Search

Your search keyword '"Taib, Nur Aishah"' showing total 686 results
Start Over Author "Taib, Nur Aishah"
686 results on '"Taib, Nur Aishah"'

3. Incorporating progesterone receptor expression into the PREDICT breast prognostic model

Author

Grootes, Isabelle, Keeman, Renske, Blows, Fiona M, Milne, Roger L, Giles, Graham G, Swerdlow, Anthony J, Fasching, Peter A, Abubakar, Mustapha, Andrulis, Irene L, Anton-Culver, Hoda, Beckmann, Matthias W, Blomqvist, Carl, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Briceno, Ignacio, Burwinkel, Barbara, Camp, Nicola J, Castelao, Jose E, Choi, Ji-Yeob, Clarke, Christine L, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Devilee, Peter, Dörk, Thilo, Dunning, Alison M, Dwek, Miriam, Easton, Douglas F, Eccles, Diana M, Eriksson, Mikael, Ernst, Kristina, Evans, D Gareth, Figueroa, Jonine D, Fink, Visnja, Floris, Giuseppe, Fox, Stephen, Gabrielson, Marike, Gago-Dominguez, Manuela, García-Sáenz, José A, González-Neira, Anna, Haeberle, Lothar, Haiman, Christopher A, Hall, Per, Hamann, Ute, Harkness, Elaine F, Hartman, Mikael, Hein, Alexander, Hooning, Maartje J, Hou, Ming-Feng, Howell, Sacha J, Investigators, ABCTB, Investigators, kConFab, Ito, Hidemi, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Jung, Audrey, Kang, Daehee, Kristensen, Vessela N, Kwong, Ava, Lambrechts, Diether, Li, Jingmei, Lubiński, Jan, Manoochehri, Mehdi, Margolin, Sara, Matsuo, Keitaro, Taib, Nur Aishah Mohd, Mulligan, Anna Marie, Nevanlinna, Heli, Newman, William G, Offit, Kenneth, Osorio, Ana, Park, Sue K, Park-Simon, Tjoung-Won, Patel, Alpa V, Presneau, Nadege, Pylkäs, Katri, Rack, Brigitte, Radice, Paolo, Rennert, Gad, Romero, Atocha, Saloustros, Emmanouil, Sawyer, Elinor J, Schneeweiss, Andreas, Schochter, Fabienne, Schoemaker, Minouk J, Shen, Chen-Yang, Shibli, Rana, Sinn, Peter, Tapper, William J, Tawfiq, Essa, Teo, Soo Hwang, Teras, Lauren R, Torres, Diana, Vachon, Celine M, van Deurzen, Carolien HM, Wendt, Camilla, and Williams, Justin A

Subjects
Cancer, Breast Cancer, Breast Neoplasms, Female, Humans, Progesterone, Prognosis, Receptor, ErbB-2, Receptors, Progesterone, PREDICT Breast, breast cancer, Progesterone receptor, ABCTB Investigators, kConFab Investigators, Receptor, erbB-2, Oncology and Carcinogenesis, Public Health and Health Services, Oncology & Carcinogenesis
Abstract

BackgroundPredict Breast (www.predict.nhs.uk) is an online prognostication and treatment benefit tool for early invasive breast cancer. The aim of this study was to incorporate the prognostic effect of progesterone receptor (PR) status into a new version of PREDICT and to compare its performance to the current version (2.2).MethodThe prognostic effect of PR status was based on the analysis of data from 45,088 European patients with breast cancer from 49 studies in the Breast Cancer Association Consortium. Cox proportional hazard models were used to estimate the hazard ratio for PR status. Data from a New Zealand study of 11,365 patients with early invasive breast cancer were used for external validation. Model calibration and discrimination were used to test the model performance.ResultsHaving a PR-positive tumour was associated with a 23% and 28% lower risk of dying from breast cancer for women with oestrogen receptor (ER)-negative and ER-positive breast cancer, respectively. The area under the ROC curve increased with the addition of PR status from 0.807 to 0.809 for patients with ER-negative tumours (p = 0.023) and from 0.898 to 0.902 for patients with ER-positive tumours (p = 2.3 × 10-6) in the New Zealand cohort. Model calibration was modest with 940 observed deaths compared to 1151 predicted.ConclusionThe inclusion of the prognostic effect of PR status to PREDICT Breast has led to an improvement of model performance and more accurate absolute treatment benefit predictions for individual patients. Further studies should determine whether the baseline hazard function requires recalibration.

Published
2022

8. Age-specific breast and ovarian cancer risks associated with germline BRCA1 or BRCA2 pathogenic variants – an Asian study of 572 families

Author

Kiat-Tee Tan, Benita, Tan, Su-Ming, Mien Tan, Veronique Kiak, Tan, Ern Yu, Lim, Geok Hoon, Khng, Alexis, Ch’ng, Gaik-Siew, Omar, Jamil, Yong, Chee-Meng, Aliyas, Ismail, Malik, Rozita Abdul, Subramaniam, Suguna, Sim, Wee-Wee, Lim, Chun Sen, Lee, Saw-Joo, Lim, Keng-Joo, Shafiee, Mohamad Nasir, Ismail, Fuad Ismail, Ismail, Mohd Pazudin, Mohamed Jamli, Mohamad Faiz, Kumarasamy, Suresh, Low, John S.H., Ahmad Mustafa, Ahmad Muzamir, Makanjang, Mary J., Taib, Shahila, Cheah, Nellie, Fong, Chee-Kin, Ho, Kean-Fatt, Deniel, Azura, Ang, Soo Fan, Ahmad Badruddin, Ahmad Radzi, Tho, Lye-Mun, Ho, Weang-Kee, Hassan, Nur Tiara, Yoon, Sook-Yee, Yang, Xin, Lim, Joanna M.C., Binte Ishak, Nur Diana, Ho, Peh Joo, Wijaya, Eldarina A., Ng, Patsy Pei-Sze, Luccarini, Craig, Allen, Jamie, Tai, Mei-Chee, Chiang, Jianbang, Zhang, Zewen, See, Mee-Hoong, Thong, Meow-Keong, Woo, Yin-Ling, Dunning, Alison M., Hartman, Mikael, Yip, Cheng-Har, Mohd Taib, Nur Aishah, Easton, Douglas F., Li, Jingmei, Ngeow, Joanne, Antoniou, Antonis C., and Teo, Soo-Hwang

Published
2024
Full Text
View/download PDF

9. Classification of Breast Cancer Lesions in Ultrasound Images by using Attention Layer and loss Ensembles in Deep Convolutional Neural Networks

Author

Kalaf, Elham Yousef, Jodeiri, Ata, Setarehdan, Seyed Kamaledin, Lin, Ng Wei, Rahman, Kartini Binti, Taib, Nur Aishah, and Dhillon, Sarinder Kaur

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Reliable classification of benign and malignant lesions in breast ultrasound images can provide an effective and relatively low cost method for early diagnosis of breast cancer. The accuracy of the diagnosis is however highly dependent on the quality of the ultrasound systems and the experience of the users (radiologists). The leverage in deep convolutional neural network approaches provided solutions in efficient analysis of breast ultrasound images. In this study, we proposed a new framework for classification of breast cancer lesions by use of an attention module in modified VGG16 architecture. We also proposed new ensembled loss function which is the combination of binary cross-entropy and logarithm of the hyperbolic cosine loss to improve the model discrepancy between classified lesions and its labels. Networks trained from pretrained ImageNet weights, and subsequently fine-tuned with ultrasound datasets. The proposed model in this study outperformed other modified VGG16 architectures with the accuracy of 93% and also the results are competitive with other state of the art frameworks for classification of breast cancer lesions. In this study, we employed transfer learning approaches with the pre-trained VGG16 architecture. Different CNN models for classification task were trained to predict benign or malignant lesions in breast ultrasound images. Our Experimental results show that the choice of loss function is highly important in classification task and by adding an attention block we could empower the performance our model.

Published
2021

12. Gene-Environment Interactions Relevant to Estrogen and Risk of Breast Cancer: Can Gene-Environment Interactions Be Detected Only among Candidate SNPs from Genome-Wide Association Studies?

Author

Park, JooYong, Choi, Ji-Yeob, Choi, Jaesung, Chung, Seokang, Song, Nan, Park, Sue K, Han, Wonshik, Noh, Dong-Young, Ahn, Sei-Hyun, Lee, Jong Won, Kim, Mi Kyung, Jee, Sun Ha, Wen, Wanqing, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Michailidou, Kyriaki, Shah, Mitul, Conroy, Don M, Harrington, Patricia A, Mayes, Rebecca, Czene, Kamila, Hall, Per, Teras, Lauren R, Patel, Alpa V, Couch, Fergus J, Olson, Janet E, Sawyer, Elinor J, Roylance, Rebecca, Bojesen, Stig E, Flyger, Henrik, Lambrechts, Diether, Baten, Adinda, Matsuo, Keitaro, Ito, Hidemi, Guénel, Pascal, Truong, Thérèse, Keeman, Renske, Schmidt, Marjanka K, Wu, Anna H, Tseng, Chiu-Chen, Cox, Angela, Cross, Simon S, kConFab Investigators, Andrulis, Irene L, Hopper, John L, Southey, Melissa C, Wu, Pei-Ei, Shen, Chen-Yang, Fasching, Peter A, Ekici, Arif B, Muir, Kenneth, Lophatananon, Artitaya, Brenner, Hermann, Arndt, Volker, Jones, Michael E, Swerdlow, Anthony J, Hoppe, Reiner, Ko, Yon-Dschun, Hartman, Mikael, Li, Jingmei, Mannermaa, Arto, Hartikainen, Jaana M, Benitez, Javier, González-Neira, Anna, Haiman, Christopher A, Dörk, Thilo, Bogdanova, Natalia V, Teo, Soo Hwang, Mohd Taib, Nur Aishah, Fletcher, Olivia, Johnson, Nichola, Grip, Mervi, Winqvist, Robert, Blomqvist, Carl, Nevanlinna, Heli, Lindblom, Annika, Wendt, Camilla, Kristensen, Vessela N, Nbcs Collaborators, Tollenaar, Rob AEM, Heemskerk-Gerritsen, Bernadette AM, Radice, Paolo, Bonanni, Bernardo, Hamann, Ute, Manoochehri, Mehdi, Lacey, James V, Martinez, Maria Elena, Dunning, Alison M, Pharoah, Paul DP, Easton, Douglas F, Yoo, Keun-Young, and Kang, Daehee

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Human Genome, Estrogen, Prevention, Aging, Genetics, Women's Health, Clinical Research, Cancer, Breast Cancer, 2.1 Biological and endogenous factors, breast cancer, estrogen, gene-environment interaction, Oncology and carcinogenesis
Abstract

In this study we aim to examine gene-environment interactions (GxEs) between genes involved with estrogen metabolism and environmental factors related to estrogen exposure. GxE analyses were conducted with 1970 Korean breast cancer cases and 2052 controls in the case-control study, the Seoul Breast Cancer Study (SEBCS). A total of 11,555 SNPs from the 137 candidate genes were included in the GxE analyses with eight established environmental factors. A replication test was conducted by using an independent population from the Breast Cancer Association Consortium (BCAC), with 62,485 Europeans and 9047 Asians. The GxE tests were performed by using two-step methods in GxEScan software. Two interactions were found in the SEBCS. The first interaction was shown between rs13035764 of NCOA1 and age at menarche in the GE|2df model (p-2df = 1.2 × 10-3). The age at menarche before 14 years old was associated with the high risk of breast cancer, and the risk was higher when subjects had homozygous minor allele G. The second GxE was shown between rs851998 near ESR1 and height in the GE|2df model (p-2df = 1.1 × 10-4). Height taller than 160 cm was associated with a high risk of breast cancer, and the risk increased when the minor allele was added. The findings were not replicated in the BCAC. These results would suggest specificity in Koreans for breast cancer risk.

Published
2021

14. Relevance of the MHC region for breast cancer susceptibility in Asians

Author

Ho, Peh Joo, Khng, Alexis Jiaying, Tan, Benita Kiat-Tee, Tan, Ern Yu, Tan, Su-Ming, Tan, Veronique Kiak Mien, Lim, Geok Hoon, Aronson, Kristan J., Chan, Tsun L., Choi, Ji-Yeob, Dennis, Joe, Ho, Weang-Kee, Hou, Ming-Feng, Ito, Hidemi, Iwasaki, Motoki, John, Esther M., Kang, Daehee, Kim, Sung-Won, Kurian, Allison W., Kwong, Ava, Lophatananon, Artitaya, Matsuo, Keitaro, Mohd-Taib, Nur Aishah, Muir, Kenneth, Murphy, Rachel A., Park, Sue K., Shen, Chen-Yang, Shu, Xiao-Ou, Teo, Soo Hwang, Wang, Qin, Yamaji, Taiki, Zheng, Wei, Bolla, Manjeet K., Dunning, Alison M., Easton, Douglas F., Pharoah, Paul D. P., Hartman, Mikael, and Li, Jingmei

Published
2022
Full Text
View/download PDF

17. Overlap of high-risk individuals predicted by family history, and genetic and non-genetic breast cancer risk prediction models: implications for risk stratification

Author

Ho, Peh Joo, Ho, Weang Kee, Khng, Alexis J., Yeoh, Yen Shing, Tan, Benita Kiat-Tee, Tan, Ern Yu, Lim, Geok Hoon, Tan, Su-Ming, Tan, Veronique Kiak Mien, Yip, Cheng-Har, Mohd-Taib, Nur-Aishah, Wong, Fuh Yong, Lim, Elaine Hsuen, Ngeow, Joanne, Chay, Wen Yee, Leong, Lester Chee Hao, Yong, Wei Sean, Seah, Chin Mui, Tang, Siau Wei, Ng, Celene Wei Qi, Yan, Zhiyan, Lee, Jung Ah, Rahmat, Kartini, Islam, Tania, Hassan, Tiara, Tai, Mei-Chee, Khor, Chiea Chuen, Yuan, Jian-Min, Koh, Woon-Puay, Sim, Xueling, Dunning, Alison M., Bolla, Manjeet K., Antoniou, Antonis C., Teo, Soo-Hwang, Li, Jingmei, and Hartman, Mikael

Published
2022
Full Text
View/download PDF

18. Breast cancer risks associated with missense variants in breast cancer susceptibility genes

Author

Dorling, Leila, Carvalho, Sara, Allen, Jamie, Parsons, Michael T., Fortuno, Cristina, González-Neira, Anna, Heijl, Stephan M., Adank, Muriel A., Ahearn, Thomas U., Andrulis, Irene L., Auvinen, Päivi, Becher, Heiko, Beckmann, Matthias W., Behrens, Sabine, Bermisheva, Marina, Bogdanova, Natalia V., Bojesen, Stig E., Bolla, Manjeet K., Bremer, Michael, Briceno, Ignacio, Camp, Nicola J., Campbell, Archie, Castelao, Jose E., Chang-Claude, Jenny, Chanock, Stephen J., Chenevix-Trench, Georgia, Collée, J. Margriet, Czene, Kamila, Dennis, Joe, Dörk, Thilo, Eriksson, Mikael, Evans, D. Gareth, Fasching, Peter A., Figueroa, Jonine, Flyger, Henrik, Gabrielson, Marike, Gago-Dominguez, Manuela, García-Closas, Montserrat, Giles, Graham G., Glendon, Gord, Guénel, Pascal, Gündert, Melanie, Hadjisavvas, Andreas, Hahnen, Eric, Hall, Per, Hamann, Ute, Harkness, Elaine F., Hartman, Mikael, Hogervorst, Frans B. L., Hollestelle, Antoinette, Hoppe, Reiner, Howell, Anthony, Jakubowska, Anna, Jung, Audrey, Khusnutdinova, Elza, Kim, Sung-Won, Ko, Yon-Dschun, Kristensen, Vessela N., Lakeman, Inge M. M., Li, Jingmei, Lindblom, Annika, Loizidou, Maria A., Lophatananon, Artitaya, Lubiński, Jan, Luccarini, Craig, Madsen, Michael J., Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Mavroudis, Dimitrios, Milne, Roger L., Mohd Taib, Nur Aishah, Muir, Kenneth, Nevanlinna, Heli, Newman, William G., Oosterwijk, Jan C., Park, Sue K., Peterlongo, Paolo, Radice, Paolo, Saloustros, Emmanouil, Sawyer, Elinor J., Schmutzler, Rita K., Shah, Mitul, Sim, Xueling, Southey, Melissa C., Surowy, Harald, Suvanto, Maija, Tomlinson, Ian, Torres, Diana, Truong, Thérèse, van Asperen, Christi J., Waltes, Regina, Wang, Qin, Yang, Xiaohong R., Pharoah, Paul D. P., Schmidt, Marjanka K., Benitez, Javier, Vroling, Bas, Dunning, Alison M., Teo, Soo Hwang, Kvist, Anders, de la Hoya, Miguel, Devilee, Peter, Spurdle, Amanda B., Vreeswijk, Maaike P. G., and Easton, Douglas F.

Published
2022
Full Text
View/download PDF

21. Age-specific breast and ovarian cancer risks associated with germline BRCA1 or BRCA2 pathogenic variants – an Asian study of 572 families

Author

Ho, Weang-Kee, primary, Hassan, Nur Tiara, additional, Yoon, Sook-Yee, additional, Yang, Xin, additional, Lim, Joanna M.C., additional, Binte Ishak, Nur Diana, additional, Ho, Peh Joo, additional, Wijaya, Eldarina A., additional, Ng, Patsy Pei-Sze, additional, Luccarini, Craig, additional, Allen, Jamie, additional, Tai, Mei-Chee, additional, Chiang, Jianbang, additional, Zhang, Zewen, additional, See, Mee-Hoong, additional, Thong, Meow-Keong, additional, Woo, Yin-Ling, additional, Dunning, Alison M., additional, Hartman, Mikael, additional, Yip, Cheng-Har, additional, Mohd Taib, Nur Aishah, additional, Easton, Douglas F., additional, Li, Jingmei, additional, Ngeow, Joanne, additional, Antoniou, Antonis C., additional, Teo, Soo-Hwang, additional, Kiat-Tee Tan, Benita, additional, Tan, Su-Ming, additional, Mien Tan, Veronique Kiak, additional, Tan, Ern Yu, additional, Lim, Geok Hoon, additional, Khng, Alexis, additional, Ch’ng, Gaik-Siew, additional, Omar, Jamil, additional, Yong, Chee-Meng, additional, Aliyas, Ismail, additional, Malik, Rozita Abdul, additional, Subramaniam, Suguna, additional, Sim, Wee-Wee, additional, Lim, Chun Sen, additional, Lee, Saw-Joo, additional, Lim, Keng-Joo, additional, Shafiee, Mohamad Nasir, additional, Ismail, Fuad Ismail, additional, Ismail, Mohd Pazudin, additional, Mohamed Jamli, Mohamad Faiz, additional, Kumarasamy, Suresh, additional, Low, John S.H., additional, Ahmad Mustafa, Ahmad Muzamir, additional, Makanjang, Mary J., additional, Taib, Shahila, additional, Cheah, Nellie, additional, Fong, Chee-Kin, additional, Ho, Kean-Fatt, additional, Deniel, Azura, additional, Ang, Soo Fan, additional, Ahmad Badruddin, Ahmad Radzi, additional, and Tho, Lye-Mun, additional

Published
2024
Full Text
View/download PDF

25. Gene expression signature for predicting homologous recombination deficiency in triple-negative breast cancer.

Author

Pan, Jia-Wern, Tan, Zi-Ching, Ng, Pei-Sze, Zabidi, Muhammad Mamduh Ahmad, Nur Fatin, Putri, Teo, Jie-Ying, Hasan, Siti Norhidayu, Islam, Tania, Teoh, Li-Ying, Jamaris, Suniza, See, Mee-Hoong, Yip, Cheng-Har, Rajadurai, Pathmanathan, Looi, Lai-Meng, Taib, Nur Aishah Mohd, Rueda, Oscar M., Caldas, Carlos, Chin, Suet-Feung, Lim, Joanna, and Teo, Soo-Hwang

Published
2024
Full Text
View/download PDF

27. Clustering of HR+/HER2- breast cancer in an Asian cohort is driven by immune phenotypes

Author

Pan, Jia-Wern, primary, Ragu, Mohana Eswari, additional, Chan, Wei-Qin, additional, Hasan, Siti Norhidayu, additional, Islan, Tania, additional, Teoh, Li-Ying, additional, Jamaris, Suniza, additional, See, Mee-Hoong, additional, Yip, Cheng-Har, additional, Rajadurai, Pathmanathan, additional, Looi, Lai-Meng, additional, Mohd Taib, Nur Aishah, additional, Rueda, Oscar M, additional, Caldas, Carlos, additional, Chin, Suet-Feung, additional, Lim, Joanna, additional, and Teo, Soo-Hwang, additional

Published
2023
Full Text
View/download PDF

28. Germline breast cancer susceptibility genes, tumor characteristics, and survival

Author

Ho, Peh Joo, Khng, Alexis J., Loh, Hui Wen, Ho, Weang-Kee, Yip, Cheng Har, Mohd-Taib, Nur Aishah, Tan, Veronique Kiak Mien, Tan, Benita Kiat-Tee, Tan, Su-Ming, Tan, Ern Yu, Lim, Swee Ho, Jamaris, Suniza, Sim, Yirong, Wong, Fuh Yong, Ngeow, Joanne, Lim, Elaine Hsuen, Tai, Mei Chee, Wijaya, Eldarina Azfar, Lee, Soo Chin, Chan, Ching Wan, Buhari, Shaik Ahmad, Chan, Patrick M. Y., Chen, Juliana J. C., Seah, Jaime Chin Mui, Lee, Wai Peng, Mok, Chi Wei, Lim, Geok Hoon, Woo, Evan, Kim, Sung-Won, Lee, Jong Won, Lee, Min Hyuk, Park, Sue K., Dunning, Alison M., Easton, Douglas F., Schmidt, Marjanka K., Teo, Soo-Hwang, Li, Jingmei, and Hartman, Mikael

Published
2021
Full Text
View/download PDF

33. The development and evaluation of a mHealth, community education and navigation intervention to improve clinical breast examination uptake in Segamat Malaysia: A randomised controlled trial

Author

Schliemann, Désirée, primary, Jamil, Aminatul Saadiah Abdul, additional, Mohan, Devi, additional, Tan, Min Min, additional, Cardwell, Christopher R., additional, Ismail, Roshidi, additional, Taib, Nur Aishah, additional, Su, Tin Tin, additional, and Donnelly, Michael, additional

Published
2023
Full Text
View/download PDF

34. MRI of Breast Lymphoma: A Report of Two Cases with Emphasis on Diffusion Weighted Imaging and Apparent Diffusion Coefficient Value

Author

Tanty Ramli Hamid Marlina, Syakimah Saidi Noor Laily, Kamila Abu Bakar Fatimah, Tan Ling Ling Sharon, Abdul Hamid Shamsiah, Krishnapillai Vijayalakshmi, Mohd Taib Nur Aishah, and Rahmat Kartini

Subjects
Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Breast lymphoma is a rare neoplasm that accounts for approximately 0.04-0.5% of breast malignancies. Most breast lymphomas are B-cell type non-Hodgkin lymphomas. The imaging features of breast lymphoma on mammography and ultrasound are nonspecific. There have been several reports on magnetic resonance imaging characteristics of breast lymphoma but only few have described features on diffusion weighted imaging. Herein, we describe the magnetic resonance imaging findings, with emphasis on diffusion weighted imaging and the apparent diffusion coefficient sequences, of two cases of breast lymphoma and compare them with the magnetic resonance imaging features reported in the literature.

Published
2019
Full Text
View/download PDF

38. Abstract 76: The “Knowledge-To-Action” Process Model for Cancer Control Stakeholder Engagement for the REBUNG Selangor, Malaysia

Author

Taib, Nur Aishah, primary, Sa’at, Hamizah, additional, Hadi, Haireen Abdul, additional, Lee, Yew Kong, additional, Lai, Suat Yan, additional, Lothfi, Nurhyikmah, additional, Saad, Norhashimi, additional, Chow, Suet Yin, additional, Ayadurai, Vicky, additional, Jamarish, Suniza, additional, See, Boon Kiong, additional, Abdullah, Zainab, additional, Munisamy, Murallitharan, additional, McCarthy, Sylvia, additional, Mustapha, Wan Hilya Munira, additional, Said, Zakiah Mohd, additional, Tamin, Nor Saleha Ibrahim, additional, and Mustapha, Feisul, additional

Published
2023
Full Text
View/download PDF

40. European polygenic risk score for prediction of breast cancer shows similar performance in Asian women

Author

Ho, Weang-Kee, Tan, Min-Min, Mavaddat, Nasim, Tai, Mei-Chee, Mariapun, Shivaani, Li, Jingmei, Ho, Peh-Joo, Dennis, Joe, Tyrer, Jonathan P., Bolla, Manjeet K., Michailidou, Kyriaki, Wang, Qin, Kang, Daehee, Choi, Ji-Yeob, Jamaris, Suniza, Shu, Xiao-Ou, Yoon, Sook-Yee, Park, Sue K., Kim, Sung-Won, Shen, Chen-Yang, Yu, Jyh-Cherng, Tan, Ern Yu, Chan, Patrick Mun Yew, Muir, Kenneth, Lophatananon, Artitaya, Wu, Anna H., Stram, Daniel O., Matsuo, Keitaro, Ito, Hidemi, Chan, Ching Wan, Ngeow, Joanne, Yong, Wei Sean, Lim, Swee Ho, Lim, Geok Hoon, Kwong, Ava, Chan, Tsun L., Tan, Su Ming, Seah, Jaime, John, Esther M., Kurian, Allison W., Koh, Woon-Puay, Khor, Chiea Chuen, Iwasaki, Motoki, Yamaji, Taiki, Tan, Kiak Mien Veronique, Tan, Kiat Tee Benita, Spinelli, John J., Aronson, Kristan J., Hasan, Siti Norhidayu, Rahmat, Kartini, Vijayananthan, Anushya, Sim, Xueling, Pharoah, Paul D. P., Zheng, Wei, Dunning, Alison M., Simard, Jacques, van Dam, Rob Martinus, Yip, Cheng-Har, Taib, Nur Aishah Mohd, Hartman, Mikael, Easton, Douglas F., Teo, Soo-Hwang, and Antoniou, Antonis C.

Published
2020
Full Text
View/download PDF

44. Abstract P2-06-02: A randomized controlled trial of soy isoflavone intake on mammographic density among Malaysian women

Author

Rajaram, Nadia, primary, Yap, Beverley, additional, Eriksson, Mikael, additional, Mariapun, Shivaani, additional, Tan, Lee Mei, additional, Saat, Hamizah, additional, Ho, Evelyn, additional, Taib, Nur Aishah Mohd, additional, Khor, Geok Lin, additional, Yip, Cheng Har, additional, Ho, Weang Kee, additional, Hall, Per, additional, and Teo, Soo Hwang, additional

Published
2023
Full Text
View/download PDF

45. Is Volumetric Breast Density Related to Body Mass Index, Body Fat Mass, Waist-Hip Ratio, Age and Ethnicity for Malaysian Women?

Author

Zakariyah, Norhasnah, Ng, Kwan-Hoong, Lau, Susie, Rahmat, Kartini, Fadzli, Farhana, Taib, Nur Aishah Mohd, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Kobsa, Alfred, editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Weikum, Gerhard, editor, Fujita, Hiroshi, editor, Hara, Takeshi, editor, and Muramatsu, Chisako, editor

Published
2014
Full Text
View/download PDF

46. Two truncating variants in FANCC and breast cancer risk

Author

Dörk, Thilo, Peterlongo, Paolo, Mannermaa, Arto, Bolla, Manjeet K., Wang, Qin, Dennis, Joe, Ahearn, Thomas, Andrulis, Irene L., Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J., Augustinsson, Annelie, Freeman, Laura E. Beane, Beckmann, Matthias W., Beeghly-Fadiel, Alicia, Behrens, Sabine, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia V., Bojesen, Stig E., Brauch, Hiltrud, Brenner, Hermann, Burwinkel, Barbara, Canzian, Federico, Chan, Tsun L., Chang-Claude, Jenny, Chanock, Stephen J., Choi, Ji-Yeob, Christiansen, Hans, Clarke, Christine L., Couch, Fergus J., Czene, Kamila, Daly, Mary B., dos-Santos-Silva, Isabel, Dwek, Miriam, Eccles, Diana M., Ekici, Arif B., Eriksson, Mikael, Evans, D. Gareth, Fasching, Peter A., Figueroa, Jonine, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gao, Chi, Gapstur, Susan M., García-Closas, Montserrat, García-Sáenz, José A., Gaudet, Mia M., Giles, Graham G., Goldberg, Mark S., Goldgar, David E., Guénel, Pascal, Haeberle, Lothar, Haiman, Christopher A., Håkansson, Niclas, Hall, Per, Hamann, Ute, Hartman, Mikael, Hauke, Jan, Hein, Alexander, Hillemanns, Peter, Hogervorst, Frans B. L., Hooning, Maartje J., Hopper, John L., Howell, Tony, Huo, Dezheng, Ito, Hidemi, Iwasaki, Motoki, Jakubowska, Anna, Janni, Wolfgang, John, Esther M., Jung, Audrey, Kaaks, Rudolf, Kang, Daehee, Kapoor, Pooja Middha, Khusnutdinova, Elza, Kim, Sung-Won, Kitahara, Cari M., Koutros, Stella, Kraft, Peter, Kristensen, Vessela N., Kwong, Ava, Lambrechts, Diether, Marchand, Loic Le, Li, Jingmei, Lindström, Sara, Linet, Martha, Lo, Wing-Yee, Long, Jirong, Lophatananon, Artitaya, Lubiński, Jan, Manoochehri, Mehdi, Manoukian, Siranoush, Margolin, Sara, Martinez, Elena, Matsuo, Keitaro, Mavroudis, Dimitris, Meindl, Alfons, Menon, Usha, Milne, Roger L., Mohd Taib, Nur Aishah, Muir, Kenneth, Mulligan, Anna Marie, Neuhausen, Susan L., Nevanlinna, Heli, Neven, Patrick, Newman, William G., Offit, Kenneth, Olopade, Olufunmilayo I., Olshan, Andrew F., Olson, Janet E., Olsson, Håkan, Park, Sue K., Park-Simon, Tjoung-Won, Peto, Julian, Plaseska-Karanfilska, Dijana, Pohl-Rescigno, Esther, Presneau, Nadege, Rack, Brigitte, Radice, Paolo, Rashid, Muhammad U., Rennert, Gad, Rennert, Hedy S., Romero, Atocha, Ruebner, Matthias, Saloustros, Emmanouil, Schmidt, Marjanka K., Schmutzler, Rita K., Schneider, Michael O., Schoemaker, Minouk J., Scott, Christopher, Shen, Chen-Yang, Shu, Xiao-Ou, Simard, Jacques, Slager, Susan, Smichkoska, Snezhana, Southey, Melissa C., Spinelli, John J., Stone, Jennifer, Surowy, Harald, Swerdlow, Anthony J., Tamimi, Rulla M., Tapper, William J., Teo, Soo H., Terry, Mary Beth, Toland, Amanda E., Tollenaar, Rob A. E. M., Torres, Diana, Torres-Mejía, Gabriela, Troester, Melissa A., Truong, Thérèse, Tsugane, Shoichiro, Untch, Michael, Vachon, Celine M., Ouweland, Ans M. W. van den, Veen, Elke M. van, Vijai, Joseph, Wendt, Camilla, Wolk, Alicja, Yu, Jyh-Cherng, Zheng, Wei, Ziogas, Argyrios, Ziv, Elad, ABCTB Investigators, NBCS Collaborators, Dunning, Alison M., Pharoah, Paul D. P., Schindler, Detlev, Devilee, Peter, and Easton, Douglas F.

Published
2019
Full Text
View/download PDF

48. Association between pre-existing cardiometabolic comorbidities and the pathological profiles of breast cancer at initial diagnosis: a cross sectional study

Author

Subramaniam, Shridevi, primary, Kong, Yek-Ching, additional, Yip, Cheng-Har, additional, Thiagarajan, Muthukkumaran, additional, Pailoor, Jayalakshmi, additional, Zaharah, Hafizah, additional, Taib, Nur Aishah, additional, See, Mee-Hoong, additional, Sarfati, Diana, additional, and Bhoo-Pathy, Nirmala, additional

Published
2023
Full Text
View/download PDF

50. Development and Validation of a Dual-Language (English and Malay) Needs Assessment Tool for Breast Cancer (NeAT-BC)

Author

Kong, Yek-Ching, primary, Danaee, Mahmoud, additional, Kaur, Ranjit, additional, Thiagarajan, Muthukkumaran, additional, Zaharah, Hafizah, additional, Sener, Mustafa, additional, Rajah, Harenthri Devy Alagir, additional, Taib, Nur Aishah, additional, Chinna, Karuthan, additional, Yip, Cheng-Har, additional, and Bhoo-Pathy, Nirmala, additional

Published
2023
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results