scholarly journals Priority Symptoms in Advanced Breast Cancer: Development and Initial Validation of the National Comprehensive Cancer Network-Functional Assessment of Cancer Therapy-Breast Cancer Symptom Index (NFBSI-16)

2012 ◽  
Vol 15 (1) ◽  
pp. 183-190 ◽  
Author(s):  
Sofia F. Garcia ◽  
Sarah K. Rosenbloom ◽  
Jennifer L. Beaumont ◽  
Douglas Merkel ◽  
Jamie H. Von Roenn ◽  
...  
Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 4792-4792
Author(s):  
Karen Kaiser ◽  
Sara Shaunfield ◽  
Kimberly Webster ◽  
Karen Keating ◽  
Lara Boyken ◽  
...  

Abstract Background and aims: Although indolent B-cell non-Hodgkin's lymphoma (iNHL) may occur without symptoms, the presence of symptoms often provides an important signal of disease activity and may negatively affect quality of life. Thus, valid measures of disease symptoms are important for clinical trials and patient care. We aimed to assess whether the National Comprehensive Cancer Network-Functional Assessment of Cancer Therapy Lymphoma Symptom Index-18 (NFLymSI-18) addresses a representative set of iNHL symptoms, treatment side effects, and emotional concerns. Methods: Eligible patients had a confirmed iNHL diagnosis and had received one or more lines of treatment. Patients were recruited during clinic visits; informed consent was obtained from interested patients. Data were collected via face-to-face semi-structured interviews in which patients described their symptoms, treatment side effects, and emotional concerns related to iNHL. Qualitative data were analyzed using NVivo10 and results were mapped to the NFLymSI-18 to assess content validity. Patient and expert input from the development of the NFLymSI-18 and literature on iNHL symptoms were reviewed to further inform the content validity assessment. Results: Data saturation was obtained by the 18th interview. Mean age of the 18 participants was 66.8 years (range 49-85). Fifty-six percent of the sample was male. Most participants (66.7%) had a college or advanced degree. When asked to describe their iNHL symptoms, patients most often discussed swelling (n=14), fatigue (n=12), and pain (n=8). The following symptoms were also mentioned by three patients each: anxiety, appetite loss, rash, sleep disruption, trouble breathing, and malaise. Treatment side effects spontaneously mentioned most often were fatigue (N=10), nausea (n=9), hair loss (N=8), cognitive problems (N=6), and weight loss (N=6). Emotional responses frequently mentioned included gratitude for life (N=11), worry (N=11), and feeling down (N=8). Mapping of NFLymSI-18 content to these patient concerns showed the instrument includes all of the most frequently-mentioned concerns. Some less frequently-mentioned concerns (i.e., rash, trouble breathing, malaise, fevers, hair loss, feeling down) are not covered by the instrument. Conclusion and Summary: Patients with iNHL reported a wide range of disease related symptoms; however, swelling, fatigue and pain were most common. This study supports the representativeness of existing NFLymSI-18 items for patients with iNHL. In particular, the instrument shows strong validity for the most commonly referenced patient symptoms. The diversity of additional symptoms reported by patients is consistent with the heterogeneous symptomology of iNHL. These less-frequently-endorsed symptoms, side effects, and emotional concerns, could be added to the NFLymSI-18 if one wished to have a more inclusive assessment of concerns associated with iNHL. Disclosures Keating: Bayer Pharmaceuticals, Inc.: Employment. Cella:GlaxoSmithKline: Consultancy, Research Funding; Abbvie, Inc.: Consultancy, Research Funding; Bristol-Meyers Squibb: Consultancy, Research Funding; Facit.org: Other: President; Alexion, Inc., Astellas, Biogen Idec, Celgene, Clovis Oncology, Inc., Daiichi Sankyo, Eli Lilly, Evidera, Inc., Exelixis, Fiborgen, Genetech, Helsinn Therapeutics, Inc., Immunogen, Ipsen Pharma, Janssen, Lexicon Pharmaceuticals, Inc., Merck, Novartis, Onc: Consultancy, Research Funding; Bayer Pharmaceuticals, Inc.: Consultancy, Research Funding.


2020 ◽  
Vol 13 (3) ◽  
Author(s):  
Hadi Zamanian ◽  
Mona Daryaafzoon ◽  
Mohammadali Amini-Tehrani ◽  
Zahra Taheri-Kharameh ◽  
Sahar Foroozanfar

2021 ◽  
Author(s):  
Gaik-Hong Soon ◽  
Seok Hwee Koo ◽  
Pei Ting Tan ◽  
Lawrence Soon-U Lee ◽  
Chee Kian Tham ◽  
...  

Abstract Background: Breast cancer is the top cancer suffered by women worldwide and has been identified to be the greatest killer for women living in Singapore. Unfortunately, most of breast cancer cases were detected only at later stage of disease development. This has crippled the effort of breast cancer therapy. As early detection of breast cancer could greatly improve the outcome of breast cancer therapy, it is of utmost importance to identify relevant biomarkers at the primitive stage of breast cancer development before the transformation of normal breast cells into cancerous cells. These biomarkers provide important clues leading to an efficient and targeted treatment approach in breast cancer preventive care.Methods: 455 breast cancer patients were consented to join this study. Buccal swabs were collected for genotyping on CYP2B6*6, CYP2C19 *2 & CYP2C19*3. The genotyping data were then compared to data collected from healthy individuals. Clinical data were collected from patient notes and analysed. All the statistical analyses were done using SPSS statistical software, version 19.0. Chi-square or Fisher’s Exact test were performed to examine the difference between subject’s characteristics for categorical variables and One-Way Anova was performed to assess age difference across alleles of CYP2B6*6, CYP2C19*2 and CYP2C19*3. Binary logistics regression was performed to identify demographic factors associated with breast cancer.Results: We reported thatCYP2B6*6 could be a risk factor leading to earlier onset of breast cancer among Indian population with OR found to be 1.69 (95% C.I.= 0.549-5.191, p=0.359). In the case of CYP2C19*2, OR is 1.57 for Malay (95% C.I. = 0.696-3.522, p=0.278); 1.15 for Chinese population (95% C.I. =0.862-1.545, p=0.335) and 1.03 for Indian (95% C.I. =0.301-3.496, p=0.968). CYP2C19*3 OR in Chinese population is 1.34 (95% C.I. =0.830-2.155, p=0.231) and 0.77 (95% C.I. =0.172-3.394, p=0.724) for Malay population. No CYP2C19*3 was detected in both cohorts of Indian patients and healthy controls. Conclusions: CYP2B6*6 and CYP2C19*2 polymorphisms may confer a risk for breast cancer development in Singaporean breast cancer patients. This is an exploratory study to identify potential breast cancer susceptibility gene polymorphisms, a bigger sample size study could be done to corroborate these findings in future studies.


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