7 family, appears to inhibit antitumor immunity. We investigated the soluble B7H3 (sB7H3) level in BC and its relationship with clinicopathological variables and stromal tumor-infiltrating lymphocytes (sTILs). Material and methods: The study, which was designed as a cross-sectional trial between January 2020 and September 2021, included 93 BC patients, 20 patients with benign breast disease (BBD) and 14 healthy volunteers as the control group. Serum sB7H3 levels were measured using the ELISA (enzyme-linked immunosorbent assay) method and sTILs were measured by immunohistochemistry using Tru-cut biopsy materials. Results: sB7H3 levels in BC patients were significantly higher than those in patients with BBD and healthy volunteers. Receiver operating characteristic curve analysis results showed that sB7H3 level may be a potential biomarker for distinguishing patients with BC from those with BBD (AUC: 0.807; sensitivity: 0.786; specificity: 0.706) and from healthy volunteers (AUC: 0.731; sensitivity: 0.700; specificity: 0.692). Conclusions: To the best of our knowledge, the present study is the first to investigate the relationship between sB7H3 and disease parameters in BC. We found that sB7H3 may be a clinically practical and meaningful biomarker in differentiating BC from BBD. In order to evaluate the relationship of B7H3 with clinical variables in BC, and especially with sTILs, tissue-based studies with higher numbers of patients are needed.

The diagnostic contribution of magnetic resonance imaging in the detection of axillary metastasis after neoadjuvant chemotherapy.

Sentinel lymph node dissection (SLND) is a reliable method that provides axillary staging in clinical node-negative (cN0) breast cancer patients before neoadjuvant chemotherapy (NACT). However, it is not a standard method on its own due to the high false-negative rates (FNR) reported in initially clinical node-positive patients (cN1-cN3). The contribution of magnetic resonance imaging (MRI) to SLND after chemotherapy is not well understood. In our study, we aimed to investigate the contribution of post-NACT MRI to SLND in breast cancer patients receiving NACT. Between January 2014 and December 2020, patients who had MRI images including the axilla after NACT and had axillary lymph nodes evaluation performed simultaneously with SLND were included in the study. MRI images of all patients were re-evaluated by 2 experienced clinicians. MRI and SLND results were analyzed to detect axillary lymph node metastasis. 117 patients were included in the study. The median age of the patients was 49 years. Before chemotherapy, 108 patients (92.3%) had tumor metastases in their axilla pathologically confirmed by tru-cut biopsy. Axillary downstage was obtained in 48.1% (n=52) of the patients after NACT. Of the 56 patients with axillary node positivity, 3 patients had no metastasis in the SLND evaluation (FNR=5.4%). The sensitivity of post-NACT MRI in detecting node positivity was 69.6%, the specificity was 90.2%, the positive predictive value (PPV) was 86.7% and the negative predictive value (NPV) was 76.4. SLND together with MRI predicted all node-positive patients (FNR=0%). In summary, SLND may not detect a group of patients with residual axillary lymph node metastases after NACT. We have shown that MRI can contribute to identifying these patients. If no metastases are detected by both methods (SLND and MRI), avoidance of axillary dissection may be an acceptable choice.

Prospective comparison of the value of CARG, G8, and VES-13 toxicity tools in predicting chemotherapy-related toxicity in older Turkish patients with cancer.

BACKGROUND: In older patients with cancer, it is very important to choose the appropriate treatment because they are at high risk for chemotherapy toxicity. Our study investigated characteristics of Cancer and Aging Research Group (CARG), Geriatric 8 (G8), and Vulnerable Elders Survey (VES-13) screening tools for predicting chemotherapy-related toxicity (CRT) prospectively. MATERIALS AND METHODS: 208 patients aged ≥65 years old for whom chemotherapy was planned to treat non-haematological cancer between February 2021-September 2021 were included in the study. The CARG, G8, and VES-13 toxicity tools were completed by the oncologist through face-to-face interviews before starting the first chemotherapy treatment. CRTs during chemotherapy were evaluated according to the National Cancer Institute's Common Terminology Criteria for Adverse Events v4.03. Logistic regression models, the area under the receiver operating characteristic curve (ROC-AUC), and correlation analyses were used for comparing questionnaires. RESULTS: Median age was 70.4 (range 65-86) years. Of the participants, 103 (49.5%) participants experienced grade 3-5 CRT (32.2% haematological, 28.4% non-haematological) during chemotherapy. ROC-AUC value of CARG was determined as 0.827 (95% CI [confidence interval]: 0.77-0.88, p < 0.001), it was determined as 0.744 (95% CI: 0.68-0.81, p < 0.001) for G8 and 0.726 (95% CI: 0.66-0.80, p < 0.001) for VES-13. In the univariate regression analysis, CARG (OR [odds ratio] = 13.57, 95% CI: 6.0-30.72, p < 0.001), G8 (OR = 3.19, 95% CI: 1.62-6.29, p = 0.001), and VES-13 (OR = 9.5, 95% CI: 5.01-17.89, p < 0.001) were found to be predictive for CRT. The multivariate analysis (included stage, Eastern Cooperative Oncology Group [ECOG] performance status, presence of comorbid disease, platinum-based treatment regimen, taxane-based treatment regimen, CARG, VES-13, G8) showed that CARG (OR = 12.08, 95% CI: 5.11-28.56, p < 0.001), VES-13 (OR = 10.06, 95% CI: 4.92-22.98, p < 0.001), and G8 (OR = 2.20, 95% CI: 1.04-4.69, p = 0.040) screening tools were strong predictors for CRT. The CARG and VES-13 questionnaires were predictive for reducing the initial treatment dose (p = 0.004, p = 0.004, respectively), interruption of treatment (p < 0.001, p < 0.001, respectively), discontinuing treatment (p = 0.002, p = 0.002, respectively), and unexpected hospitalisation (p = 0.012, p = 0.003, respectively). CONCLUSIONS: We showed that all three CARG, G8, and VES-13 questionnaires are helpful tools in the decision-making process for ideal chemotherapy to predict severe CRT; however, CARG and VES-13 questionnaires appear more useful in daily oncology practice than the G8 questionnaire.

The influence of visual objects and music on anxiety levels of breast cancer patients scheduled to experience chemotherapy for the first time: a prospective randomized clinical study.

OBJECTIVE: To investigate the influence of music together with visual objects as an ambiance in the waiting room on anxiety levels of breast cancer patients scheduled to receive chemotherapy in outpatient setting for the first time. MATERIAL AND METHOD: Breast cancer patients planned to receive adjuvant or neoadjuvant chemotherapy for the first time between November 1, 2020, and July 31, 2021, were included. Two designs, including a standard waiting room (StWR) and an intervention waiting room (IWR) that was created by adding music and visual objects to the standard room, were constructed. These 2 designs were repeated sequentially in monthly periods, and a total of 104 patients with 52 in each group were randomized. The State Trait Anxiety Inventory (STAI) and Hospital Anxiety and Depression Scale (HADs) were used for assessments. Results of the patients in StWR and IWR groups were compared. RESULTS: Both HADs anxiety and STAI-state anxiety scale scores were lower in patients who waited in IWR compared to those who waited in StWR (p = 0.041, p = 0.012, respectively). In patients in the IWR group, mean heart rate was lower by 7.6 bpm (p = 0.009). No difference was found between the groups with regard to HADs depression score and STAI-trait anxiety score (p = 0.305, p = 0.535, respectively). For all patients, HADs anxiety scale (r = 0.400, p = < 0.001) and STAI-state anxiety scale (r = 0.475, p = < 0.001) scores increased as the waiting time increased. DISCUSSION AND CONCLUSION: The present study is the first to investigate the influence of adding music together with visual objects to the standard ambiance of the chemotherapy waiting room on anxiety levels of breast cancer patients. We propose that introduction of paintings, artificial plants, and music to the ambiance of the waiting room has a significantly positive effect on alleviating anxiety levels of cancer patients waiting for chemotherapy.