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Oncotarget
Article . 2016 . Peer-reviewed
Data sources: Crossref
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Oncotarget
Article
Data sources: UnpayWall
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Oncotarget
Article . 2017
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PubMed Central
Article . 2016
License: CC BY
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Clinical predictive factors of pathologic complete response in locally advanced rectal cancer

Authors: Francesca, De Felice; Luciano, Izzo; Daniela, Musio; Lisa, Magnante Anna; Nadia, Bulzonetti; Federico, Pugliese; Paolo, Izzo; +4 Authors

Clinical predictive factors of pathologic complete response in locally advanced rectal cancer

Abstract

Predictive factors of pathologic complete response (pCR) after neoadjuvant chemoradiotherapy (nCRT) in locally advanced rectal cancer (LARC) are still not identified. The purpose of this study was to define them.Data from consecutive LARC patients treated between January 2008 and June 2014 at our Institution were included in the analysis. All patients were treated with a long course of nCRT. Demographics, initial diagnosis and tumor extension details, as well as treatment modalities characteristics were included in the univariate and logistic regression analysis.In total 99 patients received nCRT, of whom 23 patients (23.2%) achieved pCR. Patients with and without pCR were similar in term of age, sex, comobidities, BMI and tumor characteristics. Multivariate logistic regression indicated that pre-treatment tumor size ≤ 5 cm was a significant predictor for pCR (p = 0.035), whereas clinical N stage only showed a positive trend (p = 0.084).Tumor size at diagnosis could be used to predict pCR, and thus to individualize therapy in LARC patients management. Validation in other studies is needed.

Country
Italy
Keywords

Male, Chi-Square Distribution, Time Factors, Rectal Neoplasms, Rome, Chemoradiotherapy, Adjuvant, Neoadjuvant Therapy, Tumor Burden, athologic complete response; concomitant treatment; neoadjuvant; radiotherapy; rectal cancer; oncology, Logistic Models, Treatment Outcome, Risk Factors, Multivariate Analysis, Odds Ratio, Humans, Female, Clinical Research Paper, Aged, Neoplasm Staging, Retrospective Studies

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
46
Top 10%
Top 10%
Top 10%
Green
gold
Related to Research communities
Cancer Research