Evidence map›Paper›PMID 33130315›Full record

ReviewCancer letters2021

Sex differences in health and disease: A review of biological sex differences relevant to cancer with a spotlight on glioma.

Susan Christine Massey, Paula Whitmire, Tatum E Doyle, Joseph E Ippolito, Maciej M Mrugala, Leland S Hu, Peter Canoll, Alexander R A Anderson, Melissa A Wilson, Susan M Fitzpatrick and 3 more

Abstract readReview
In one paragraph

Review in Cancer letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Multimodal Explainable Artificial Intelligence for Prognostic Stratification of Patients With Glioblastoma.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Why and How to Account for Sex and Gender in Brain and Behavioral Research.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Susan Christine MasseyMathematical NeuroOncology Laboratory, Precision Neurotherapeutics Innovation Program, Mayo Clinic, Phoenix, AZ, USA.
Paula WhitmireMathematical NeuroOncology Laboratory, Precision Neurotherapeutics Innovation Program, Mayo Clinic, Phoenix, AZ, USA.
Tatum E DoyleCollege of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI, USA.
Joseph E IppolitoDepartment of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
Maciej M MrugalaDepartment of Neurology, Mayo Clinic, Phoenix, AZ, USA.
Leland S HuDepartment of Radiology, Mayo Clinic, Phoenix, AZ, USA.
Peter CanollDepartment of Pathology & Cell Biology, Columbia University Medical Center, New York, NY, USA.
Alexander R A AndersonIntegrated Mathematical Oncology, Moffitt Cancer Center, Tampa, FL, USA.
Melissa A WilsonSchool of Life Sciences, Arizona State University, Tempe, AZ, USA.
Susan M FitzpatrickJames S. McDonnell Foundation, St. Louis, MO, USA.
Margaret M McCarthyDepartment of Pharmacology, University of Maryland School of Medicine, Baltimore, MD, USA; Program in Neuroscience, University of Maryland School of Medicine, Baltimore, MD, USA.
Joshua B RubinDepartment of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA; Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA.
Kristin R SwansonMathematical NeuroOncology Laboratory, Precision Neurotherapeutics Innovation Program, Mayo Clinic, Phoenix, AZ, USA; Department of Neurological Surgery, Mayo Clinic, Phoenix, AZ, USA; School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ, USA. Electronic address: Swanson.Kristin@mayo.edu.

Funding

Quantifying Multiscale Competitive Landscapes of Clonal Diversity in GlioblastomaU01CA220378 · NCI · MAYO CLINIC ARIZONA · PI HU, LELAND, MITCHELL, JOSEPH ROSS · 2017 to 2021
$4.3M
NCI NIH HHS U01 CA220378
6 · The paper itself

Abstract

The influence of biological sex differences on human health and disease, while being increasingly recognized, has long been underappreciated and underexplored. While humans of all sexes are more alike than different, there is evidence for sex differences in the most basic aspects of human biology and these differences have consequences for the etiology and pathophysiology of many diseases. In a disease like cancer, these consequences manifest in the sex biases in incidence and outcome of many cancer types. The ability to deliver precise, targeted therapies to complex cancer cases is limited by our current understanding of the underlying sex differences. Gaining a better understanding of the implications and interplay of sex differences in diseases like cancer will thus be informative for clinical practice and biological research. Here we review the evidence for a broad array of biological sex differences in humans and discuss how these differences may relate to observed sex differences in various diseases, including many cancers and specifically glioblastoma. We focus on areas of human biology that play vital roles in healthy and disease states, including metabolism, development, hormones, and the immune system, and emphasize that the intersection of sex differences in these areas should not go overlooked. We further propose that mathematical approaches can be useful for exploring the extent to which sex differences affect disease outcomes and accounting for those in the development of therapeutic strategies.

Indexed as

AnimalsGliomaHormonesHumansImmune SystemSex CharacteristicsHormonesGliomaPatient-specific computational modelingPrecision medicineSex differencesSex factors

Identifiers

PMID33130315
PMCPMC8409250

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.