Molecular Response Assessment with Immune Adaptive PERCIST in Lung Cancer Patients Treated with Nivolumab: Is It Better Than iRECIST?

Aims We compared the immune response evaluation criteria in solid tumors (iRECIST) with immune adaptive positron emission tomography response criteria in solid tumors (imPERCIST) in lung cancer patients treated with nivolumab. Materials and Methods Twenty lung cancer patients underwent fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) scan at baseline (PET-0), after four cycles (PET-1) and six to eight cycles (PET-2) of nivolumab were included. Kappa coefficient ( k ) was derived to see the level of agreement in two response criteria. Progression-free survival (PFS) curves were computed by the Kaplan-Meier method and compared with the Log Rank test. Univariate and multivariate regression for the percentage change in the sum of diameters (SoD), standard uptake value maximum (SUVmax), sum of metabolic tumor volume (SoMTV), and sum of total lesion glycolysis (SoTLG) was computed. A p -value less than 0.05 was considered significant. Results Kappa coefficient showed a substantial level of agreement (k 0.769) in two response criteria. Mean PFS in partial response, stable disease, and progressive disease (PD) patients in iRECIST and imPERCIST was 27.3, 17.7, 4.2, and 23.3, 18.8, 3.8 months, respectively. The Kaplan-Meier method with the log rank test showed a significant difference in PFS on intracomparison within both criteria; however, it was not significant on intercomparison. On univariate analysis, the percentage change in SoD, SoMTV, SoTLG was significant. However, on multivariate analysis, only percentage change in SoD was a significant predictor. Conclusions We concluded that imPERCIST was equally effective as currently recommended criteria iRECIST for response evaluation of nivolumab in lung cancer patients.

Ki-67 labeling index as a predictor of response to neoadjuvant chemotherapy in breast cancer.

AIMS: To investigate Ki-67 index with regard to its ability to predict achievement of pathologic complete response (pCR) to neoadjuvant chemotherapy (NACT) in breast cancer patient. MATERIAL AND METHODS: It was a prospective observational study, conducted in Department of Medical Oncology, Rajiv Gandhi Cancer Institute & Research Center (RGCIRC), New Delhi from February 2014 to March 2016. A total of 134 patients with Stage II/III breast cancer who underwent NACT followed by surgery at our center were enrolled and analyzed. Before starting the treatment, clinical, tumor-related and treatment-related factors were recorded. Response evaluation was done clinically and radiologically after completion of NACT and pathologically on the surgical specimen. We calculated Ki-67 cut-off of 35% to label it as high by area under Receiver operating characteristic curve analysis for prediction of pCR. RESULTS: Clinical complete response (cCR) was observed in 35/134 (26.1%) patients while pCR was observed in 32/134 (23.9%) patients. On univariate analysis, higher grade (III), high Ki-67 index (>35%) and number of chemotherapy cycles (>3) were associated with better CCR rates. On multivariate analysis, number of chemotherapy cycles (>3) and high Ki-67 index (>35%) were independent predictive factors. For the predictive factors of pCR, univariate analysis showed grade (III), estrogen receptor/progesterone receptor negativity, HER-2 positivity, number of chemotherapy cycles (>3), TNBC and high Ki-67 index (>35%) to be associated with higher pCR rates. On multivariate analysis, Ki-67 index >35% and HER-2 positivity were the only independent predictive factors of pCR. CONCLUSIONS: We suggest 35% as best cut-off for Ki-67 expression for predicting response to NACT and achievement of pCR. Validation of this cut-off is required in larger studies.

Profile of infections in renal transplant recipients from India.

BACKGROUND: Infectious disorders are a major cause of concern in renal transplant recipients (RTRs) leading to considerable morbidity and mortality. We studied the profile and outcomes of infectious disorders in a cohort of RTR. MATERIALS AND METHODS: In this prospective, observational study, we evaluated all RTR who presented with the features of infection. We also included asymptomatic patients with microbiological evidence of infection. We excluded patients with acute rejection, drug toxicity, and malignancy. Descriptive statistics were used to analyze the results. RESULTS: The study population (n = 45, 35 male and 10 female) had a mean age of 35.5 ± 10.4 years and follow-up after transplant was 2.1 ± 1.7 years. Urinary tract infection (UTI, n = 15) is the most common infection followed by tuberculosis (TB, n = 8), cytomegalovirus (n = 6), candidiasis (n = 7), and hepatitis (n = 11). Miscellaneous infections such as cryptosporidiosis and pneumocystis were seen in 10 patients. Simultaneous infections with two organisms were seen in 7 patients. Four patients succumbed to multiorgan dysfunction following sepsis, another 4 patients developed chronic graft dysfunction, while the remaining 35 RTR had a good graft function. CONCLUSION: Infectious complications are very common in the posttransplant period including UTI and TB. Further large scale studies are required to identify the potential risk factors leading to infections in RTR.