Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 265

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Impact of Age, Sex, and Comorbidity on Cancer Therapy and Disease Progression

Pal, Sumanta Kumar, Hurria, Arti·2010·Journal of Clinical Oncology

Abstract

A theme of personalized medicine was highlighted at the 2009 Annual Meeting of the American Society of Clinical Oncology. To this end, the current review focuses on the impact of host characteristics (such as age, sex, and comorbidity) as they pertain to cancer biology, treatment efficacy, and tolerance. Increasing age is associated with complex changes in physiology, including alterations in renal and hepatic function, and decreased bone marrow reserve. These may in turn result in alterations in pharmacokinetics and toxicity related to many commonly used anticancer agents. Using tools, such as the geriatric assessment, may help to elucidate the physiologic age of the patient as opposed to the chronologic age. Increasing age is paralleled by an increase in comorbidity, and comorbidity may have independent prognostic implications and substantially impact medical decision making in the patient with cancer. Numerous biologic ties between cancer and comorbidity exist, one example being an association of diabetes with an increased risk of disease recurrence and mortality in the setting of colon cancer. Biologic features can also vary by sex; several biomarkers with either prognostic or predictive value (ie, excisionrepair cross-complementation group 1 expression, epidermal growth factor receptor mutation, or dihydropyrimidine dehydrogenase polymorphism) may differentiate efficacy or toxicity in males and females. Taken together, age, sex, and comorbidity each encompass a complex array of physiologic and molecular variations that may each aid in personalizing care for the patient with cancer.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1200/jco.2009.27.0579

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 10 references

Cited by

See all 265

Metadata

Authors
Pal, S. K., & Hurria, A.
Venue
Journal of Clinical Oncology
Published
2010-09-10
Volume
28
Issue
26
Pages
4086-4093
ISSN
  • 0732-183X (ISSN-L)
  • 1527-7755
OpenAlex
W2119609623
Cited by
265
References
10
FWCI
7.17
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Impact of Age, Sex, and Comorbidity on Cancer Therapy and Disease Progression. https://app.cochat.ai/papers/10.1200/jco.2009.27.0579
The paper
Pal, S. K., & Hurria, A. (2010). Impact of Age, Sex, and Comorbidity on Cancer Therapy and Disease Progression. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2009.27.0579

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.