Relevant bibliographies by topics / Nottingham Prognostic Index (NPI)

Academic literature on the topic 'Nottingham Prognostic Index (NPI)'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Nottingham Prognostic Index (NPI)"

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Akhtar, Zahid Mahmood, Rabia Altaf, Muhammad Shahbaz Amin, and Seema Butt. "Relationship of Nottingham Prognostic Index with prognostic parameters of breast carcinoma." Pakistan Journal of Medical and Health Sciences 16, no. 6 (June 22, 2022): 26–28. http://dx.doi.org/10.53350/pjmhs2216626.

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Background: Breast cancer (BC) is the commonest malignancy in the female and it is gaining its significance due to worldwide rising incidence. It is also important due to 2.5% higher incidence in Pakistan as compared to neighbouring countries. Nottingham prognostic index (NPI) is an important prognostic factor of BC. It provides information about survival and morbidity. There are significant variations in different studies. Aim: To carry out current study relating NPI with various histopathological parameters of BC. Methods: This was a descriptive cross-sectional study. The study was done at the Department of Pathology, King Edward Medical University Lahore with the collaboration of four surgical units of Mayo Hospital Lahore from 2010 to 2019. Total 137 cases of breast carcinoma were included. Information about age, grade, primary tumor size, axillary lymph node status and stage was entered in the pre designed proforma. NPI was calculated as 0.2xtumor size(cm)+lymph node grade. NPI was scored as excellent, good, moderate and poor and its correlation was calculated against primary tumor size, lymph node grade, tumor grade and stage. Results: We studied 137 cases of breast carcinoma with mean age 49.32±11.64 years. Mean NPI was 5.4±1.4 with range of 2.4 to 9.4. NPI scores in poor 65(47.4%) and moderate 61(44.5%) groups were significantly high as compared to good 10(7.3%) and excellent scores 1(0.7%). Most of the cases of poor NPI were in p T3 and p T4 whereas this was p T2 with moderate score. Poor score of NPI was significant in grade 3 which is in contrast to moderate score where grade 2 dominated the picture. Correlation of NPI with LNG was in favor of LNG 1 with good and moderate scores while LNG3 dominated in the poor group. In stage III, 49 cases (35.8%) were seen with poor score of NPI. Conclusion: NPI is an important prognostic parameter and it can be studied with different histopathological parameters to see correlation between them. In the current study majority of the cases of NPI scored at poor and moderate levels. Correlation coefficient was linear, strong and positive especially with LNG. Mean NPI has ascending correlation with these parameters. Thus NPI can be used as a prognostic indicator when comparing with histopathological parameters of BC. Keywords: Breast cancer, NPI, tumor grade, tumor stage, LNG
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Ball, G., C. Lemetre, A. R. Green, I. O. Ellis, and R. Blamey. "O-72 Remodeling the Nottingham Prognostic Index (NPI) for individual prognosis." European Journal of Cancer Supplements 8, no. 6 (September 2010): 27–28. http://dx.doi.org/10.1016/j.ejcsup.2010.06.073.

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Van Belle, V., J. Decock, W. Hendrickx, O. Brouckaert, S. Pintens, P. Moerman, H. Wildiers, et al. "Short-Term Prognostic Index for Breast Cancer: NPI or Lpi." Pathology Research International 2011 (December 28, 2011): 1–7. http://dx.doi.org/10.4061/2011/918408.

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Axillary lymph node involvement is an important prognostic factor for breast cancer survival but is confounded by the number of nodes examined. We compare the performance of the log odds prognostic index (Lpi), using a ratio of the positive versus negative lymph nodes, with the Nottingham Prognostic Index (NPI) for short-term breast cancer specific disease free survival. A total of 1818 operable breast cancer patients treated in the University Hospital of Leuven between 2000 and 2005 were included. The performance of the NPI and Lpi were compared on two levels: calibration and discrimination. The latter was evaluated using the concordance index (cindex), the number of patients in the extreme groups, and difference in event rates between these. The NPI had a significant higher cindex, but a significant lower percentage of patients in the extreme risk groups. After updating both indices, no significant differences between NPI and Lpi were noted.
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Morgan, D. A. L., D. M. Sibbering, M. Galea, I. O. Ellis, C. W. Elston, and R. W. Blamey. "Selection for adjuvant systemic therapy using the Nottingham prognostic index (NPI)." Breast 2, no. 3 (September 1993): 206. http://dx.doi.org/10.1016/0960-9776(93)90146-7.

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Shukla, Ashish, S. C. Jain, and Manish Swarnkar. "Correlation of axillary lymph nodes involvement and Nottingham prognostic index with various histopathologic prognostic factors in invasive breast carcinoma." International Surgery Journal 6, no. 4 (March 26, 2019): 1187. http://dx.doi.org/10.18203/2349-2902.isj20191055.

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Background: Breast cancer is the commonest cancer of urban Indian women and the second commonest in the rural women. The clinical management of this tumor relies on various prognostic factors, most importantly lymph node stage, tumor size and histologic grade. There have been attempts at integration of these factors into meaningful indices. The most widely used of these is the Nottingham prognostic index (NPI), this study was aimed to evaluate the NPI in a group of breast cancer patients and to correlate NPI with other clinical and histo-morphological features.Methods: This was a two-year prospective, observational study was done in the Department of Surgery, Tertiary Care Teaching Hospital of Maharashtra, India. A total of 50 patients who presented with invasive carcinoma of breast from October 2016 to October 2018 were enrolled.Results: Most of the patients belonged to the age group of 41 to 50 years (34%) and the mean age of patients in study was 51.18±11.93 years. Left breast was more affected (62%) than the right breast (38%). Majority of the cases had tumor size of <5 cm (70%) and the mean size of was 4.65±1.89 cms. Majority of the patients (62%) belonged to Bloom Richardson (BR) Grade II and 24% of the patients were ER and PR positive. Lymphovascular invasion was present in 74% of the patients. There was significant positive correlation between tumor size and lymph node involvement. Significant correlation was noted between NPI score and tumor size, positive lymph nodes and BR grade. The mean NPI scores in patients with lymphovascular invasion were noted as 4.92±1.05, compared to 4.83±0.93 among the patients in whom lymphovascular invasion was absent (p=0.779). The mean NPI scores in patients with ER-, PR- were slightly high (4.91±0.94) compared to ER+, PR+ patients (4.76±1.19) (p=0.778).Conclusions: NPI is an essential and valuable prognostic indicator, which should be incorporated in breast cancer reporting by the histopathologists and also primary tumor size, lymph node stage and histological grade which provides further guideline to treating clinicians to choose treatment modalities for the patient and in deciding to follow up plan as well.
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Wegscheider, Anne-Sophie, Bernhard Ulm, Kay Friedrichs, Christoph Lindner Lindner, and Axel Niendorf. "Altona Prognostic Index: A New Prognostic Index for ER-Positive and Her2-Negative Breast Cancer of No Special Type." Cancers 13, no. 15 (July 28, 2021): 3799. http://dx.doi.org/10.3390/cancers13153799.

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Breast cancer is a heterogeneous disease representing a number of different histopathologic and molecular types which should be taken into consideration if prognostic or predictive models are to be developed. The aim of the present study was to demonstrate the validity of the long-known Nottingham prognostic index (NPI) in a large retrospective study (n = 6654 women with a first primary unilateral and unifocal invasive breast cancer diagnosed and treated between April 1996 and October 2018; median follow-up time of breast cancer cases was 15.5 years [14.9–16.8]) from a single pathological institution. Furthermore, it was intended to develop an even superior risk stratification model considering an additional variable, namely the patient’s age at the time of diagnosis. Heterogeneity of these cases was addressed by focusing on estrogen receptor-positive as well as Her2-negative cases and taking the WHO-defined different tumor types into account. Calculating progression free survival Cox-regression and CART-analysis revealed significantly superior iAUC as well as concordance values in comparison to the NPI based stratification, leading to an alternative, namely the Altona prognostic index (API). The importance of the histopathological tumor type was corroborated by the fact that when calculated separately and in contrast to the most frequent so-called “No Special Type” (NST) carcinomas, neither NPI nor API could show valid prognostic stratification.
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Thangjam, D., S. K. Agrawal, S. Chatterjee, and R. Ahmed. "Nottingham Prognostic index (NPI) – a Simple Predictive Tool for Operable Breast Cancer." Clinical Oncology 29, no. 3 (March 2017): e75. http://dx.doi.org/10.1016/j.clon.2016.10.017.

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Fong, Y., J. Evans, D. Brook, J. Kenkre, P. Jarvis, and K. Gower-Thomas. "The Nottingham Prognostic Index: five- and ten-year data for all-cause Survival within a Screened Population." Annals of The Royal College of Surgeons of England 97, no. 2 (March 2015): 137–39. http://dx.doi.org/10.1308/003588414x14055925060514.

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Introduction The Nottingham Prognostic Index (NPI) is an established prognostication tool in the management of breast cancers (BCs). Latest ten-year survival data have demonstrated an improved outlook for each NPI category and the latest UK five- and ten-year survival from BC has been reported to be 85% and 77%, respectively. We compared survival of each NPI category for BCs diagnosed within the national breast screening service in Wales (Breast Test Wales (BTW)) to the latest data, and reviewed its validity in unselected cases within a screened population. Methods All women screened between 1998 and 2001 within BTW were included. The NPI score for each cancer was calculated using the size, nodal status, and grade of the primary tumour. Survival data (all-cause) were calculated after ten years of follow-up. Results In the three-year screening period, 199,082 women were screened. A total of 1,712 cancers were diagnosed, and 1,546 had data available for calculating the NPI. Overall five-year and ten-year survival was 94% and 82%, respectively. Conclusions Overall five-year and ten-year survival (all-cause) has improved even when compared with UK data for BC-specific survival. We found that the NPI remains valid for BC treatment, and that our data provide a reference for updating the all-cause survival of women diagnosed with BCs within a screened population.
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Zhou, Li, Maria Rueda, and Abedalrhman Alkhateeb. "Classification of Breast Cancer Nottingham Prognostic Index Using High-Dimensional Embedding and Residual Neural Network." Cancers 14, no. 4 (February 13, 2022): 934. http://dx.doi.org/10.3390/cancers14040934.

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The Nottingham Prognostics Index (NPI) is a prognostics measure that predicts operable primary breast cancer survival. The NPI value is calculated based on the size of the tumor, the number of lymph nodes, and the tumor grade. Next-generation sequencing advancements have led to measuring different biological indicators called multi-omics data. The availability of multi-omics data triggered the challenge of integrating and analyzing these various biological measures to understand the progression of the diseases. High-dimensional embedding techniques are incorporated to present the features in the lower dimension, i.e., in a 2-dimensional map. The dataset consists of three -omics: gene expression, copy number alteration (CNA), and mRNA from 1885 female patients. The model creates a gene similarity network (GSN) map for each omic using t-distributed stochastic neighbor embedding (t-SNE) before being merged into the residual neural network (ResNet) classification model. The aim of this work was to (i) extract multi-omics biomarkers that are associated with the prognosis and prediction of breast cancer survival; and (ii) build a prediction model for multi-class breast cancer NPI classes. We evaluated this model and compared it to different high-dimensional embedding techniques and neural network combinations. The proposed model outperformed the other methods with an accuracy of 98.48%, and the area under the curve (AUC) equals 0.9999. The findings in the literature confirm associations between some of the extracted omics and breast cancer prognosis and survival including CDCA5, IL17RB, MUC2, NOD2 and NXPH4 from the gene expression dataset; MED30, RAD21, EIF3H and EIF3E from the CNA dataset; and CENPA, MACF1, UGT2B7 and SEMA3B from the mRNA dataset.
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Hasby, Eiman Adel, and Rana Adel Khalifa. "Expression of CD74 in Invasive Breast Carcinoma: Its Relation to Nottingham Prognostic Index, Hormone Receptors, and HER2 Immunoprofile." Tumori Journal 103, no. 2 (February 11, 2016): 193–203. http://dx.doi.org/10.5301/tj.5000562.

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Purpose To study the immunohistochemical expression of CD74 in series of invasive breast carcinomas classified according to their estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) immunoprofile and explore its correlation to Nottingham Prognostic Index (NPI) and tumor pathologic stage to determine if it has a prognostic value. Methods A total of 160 cases of mammary carcinoma were classified broadly according to their ER, PR, and HER2 expression into luminal, HER2-positive, and triple-negative groups. The NPI was calculated and pathologic stage was recorded for each individual case and cases were classified into different prognostic groups. The CD74 expression was evaluated immunohistochemically and correlated to different prognostic variables. Results The CD74 immunohistochemical expression in invasive breast carcinoma was significantly higher in triple-negative tumors, higher tumor grades, presence of lymph nodal metastasis, higher tumor stages, and higher NPI scores. Conclusions The CD74 might be a useful prognostic indicator predicting poor outcome of patients with breast carcinoma. Its consistent expression in triple-negative breast carcinomas points to the need of further studies to test the possibility if it can be targeted in treatment of breast carcinoma, especially in such groups.
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Book chapters on the topic "Nottingham Prognostic Index (NPI)"

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O., Mohammad Mehdi Owrang, Yasmine M. Kanaan, Robert L. Copeland Jr., Melvin Gaskins, and Robert L. DeWitty Jr. "Exploratory Data Analysis on Breast Cancer Prognosis." In Encyclopedia of Information Science and Technology, Fourth Edition, 1794–805. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2255-3.ch156.

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Breast cancer prognosis is a vital element of providing effective treatment for breast cancer patients. Breast cancer prediction survivability has mainly been studied based on pathological factors such as tumor size, tumor grade, number of positive lymph nodes, and hormone receptors among others. This chapter looks at the significance of the non-clinical prognostic factors of age, ethnicity, and marital status in finding the prognosis for breast cancer patients. The National Cancer Institute's SEER data and the Howard University Cancer Center Tumor Registry data are analyzed. Prognostic tool NPI (Nottingham Prognostic Index) and survival analysis tools of Cox proportional hazards and Kaplan-Meier survival curve are used in analyzing the experiments. The results suggest that age, ethnicity, and marital status have some influence on the survivability rate of breast cancer patients.
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O., Mohammad Mehdi Owrang, Yasmine M. Kanaan, Robert L. Copeland Jr., Melvin Gaskins, and Robert L. DeWitty Jr. "Exploratory Data Analysis on Breast Cancer Prognosis." In Advances in Computer and Electrical Engineering, 367–80. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7598-6.ch027.

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Breast cancer prognosis is a vital element of providing effective treatment for breast cancer patients. Breast cancer prediction survivability has mainly been studied based on pathological factors such as tumor size, tumor grade, number of positive lymph nodes, and hormone receptors among others. This chapter looks at the significance of the non-clinical prognostic factors of age, ethnicity, and marital status in finding the prognosis for breast cancer patients. The National Cancer Institute's SEER data and the Howard University Cancer Center Tumor Registry data are analyzed. Prognostic tool NPI (Nottingham Prognostic Index) and survival analysis tools of Cox proportional hazards and Kaplan-Meier survival curve are used in analyzing the experiments. The results suggest that age, ethnicity, and marital status have some influence on the survivability rate of breast cancer patients.
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Conference papers on the topic "Nottingham Prognostic Index (NPI)"

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Green, Andrew R., Daniel Soria, Jacqueline Stephen, Desmond G. Powe, Christopher C. Nolan, Ian Kunkler, Jeremy Thomas, et al. "Abstract P5-09-01: Nottingham prognostic index plus (NPI+): Validation of the modern clinical decision making tool in breast cancer." In Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium; December 9-13, 2014; San Antonio, TX. American Association for Cancer Research, 2015. http://dx.doi.org/10.1158/1538-7445.sabcs14-p5-09-01.

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Parise, C., and V. Caggiano. "Abstract P5-12-08: Survival differences by stage and race/ethnicity using the Nottingham prognostic index." In Abstracts: Thirty-Sixth Annual CTRC-AACR San Antonio Breast Cancer Symposium - Dec 10-14, 2013; San Antonio, TX. American Association for Cancer Research, 2013. http://dx.doi.org/10.1158/0008-5472.sabcs13-p5-12-08.

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Caggiano, V., and C. Parise. "Abstract P2-11-14: Does the Nottingham prognostic index further refine survival within the breast cancer subtypes?" In Abstracts: Thirty-Sixth Annual CTRC-AACR San Antonio Breast Cancer Symposium - Dec 10-14, 2013; San Antonio, TX. American Association for Cancer Research, 2013. http://dx.doi.org/10.1158/0008-5472.sabcs13-p2-11-14.

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Serrero, Ginette, Douglas Hawkins, Olga Ioffe, Pablo Bejarano, and Binbin Yue. "Abstract 677: Progranulin/GP88 tumor tissue expression further stratifies survival outcomes of patients classified by their Nottingham Prognostic Index." In Proceedings: AACR Annual Meeting 2017; April 1-5, 2017; Washington, DC. American Association for Cancer Research, 2017. http://dx.doi.org/10.1158/1538-7445.am2017-677.

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Masarwah, A., M. Sudah, A. Sutela, A. Päivi, and V. Ritva. "Abstract P5-08-41: Prognostic contribution of mammographic breast density and HER-2 overexpression to the Nottingham prognostic index in patients with invasive breast cancer." In Abstracts: Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium; December 8-12, 2015; San Antonio, TX. American Association for Cancer Research, 2016. http://dx.doi.org/10.1158/1538-7445.sabcs15-p5-08-41.

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Serrero, G., DM Hawkins, PA Bejarano, O. Ioffe, KR Tkaczuk, RE Elliott, JF Head, et al. "Abstract P1-03-06: Improvement in risk predictive value of Nottingham prognostic index by determining GP88 tumor tissue expression for estrogen receptor positive breast cancer patients." In Abstracts: 2016 San Antonio Breast Cancer Symposium; December 6-10, 2016; San Antonio, Texas. American Association for Cancer Research, 2017. http://dx.doi.org/10.1158/1538-7445.sabcs16-p1-03-06.

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