Evidence map›Paper›PMID 40389544›Full record

ReviewNature reviews. Cancer2025

Gender and sex interactions are intrinsic components of cancer phenotypes.

Joshua B Rubin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
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

1 author.

Joshua B RubinDepartment of Paediatrics, Washington University School of Medicine, St Louis, MO, USA. rubin_j@wustl.edu.ORCID http://orcid.org/0000-0002-7395-1937

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sex is a significant determinant of cancer incidence and outcome. The effects of sexual differentiation on normal and cancer biology underly this epidemiology. The resultant sex differences in therapeutic target pathways and processes provide a foundation for developing more personalized cancer treatments. However, our efforts at personalization cannot stop there. Humans also have gender, and sex and gender are highly interactive in individuation. Thus, we will also need to consider how gender-sex interactions (GSI) affect cancer biology and clinical parameters such as the timing of diagnoses, clinical trial enrolment, and the completeness of efficacy and toxicity data. Ignoring the effects of GSI can compromise the quality of basic biological and clinical data and the conclusions drawn from them. This is not to say that GSI will always have a significant effect or any effect at all in every cancer study. Rather, it is to say that we know enough about GSI and human cancer to anticipate measurable differences when GSI are considered in research, enabling us to experimentally determine whether their effects are significant. Here, I delve deeply into GSI and cancer, as this approach to treatment personalization holds great promise to benefit all patients with cancer.

Indexed as

NeoplasmsSex CharacteristicsFemaleHumansMalePhenotypePrecision MedicineSex Factors

Identifiers

What OpenQuestion holds

Textmetadata
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.