Xiao-Cheng Wu

Dr. Xiao-Cheng Wu

orcid

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2011 in Journal of the American Academy of Dermatology
Verified
Journal Article
Open access
XWXiao-Cheng Wu
Xiao-Cheng Wu
MEMelody J. Eide
Melody J. Eide
JKJessica King
Jessica King
MSMona Saraiya
Mona Saraiya
YHYoujie Huang
Youjie Huang
JKJulian Kim
Julian Kim
Most melanoma studies use data from the National Cancer Institute Surveillance, Epidemiology, and End Results Program or individual cancer registries. Small numbers of melanoma cases have limited in-depth analyses for all racial and ethnic groups. We sought to describe racial and ethnic variations in melanoma incidence and survival. Incidence for invasive melanoma and 5-year melanoma-specific survival were calculated for whites, blacks, American Indians/Alaskan Natives, Asians/Pacific Islanders (API), and Hispanics using data from 38 population-based cancer registries. Incidence rates of melanoma were significantly higher for females than males among whites and Hispanics under 50 years of age and APIs under 40 years of age. White and black patients were older (median age: 59-63 years) compared with Hispanics, American Indians/Alaskan Natives, and API (median age: 52-56 years). The most common histologic type was acral lentiginous melanoma among blacks and superficial spreading melanoma among all other racial and ethnic groups. Hispanics had the highest incidence rate of acral lentiginous melanoma, significantly higher than whites and API. Nonwhites were more likely to have advanced and thicker melanomas at diagnosis and lower melanoma-specific survival compared with whites. Over 50% of melanoma cases did not have specified histology. The numbers of nonwhite patients were still relatively small despite broad population coverage (67% of United States). Racial and ethnic differences in age at melanoma diagnosis, anatomic sites, and histologic types suggest variations in etiologic pathways. The high percentages of advanced and thicker melanomas among nonwhites highlight the need to improve melanoma awareness for all race and ethnicity in the United States.

10 January 2012 in Journal of Clinical Oncology
Verified
Journal Article
Closed access
XWXiao-Cheng Wu
Xiao-Cheng Wu
MLMary Jo Lund
Mary Jo Lund
GKGretchen G. Kimmick
Gretchen G. Kimmick
LRLisa C. Richardson
Lisa C. Richardson
SSSusan A. Sabatino
Susan A. Sabatino
JLJoseph Lipscomb
Joseph Lipscomb
For breast cancer, guidelines direct the delivery of adjuvant systemic therapy on the basis of lymph node status, histology, tumor size, grade, and hormonal receptor status. We explored how race/ethnicity, insurance, census tract-level poverty and education, and hospital Commission on Cancer (CoC) status were associated with the receipt of guideline-concordant adjuvant systemic therapy. Methods: Locoregional breast cancers diagnosed in 2004 (n = 6,734) were from the National Program of Cancer Registries–funded seven-state Patterns of Care study of the Centers for Disease Control and Prevention. Predictors of guideline-concordant (receiving/not receiving) adjuvant systemic therapy, according to National Comprehensive Cancer Network Guidelines, were explored by logistic regression. Results: Overall, 35% of women received nonguideline chemotherapy, 12% received nonguideline regimens, and 20% received nonguideline hormonal therapy. Significant predictors of nonguideline chemotherapy included Medicaid insurance (odds ratio [OR], 0.66; 95% CI, 0.50 to 0.86), high-poverty areas (OR, 0.77; 95% CI, 0.62 to 0.96), and treatment at non-CoC hospitals (OR, 0.69; 95% CI, 0.56 to 0.85), with adjustment for age, registry, and clinical variables. Predictors of nonguideline regimens among chemotherapy recipients included lack of insurance (OR, 0.47; 95% CI, 0.25 to 0.92), high-poverty areas (OR, 0.71; 95% CI, 0.51 to 0.97), and low-education areas (OR, 0.65; 95% CI, 0.48 to 0.89) after adjustment. Living in high-poverty areas (OR, 0.78; 95% CI, 0.64 to 0.96) and treatment at non-CoC hospitals (OR, 0.68; 95% CI, 0.55 to 0.83) predicted nonguideline hormonal therapy after adjustment. ORs for poverty, education, and insurance were attenuated in the full models. Conclusion: Sociodemographic and hospital factors are associated with guideline-concordant use of systemic therapy for breast cancer. The identification of modifiable factors that lead to nonguideline treatment may reduce disparities in breast cancer survival.

15 November 2001 in Cancer
Verified
Journal Article
Closed access
PDF file
XWXiao-Cheng Wu
Xiao-Cheng Wu
VCVivien W. Chen
Vivien W. Chen
BSBrooke Steele
Brooke Steele
BRBernado Ruiz
Bernado Ruiz
JFJohn Fulton
John Fulton
RGRobert Greenlee
Robert Greenlee

1 February 2021 in Annals of Internal Medicine
Verified
Journal Article
Closed access
EMEric M. Montminy
Eric M. Montminy
MZMeijiao Zhou
Meijiao Zhou
LMLauren Maniscalco
Lauren Maniscalco
WAWesal Abualkhair
Wesal Abualkhair
MKMichelle Kang Kim
Michelle Kang Kim
JKJordan J. Karlitz
Jordan J. Karlitz
Previous analyses of cancer registry data demonstrated an increase in the incidence of early-onset colorectal cancer (EOCRC). However, these analyses did not distinguish between different histologi... Visual Early-Onset Colorectal Cancer Stratified by Histology Previous analyses of cancer registry data demonstrated an increase in the incidence of early-onset colorectal cancer (EOCRC). H... Background: Early-onset colorectal cancer (EOCRC) incidence rates (IRs) are rising, according to previous cancer registry analyses. However, analysis of histologic subtypes, including adenocarcinom...

1 June 2003 in Journal of Adolescent Health
Verified
Journal Article
Closed access
XWXiao-Cheng Wu
Xiao-Cheng Wu
VCVivien W Chen
Vivien W Chen
BSBrooke Steele
Brooke Steele
SRSteven Roffers
Steven Roffers
JKJudith B Klotz
Judith B Klotz
SCSusan E Carozza
Susan E Carozza

1 April 2005 in Cancer Causes & Control
Verified
Journal Article
Closed access
PDF file
XWXiao-Cheng Wu
Xiao-Cheng Wu
FGFrank D. Groves
Frank D. Groves
CMColleen C. McLaughlin
Colleen C. McLaughlin
AJAhmedin Jemal
Ahmedin Jemal
JMJim Martin
Jim Martin
VCVivien W. Chen
Vivien W. Chen