Evidence map›Paper›PMID 35094080›Full record

ArticleJournal of the National Cancer Institute2022

Identification of a Subset of Stage I Colorectal Cancer Patients With High Recurrence Risk.

Lik Hang Lee, Lindy Davis, Lourdes Ylagan, Angela R Omilian, Kristopher Attwood, Canan Firat, Jinru Shia, Philip B Paty, William G Cance

Open access · greenAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 49% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

9 authors at 3 institutions in 2 countries.

Lik Hang LeeDepartment of Pathology, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0003-3692-4910
Lindy DavisDepartment of Surgery, Albany Medical College, Albany, NY, USA.
Lourdes YlaganDepartment of Pathology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Angela R OmilianDepartment of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Kristopher AttwoodDepartment of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Canan FiratDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Jinru ShiaDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-4351-2511
Philip B PatyDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
William G CanceDepartment of Surgery, University of Arizona College of Medicine, Phoenix, AZ, USA.
Memorial Sloan Kettering Cancer Center · USRoswell Park Comprehensive Cancer Center · USUniversity of Arizona · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI MARK G FRATTINI · 1985 to 2026
$116.6M
VITAMIN AP30CA023074 · NCI · UNIVERSITY OF ARIZONA · PI Dan Theodorescu · 1985 to 2026
$110.2M
FOCAL ADHESION KINASE--TUMOR BIOLOGY AND THERAPEUTICSR01CA065910 · NCI · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI MARLOWE, TIMOTHY A · 1996 to 2019
$6.3M
Dako Omnis Autostainer for Screening Tumor Tissues with ImmunohistochemistryS10OD019977 · OD · ROSWELL PARK CANCER INSTITUTE CORP · PI OMILIAN, ANGELA · 2015 to 2015
$175k
NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA016056NCI NIH HHS P30 CA023074NCI NIH HHS R01 CA065910NIH HHS S10 OD019977
6 · The paper itself

Abstract

backgroundA challenge in early-stage colorectal cancer (CRC) is identifying biomarkers that predict an increased risk for recurrence. A potential clinically adaptable biomarker is focal adhesion kinase (FAK), a tyrosine kinase that promotes invasion and metastasis.

methodsAn initial, single-institution, 298-patient cohort with all stages of CRC and long-term follow-up was assessed for FAK with tissue microarrays using immunohistochemistry. FAK expression was scored and dichotomized into high and low. Subsequently, a validation cohort of 517 early-stage CRCs from a separate institution was evaluated. All statistical tests were 2-sided.

resultsFAK overexpression did not correlate with any known histologic feature and was an early event in CRC, increasing from normal colon to stage I, and stage I to II, but not different at higher stages. High FAK was associated with decreased 10-year recurrence-free survival (RFS) among stage I patients (70.2% for high FAK vs 94.1% for low, P = .02), but not among higher stages in the initial cohort. The same finding was seen in the validation cohort (73.1% for high FAK vs 93.1% for low, P = .004). Multivariable survival analysis for stage I patients showed only two statistically significant factors predicting RFS: FAK (hazard ratio = 5.27, 95% confidence interval = 1.81 to 15.33, P = .002) and perineural invasion (hazard ratio = 7.38, 95% confidence interval = 1.01 to 53.96, P = .049). FAK was the only statistically significant factor in multivariable analysis across RFS, overall, and disease-specific survivals.

conclusionsHigh FAK expression identified a subset of stage I CRC patients with high incidence of recurrence and reduced survival, suggesting that FAK has important prognostic value. These patients would immediately benefit from more rigorous surveillance protocols for recurrent disease.

Indexed as

Colorectal NeoplasmsHumansImmunohistochemistryNeoplasm StagingPrognosisProportional Hazards Models

Identifiers

PMID35094080
PMCPMC9086771
OpenAlexW4210768251

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.