1. Friedman, Jerome and Hastie, Trevor and Tibshirani, Robert (2010) {Regularization Paths for Generalized Linear Models via Coordinate Descent}. Journal of Statistical Software 33(1): 1--22 https://doi.org/10.18637/jss.v033.i01, https://www.jstatsoft.org/v33/i01/, 1st year
2. Sung, Hyuna and Ferlay, Jacques and Siegel, Rebecca L. and Laversanne, Mathieu and Soerjomataram, Isabelle and Jemal, Ahmedin and Bray, Freddie (2021) {Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries}. CA: A Cancer Journal for Clinicians 71(3): 209--249 https://doi.org/10.3322/caac.21660, https://acsjournals.onlinelibrary.wiley.com/doi/full/10.3322/caac.21660 https://acsjournals.onlinelibrary.wiley.com/doi/abs/10.3322/caac.21660 https://acsjournals.onlinelibrary.wiley.com/doi/10.3322/caac.21660, Wiley, 33538338, 5, 1st year, burden,cancer,epidemiology,incidence,mortality, 0007-9235, :C\:/Users/sionaris/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Sung et al. - 2021 - Global Cancer Statistics 2020 GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countri.pdf:pdf, This article provides an update on the global cancer burden using the GLOBOCAN 2020 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer. Worldwide, an estimated 19.3 million new cancer cases (18.1 million excluding nonmelanoma skin cancer) and almost 10.0 million cancer deaths (9.9 million excluding nonmelanoma skin cancer) occurred in 2020. Female breast cancer has surpassed lung cancer as the most commonly diagnosed cancer, with an estimated 2.3 million new cases (11.7%), followed by lung (11.4%), colorectal (10.0 %), prostate (7.3%), and stomach (5.6%) cancers. Lung cancer remained the leading cause of cancer death, with an estimated 1.8 million deaths (18%), followed by colorectal (9.4%), liver (8.3%), stomach (7.7%), and female breast (6.9%) cancers. Overall incidence was from 2-fold to 3-fold higher in transitioned versus transitioning countries for both sexes, whereas mortality varied <2-fold for men and little for women. Death rates for female breast and cervical cancers, however, were considerably higher in transitioning versus transitioned countries (15.0 vs 12.8 per 100,000 and 12.4 vs 5.2 per 100,000, respectively). The global cancer burden is expected to be 28.4 million cases in 2040, a 47% rise from 2020, with a larger increase in transitioning (64% to 95%) versus transitioned (32% to 56%) countries due to demographic changes, although this may be further exacerbated by increasing risk factors associated with globalization and a growing economy. Efforts to build a sustainable infrastructure for the dissemination of cancer prevention measures and provision of cancer care in transitioning countries is critical for global cancer control.
3. {Breast cancer statistics | Cancer Research UK}. 2022, 2022-04-22, https://www.cancerresearchuk.org/health-professional/cancer-statistics/statistics-by-cancer-type/breast-cancer, New Paper
4. Arran K Turnbull and Laura M Arthur and Lorna Renshaw and Alexey A Larionov and Charlene Kay and Anita K Dunbier and Jeremy S Thomas and Mitch Dowsett and Andrew H Sims and J Michael Dixon (2015) Accurate prediction and validation of response to endocrine therapy in breast cancer. Journal of Clinical Oncology 33: 2270-2278 https://doi.org/10.1200/JCO.2014.57.8963, https://pubmed.ncbi.nlm.nih.gov/26033813/, American Society of Clinical Oncology, 26033813, 10, Adjuvant,Antineoplastic Agents,Apoptosis Regulatory Proteins / genetics,Aromatase Inhibitors / therapeutic use*,Arran K Turnbull,Biomarkers,Biopsy,Breast Neoplasms / diagnostic imaging,Breast Neoplasms / drug therapy*,Breast Neoplasms / genetics*,Breast Neoplasms / pathology,Chemotherapy,Cytokine Receptor gp130 / genetics,Disease-Free Survival,Female,Gene Expression Profiling* / methods,Gene Expression Regulation,Hormonal / therapeutic use*,Humans,Immunohistochemistry,J Michael Dixon,Kaplan-Meier Estimate,Laura M Arthur,Letrozole,MEDLINE,Minichromosome Maintenance Complex Component 4 / g,NCBI,NIH,NLM,National Center for Biotechnology Information,National Institutes of Health,National Library of Medicine,Neoadjuvant Therapy*,Neoplastic,Nerve Tissue Proteins / genetics,Nitriles / therapeutic use*,Non-U.S. Gov't,Oligonucleotide Array Sequence Analysis,Precision Medicine,Predictive Value of Tests,PubMed Abstract,Reproducibility of Results,Research Support,Reverse Transcriptase Polymerase Chain Reaction,Time Factors,Treatment Outcome,Triazoles / therapeutic use*,Tumor / genetics*,Ultrasonography,Validation Study,doi:10.1200/JCO.2014.57.8963,pmid:26033813, 20, 15277755, Purpose Aromatase inhibitors (AIs) have an established role in the treatment of breast cancer. Response rates are only 50% to 70% in the neoadjuvant setting and lower in advanced disease. Accurate biomarkers are urgently needed to predict response in these settings and to determine which individuals will benefit from adjuvant AI therapy. Patients and Methods Pretreatment and on-treatment (after 2 weeks and 3 months) biopsies were obtained from 89 postmenopausal women who had estrogen receptor-alpha positive breast cancer and were receiving neoadjuvant letrozole for transcript profiling. Dynamic clinical response was assessed with use of three-dimensional ultrasound measurements. Results The molecular response to letrozole was characterized and a four-gene classifier of clinical response was established (accuracy of 96%) on the basis of the level of two genes before treatment (one gene [IL6ST] was associated with immune signaling, and the other [NGFRAP1] was associated with apoptosis) and the level of two proliferation genes (ASPM, MCM4) after 2 weeks of therapy. The four-gene signature was found to be 91% accurate in a blinded, completely independent validation data set of patients treated with anastrozole. Matched 2-week on-treatment biopsies were associated with improved predictive power as compared with pretreatment biopsies alone. This signature also significantly predicted recurrence-free survival (P = .029) and breast cancer -specific survival (P= .009). We demonstrate that the test can also be performed with use of quantitative polymerase chain reaction or immunohistochemistry. Conclusion A four-gene predictive model of clinical response to AIs by 2 weeks has been generated and validated. Deregulated immune and apoptotic responses before treatment and cell proliferation that is not reduced 2 weeks after initiation of treatment are functional characteristics of breast tumors that do not respond to AIs.
5. Yeon Hee Park and Samir Lal and Jeong Eon Lee and Yoon La Choi and Ji Wen and Sripad Ram and Ying Ding and Soo Hyeon Lee and Eric Powell and Se Kyung Lee and Jong Han Yu and Keith A Ching and Jae Yong Nam and Seok Won Kim and Seok Jin Nam and Ji Yeon Kim and Soo Youn Cho and Seri Park and Jinho Kim and Soohyn Hwang and Yu Jin Kim and Vinicius Bonato and Diane Fernandez and Shibing Deng and Shuoguo Wang and Hyuntae Shin and Eun Suk Kang and Woong Yang Park and Paul A Rejto and Jadwiga Bienkowska and Zhengyan Kan (2020) Chemotherapy induces dynamic immune responses in breast cancers that impact treatment outcome. Nature Communications 11 https://doi.org/10.1038/s41467-020-19933-0, https://pubmed.ncbi.nlm.nih.gov/33268821/, Nature Research, 33268821, 10, Anthracyclines / therapeutic use,B7-H1 Antigen / antagonists & inhibitors,B7-H1 Antigen / genetics*,B7-H1 Antigen / immunology,Breast / drug therapy*,Breast / genetics,Breast / immunology,Breast / mortality,Breast Neoplasms / drug therapy*,Breast Neoplasms / genetics,Breast Neoplasms / immunology,Breast Neoplasms / mortality,CD8-Positive T-Lymphocytes / drug effects,CD8-Positive T-Lymphocytes / immunology,CD8-Positive T-Lymphocytes / pathology,Carcinoma,Cell Cycle Proteins / genetics,Cell Cycle Proteins / immunology,Cyclophosphamide / therapeutic use,Disease-Free Survival,Docetaxel / therapeutic use,Ductal,ErbB-2 / genetics,ErbB-2 / immunology,Estrogen Receptor alpha / genetics,Estrogen Receptor alpha / immunology,Female,Gene Expression Profiling,Gene Expression Regulation,Humans,Immunity,Innate,Interferon Regulatory Factors / genetics,Interferon Regulatory Factors / immunology,Longitudinal Studies,Lymphocytes,MEDLINE,NCBI,NIH,NLM,National Center for Biotechnology Information,National Institutes of Health,National Library of Medicine,Neoadjuvant Therapy / methods*,Neoplasm,Neoplastic*,Non-U.S. Gov't,PMC7710739,PubMed Abstract,Receptor,Research Support,Residual,Samir Lal,Trastuzumab / therapeutic use,Treatment Outcome,Tumor Microenvironment / drug effects,Tumor Microenvironment / genetics,Tumor Microenvironment / immunology,Tumor-Infiltrating / drug effects*,Tumor-Infiltrating / immunology,Tumor-Infiltrating / pathology,Yeon Hee Park,Zhengyan Kan,doi:10.1038/s41467-020-19933-0,pmid:33268821, 1, 20411723, To elucidate the effects of neoadjuvant chemotherapy (NAC), we conduct whole transcriptome profiling coupled with histopathology analyses of a longitudinal breast cancer cohort of 146 patients including 110 pairs of serial tumor biopsies collected before treatment, after the first cycle of treatment and at the time of surgery. Here, we show that cytotoxic chemotherapies induce dynamic changes in the tumor immune microenvironment that vary by subtype and pathologic response. Just one cycle of treatment induces an immune stimulatory microenvironment harboring more tumor infiltrating lymphocytes (TILs) and up-regulation of inflammatory signatures predictive of response to anti-PD1 therapies while residual tumors are immune suppressed at end-of-treatment compared to the baseline. Increases in TILs and CD8 + T cell proportions in response to NAC are independently associated with pathologic complete response. Further, on-treatment immune response is more predictive of treatment outcome than immune features in paired baseline samples although these are strongly correlated.