biology

Xiaohong Rose Yang

Xiaohong Rose Yang is a biology topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Xiaohong Rose Yang rather than just read about it. In short: Xiaohong Rose Yang is an American biomedical scientist researching the genetics of dysplastic nevus syndrome and chordoma, and etiologic heterogeneity of breast cancer. She is a senior investigator at the National Cancer Institute.

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Reference excerpt

Xiaohong Rose Yang is an American biomedical scientist researching the genetics of dysplastic nevus syndrome and chordoma, and etiologic heterogeneity of breast cancer. She is a senior investigator at the National Cancer Institute. Yang leads breast cancer studies in mainland China, Hong Kong, and Malaysia.

Education Yang received a Ph.D. in physiology at Georgetown University's Lombardi Comprehensive Cancer Center in 1999. Her dissertation was titled KAI1, A Metastasis Suppressor Gene for Human Breast Cancer. Yang's mentors were Marc E. Lippman, Careen K. Tang, and Lisa L. Wei. She completed a M.P.H. in epidemiology from the Johns Hopkins Bloomberg School of Public Health in 2003. Yang joined the genetic epidemiology branch (GEB) at the National Cancer Institute (NCI) in 2000 as a postdoctoral fellow.

Career Yang became a tenure-track investigator at the NCI in 2006, and was appointed senior investigator upon receiving NIH scientific tenure in 2014. As of 2021, she is a senior investigator. Yang serves on the editorial board for Cancer Epidemiology, Biomarkers & Prevention, and is an adjunct associate professor at the Chinese University of Hong Kong. Her research interests include the genetics of dysplastic nevi syndrome and chordoma, and etiologic heterogeneity of breast cancer.

Research Through a genome-wide search for copy number variations (CNVs), Yang identified the first susceptibility gene for familial chordoma—a germline duplication of the T gene that had eluded previous studies that focused on single nucleotide variants. Using funding from a 2008 NCI Division of Cancer Epidemiology and Genetics (DCEG) Intramural Research Award, she applied the same technique in melanoma-prone families and identified a germline duplication in a family without mutations in known melanoma genes. She presented these findings at the 2014 NCI Intramural Research Retreat. Yang uses genomic technologies and statistical approaches to evaluate copy number and exome sequencing variants, as well as mRNA expression, miRNA expression, DNA methylation, chromatin modification, and telomere length in disease susceptibility. Yang and her colleagues identified a rare inherited mutation in a gene involved in maintaining telomere stability in melanoma families, further supporting a role for abnormal telomeres in the development of melanoma. In her investigation of etiologic heterogeneity of breast cancer, Yang characterizes the molecular signature of tumors using tissue microarray and integrated tumor profiling analyses to identify risk factors for specific cancer subtypes. She leads breast cancer studies in mainland China, Hong Kong, and Malaysia to identify distinct molecular alterations in tumors and adjacent normal tissues among Asian women, and to examine the associations of these molecular changes with genetic and environmental risk factors, breast tissue composition and density, and breast cancer subtypes.

Awards and honors Yang received NCI Director's Intramural Innovation Awards in 2007 and 2009.

Selected works Yang, Xiaohong; Wei, Lisa L.; Tang, Careen; Slack, Rebecca; Mueller, Susette; Lippman, Marc E. (July 2001). "Overexpression of KAI1 Suppresses in Vitro Invasiveness and in Vivo Metastasis in Breast Cancer Cells". Cancer Research. 61 (13): 5284–5288. ISSN 0008-5472. PMID 11431371. Yang, Xiaohong R.; Sherman, Mark E.; Rimm, David L.; Lissowska, Jolanta; Brinton, Louise A.; Peplonska, Beata; Hewitt, Stephen M.; Anderson, William F.; Szeszenia-Dąbrowska, Neonila; Bardin-Mikolajczak, Alicja; Zatonski, Witold (March 2007). "Differences in Risk Factors for Breast Cancer Molecular Subtypes in a Population-Based Study". Cancer Epidemiology, Biomarkers & Prevention. 16 (3): 439–443. doi:10.1158/1055-9965.EPI-06-0806. ISSN 1055-9965. PMID 17372238. Yang, Xiaohong R.; Chang-Claude, Jenny; Goode, Ellen L.; Couch, Fergus J.; Nevanlinna, Heli; Milne, Roger L.; Gaudet, Mia; Schmidt, Marjanka K.; Broeks, Annegien; Cox, Angela; Fasching, Peter A. (February 2011). "Associations of Breast Cancer Risk Factors With Tumor Subtypes: A Pooled Analysis From the Breast Cancer Association Consortium Studies". JNCI: Journal of the National Cancer Institute. 103 (3): 250–263. doi:10.1093/jnci/djq526. ISSN 1460-2105. PMC 3107570. PMID 21191117.

References

External links Xiaohong Rose Yang's publications indexed by the Scopus bibliographic database. (subscription required)

Illustrations

Worked examples

Example 1 — a first encounter with Xiaohong Rose Yang

Start with the simplest possible case. Write down what Xiaohong Rose Yang claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In biology, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Xiaohong Rose Yang before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Xiaohong Rose Yang ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Xiaohong Rose Yang

In research: Xiaohong Rose Yang appears in biology research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Xiaohong Rose Yang in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Xiaohong Rose Yang is common in secondary-school and first-year university syllabi. It links to neighbouring topics 21st-century American biologists, 21st-century American women biologists, American medical researchers, so understanding it makes those chapters shorter.
In everyday life: Look for Xiaohong Rose Yang outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Xiaohong Rose Yang in 20 minutes

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Frequently asked questions

What is Xiaohong Rose Yang in simple terms?

Why does Xiaohong Rose Yang matter?

Because it connects several biology ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Xiaohong Rose Yang?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Xiaohong Rose Yang.