Institution
Tata Memorial Hospital
Healthcare•Mumbai, India•
About: Tata Memorial Hospital is a healthcare organization based out in Mumbai, India. It is known for research contribution in the topics: Cancer & Breast cancer. The organization has 3187 authors who have published 4636 publications receiving 109143 citations.
Topics: Cancer, Breast cancer, Population, Radiation therapy, Carcinoma
Papers published on a yearly basis
Papers
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TL;DR: The biological behavior, treatment, and outcome of HIV-related esophageal cancer appear similar to the general population with this disease; the same screening and risk moderation strategies are likely to apply.
Abstract: Background As human immunodeficiency virus (HIV)-infected individuals are living longer, non–AIDS-defining cancers are becoming increasingly recognized. Primary esophageal tumors in people living with HIV have seldom been reported. We sought to document patient, virologic, and tumor characteristics and clinical outcomes in this patient group. Methods International physicians involved in the care of AIDS-defining and non–AIDS-defining cancers accrued cases of primary esophageal malignant neoplasms in HIV-infected individuals. Patient demographics, HIV status, cancer risk factors, esophageal tumor characteristics, treatment, and outcomes were analyzed. Results A total of 19 patients with primary adenocarcinoma and/or squamous cell carcinoma of the esophagus were identified. The median age was 48 years (range, 35-69 years) and the median CD4 lymphocyte count measured 376 cells/μL (range, 42 to >1000 cells/μL) (to convert to ×10 9 /L, multiply by 0.001). The majority of patients were men with a history of smoking or considerable alcohol consumption. Prior esophageal disease (reflux, peptic ulcers, and achalasia) was reported in almost half of all patients. Seven patients (37%) underwent surgical resection, 11 (58%) received fluorouracil-based chemotherapy, and 7 (37%) underwent radiotherapy; survival correlated with stage at cancer presentation. While the majority of patients died, only 5 deaths (26%) were attributed to progression of esophageal carcinoma. Conclusions Primary esophageal carcinoma is another non–AIDS-defining cancer associated with moderate immunosuppression and lifestyle habits including tobacco and alcohol use. The biological behavior, treatment, and outcome of HIV-related esophageal cancer appear similar to the general population with this disease; the same screening and risk moderation strategies are likely to apply.
24 citations
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TL;DR: Clinical validation of CAB suggests that CAB can effectively predict risk of distant recurrence with clear dichotomous high‐ or low‐risk categorization.
Abstract: CanAssist-Breast (CAB) is an immunohistochemistry (IHC)-based prognostic test for early-stage Hormone Receptor (HR+)-positive breast cancer patients. CAB uses a Support Vector Machine (SVM) trained algorithm which utilizes expression levels of five biomarkers (CD44, ABCC4, ABCC11, N-Cadherin, and Pan-Cadherin) and three clinical parameters such as tumor size, grade, and node status as inputs to generate a risk score and categorizes patients as low- or high-risk for distant recurrence within 5 years of diagnosis. In this study, we present clinical validation of CAB. CAB was validated using a retrospective cohort of 857 patients. All patients were treated either with endocrine therapy or chemoendocrine therapy. Risk categorization by CAB was analyzed by calculating Distant Metastasis-Free Survival (DMFS) and recurrence rates using Kaplan-Meier survival curves. Multivariate analysis was performed to calculate Hazard ratios (HR) for CAB high-risk vs low-risk patients. The results showed that Distant Metastasis-Free Survival (DMFS) was significantly different (P-0.002) between low- (DMFS: 95%) and high-risk (DMFS: 80%) categories in the endocrine therapy treated alone subgroup (n = 195) as well as in the total cohort (n = 857, low-risk DMFS: 95%, high-risk DMFS: 84%, P 74% of high Ki-67 and IHC4 score intermediate-risk zone patients into low-risk category. Overall the data suggest that CAB can effectively predict risk of distant recurrence with clear dichotomous high- or low-risk categorization.
24 citations
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TL;DR: The effect of a holistic support group approach coupled with prospective tracking on TxA in children with cancer in a limited‐resources environment is assessed.
Abstract: Background High cure rates of over 80% in childhood cancers reported from high-income countries (HICs) are not replicated in low- and middle-income countries (LMICs). Treatment abandonment (TxA) is an important reason for this poorer outcome. We assessed the effect of a holistic support group approach coupled with prospective tracking on TxA in children with cancer in a limited-resources environment. Methods In 2010, all existing nongovernmental organizations (NGOs) working with childhood cancer at our hospital were brought together to form a pediatric cancer foundation with the aim of providing holistic support to the patient and family, including financial, psychosocial, lodging, educational, and bereavement support. Simultaneously, prospective tracking of all children with a Time-Responsive Electronic Abandonment Tracking (TREAT) system was also established. The impact of these measures on TxA over the 2009-2016 period was compared using the log-rank test. Results The annual rate of abandonment reduced from 20% in 2009 to 10.4% in 2010 and 5.2% in 2011. It has been consistently between 3% and 6% from 2012 to 2016 (P -0.04). TxA after the initiation of treatment dropped from 9% in 2009 to 1% in 2016 (P -0.02), while refusal to initiate treatment dropped from 11% to 2.7% (P -0.23) over the same period. Conclusions A holistic support group consisting of the hospital team, as well as existing NGOs and governmental organizations, along with a systematic and prospective tracking system significantly reduced abandonment in a resource-constrained setting. This cost-effective holistic support group may be applicable in other LMICs with similar healthcare systems.
24 citations
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TL;DR: Ten cases with their clinicomorphological features, diagnosed over a 10-year period, were presented, with the maximum number of cases in the second decade and with male outnumbering female patients in the setting of neurofibromatosis.
24 citations
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TL;DR: Head and neck cancer has increased incidence of comorbidity due to tobacco and alcohol use and the number of patients diagnosed with the disease is increasing.
Abstract: Background
Head and neck cancer has increased incidence of comorbidity due to tobacco and alcohol use.
Methods
Two hundred consecutive patients were included in this cross-sectional study. Data on clinico-demographic characteristics and comorbidity was extracted from case records. Comorbidity was assessed with Adult Comorbidity Evaluation 27 (ACE-27) and Charlson Comorbidity Index (CCI). Change in therapeutic decision-making from institutional evidence-based guidelines was classified as low, medium, or high-impact.
Results
Of 200 patients, 68(34%) had comorbidity while 15 had multimorbidity. No change in therapeutic decision-making was seen in 139 patients (69.5%), 61patients (30.5%) had change from institutional evidence-based guidelines. There was strong positive correlation (Spearman's correlation coefficient = 0.80; p < .001) between ACE-27 and change in therapeutic decision-making. For CCI, there was moderate positive correlation (Spearman's correlation coefficient = 0.50; p < .001).
Conclusion
Comorbidity in patients with head and neck cancer can influence therapeutic decision-making. Prospective longitudinal rigorous collection of comorbidity data is warranted for correlation with outcomes. ACE-27 may be a clinically more meaningful tool for comorbidity assessment. © 2011 Wiley Periodicals, Inc. Head Neck, 2012
24 citations
Authors
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Name | H-index | Papers | Citations |
---|---|---|---|
Al B. Benson | 113 | 578 | 48364 |
Keitaro Matsuo | 97 | 818 | 37349 |
Ashish K. Jha | 87 | 503 | 30020 |
Noopur Raje | 82 | 506 | 27878 |
Muthupandian Ashokkumar | 76 | 511 | 20771 |
Snehal G. Patel | 73 | 367 | 16905 |
Rainu Kaushal | 58 | 232 | 16794 |
Ajit S. Puri | 54 | 369 | 9948 |
Jasbir S. Arora | 51 | 351 | 15696 |
Sudeep Sarkar | 48 | 273 | 10087 |
Ian T. Magrath | 47 | 107 | 8084 |
Pankaj Chaturvedi | 45 | 325 | 15871 |
Pradeep Kumar Gupta | 44 | 416 | 7181 |
Shiv K. Gupta | 43 | 150 | 8911 |
Kikkeri N. Naresh | 43 | 245 | 6264 |