Cited by 376Protein Kinase Regulation and GTPase SignalingProtein Tyrosine PhosphatasesMelanoma and MAPK Pathways

The DOI matches its Crossref record; 82 of the 85 references it cites were found in a registry or an index.

KRAS Alleles: The Devil Is in the Detail

Open access
Haigis, Kevin M.·2017·Trends in Cancer

Abstract

KRAS is the most frequently mutated oncogene in cancer and KRAS mutation is commonly associated with poor prognosis and resistance to therapy. Since the KRAS oncoprotein is, as yet, not directly druggable, efforts to target KRAS mutant cancers focus on identifying vulnerabilities in downstream signaling pathways or in stress response pathways that are permissive for strong oncogenic signaling. One aspect of KRAS biology that is not well appreciated is the potential biological differences between the many distinct KRAS activating mutations. This review draws upon insights from both clinical and experimental studies to explore similarities and differences among KRAS alleles. Historical and emerging evidence supports the notion that the specific biology related to each allele might be exploitable for allele-specific therapy.

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 · 10.1016/j.trecan.2017.08.006

Cites

82 of 82 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

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

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

Flagged first, then by citations

Show all 85 references

3 of the 85 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Items 301–376 of 376

Metadata

Authors
Haigis, K. M.
Affiliations
Beth Israel Deaconess Medical Center (US)
Corresponding author
Haigis, Kevin M.
Venue
Trends in Cancer
Publisher
Elsevier BV
Published
2017-10
Volume
3
Issue
10
Pages
686-697
ISSN
  • 2405-8025 (ISSN-L)
  • 2405-8033
OpenAlex
W2754809261
Cited by
373
References
85
Citations by year
2026: 28 · 2025: 45 · 2024: 41 · 2023: 42 · 2022: 60 · 2021: 54 · 2020: 52 · 2019: 39 · 2018: 11 · 2017: 1
FWCI
2.64
Type
journal article
Language
en
Open access
Locations
  • Trends in cancer (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
NIH/NCI (CA178017, CA199252, CA195744)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Kinase Regulation and GTPase Signaling
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Tyrosine Phosphatases
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Melanoma and MAPK Pathways
Keywords
KRAS, KRAS mutation, oncogenic signaling, downstream signaling pathways, stress response pathways, cancer therapy resistance
MeSH terms
Alleles, Animals, Cell Transformation, Neoplastic, Genotype, Humans, Mutation, Neoplasms, Prognosis, Structure-Activity Relationship, Proto-Oncogene Proteins p21(ras), Genetic Predisposition to Disease, GTP Phosphohydrolases, Genetic Association Studies, Molecular Targeted Therapy

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