Evidence map›Paper›PMID 38421684›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2024

Improved Risk-Stratification Scheme for Mismatch-Repair Proficient Stage II Colorectal Cancers Using the Digital Pathology Biomarker QuantCRC.

Christina Wu, Reetesh K Pai, Heidi Kosiorek, Imon Banerjee, Ashlyn Pfeiffer, Catherine E Hagen, Christopher P Hartley, Rondell P Graham, Mohamad B Sonbol, Tanios Bekaii-Saab and 11 more

Open access · greenAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
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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

21 authors at 6 institutions in 2 countries.

Christina Wu *Division of Medical Oncology, Department of Medicine, Mayo Clinic, Phoenix, Arizona.ORCID 0000-0001-5922-5392
Reetesh K Pai *Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.ORCID 0000-0003-4770-2926
Heidi KosiorekDepartment of Quantitative Health Sciences, Mayo Clinic, Phoenix, Arizona.ORCID 0000-0002-4651-9516
Imon BanerjeeDepartment of Radiology and Machine Intelligence in Medicine and Imaging Center (MI-2), Mayo Clinic Arizona.ORCID 0000-0002-3327-8004
Ashlyn PfeifferDepartment of Pathology and Laboratory Medicine, Mayo Clinic, Scottsdale, Arizona.ORCID 0000-0001-8368-0344
Catherine E HagenDepartment of Pathology and Laboratory Medicine, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-1867-4957
Christopher P HartleyDepartment of Pathology and Laboratory Medicine, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-2237-3102
Rondell P GrahamDepartment of Pathology and Laboratory Medicine, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-8686-4867
Mohamad B SonbolDivision of Medical Oncology, Department of Medicine, Mayo Clinic, Phoenix, Arizona.ORCID 0000-0002-6931-242X
Tanios Bekaii-SaabDivision of Medical Oncology, Department of Medicine, Mayo Clinic, Phoenix, Arizona.ORCID 0000-0001-7721-1699
Hao XieDivision of Oncology, Department of Medicine, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-9640-4055
Frank A SinicropeDivision of Oncology, Department of Medicine, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-2907-1000
Bhavik PatelDepartment of Radiology and Machine Intelligence in Medicine and Imaging Center (MI-2), Mayo Clinic Arizona.ORCID 0000-0001-5157-9903
Thomas Westerling-BuiAiforia Inc., Cambridge, Massachusetts.ORCID 0000-0001-8537-6493
Sameer ShivjiDepartment of Pathology, Mount Sinai Hospital, Toronto, Ontario, Canada.ORCID 0000-0002-6690-9239
James ConnerDepartment of Pathology, Mount Sinai Hospital, Toronto, Ontario, Canada.ORCID 0000-0003-2227-6182
Carol SwallowLunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada.ORCID 0000-0001-9313-3133
Paul SavageLunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada.ORCID 0000-0003-2881-6717
David P CyrLunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada.ORCID 0000-0001-8463-3064
Richard KirschDepartment of Pathology, Mount Sinai Hospital, Toronto, Ontario, Canada.ORCID 0000-0002-2013-6541
Rish K PaiDepartment of Pathology and Laboratory Medicine, Mayo Clinic, Scottsdale, Arizona.ORCID 0000-0002-2692-221X
Mayo Clinic in Arizona · USMayo Clinic · USMount Sinai Hospital · CAUniversity of Toronto · CAMayo Clinic in Florida · USCenterforce · US

Funding

Data sharing: the Colon Cancer Family Registry CohortU01CA167551 · NCI · UNIVERSITY OF MELBOURNE · PI Daniel David BUCHANAN, Steven Gallinger · 2018 to 2026
$16.8M
NCI NIH HHS U01 CA167551
6 · The paper itself

Abstract

purposeThere is a need to improve current risk stratification of stage II colorectal cancer to better inform risk of recurrence and guide adjuvant chemotherapy. We sought to examine whether integration of QuantCRC, a digital pathology biomarker utilizing hematoxylin and eosin-stained slides, provides improved risk stratification over current American Society of Clinical Oncology (ASCO) guidelines. EXPERIMENTAL

designASCO and QuantCRC-integrated schemes were applied to a cohort of 398 mismatch-repair proficient (MMRP) stage II colorectal cancers from three large academic medical centers. The ASCO stage II scheme was taken from recent guidelines. The QuantCRC-integrated scheme utilized pT3 versus pT4 and a QuantCRC-derived risk classification. Evaluation of recurrence-free survival (RFS) according to these risk schemes was compared using the log-rank test and HR.

resultsIntegration of QuantCRC provides improved risk stratification compared with the ASCO scheme for stage II MMRP colorectal cancers. The QuantCRC-integrated scheme placed more stage II tumors in the low-risk group compared with the ASCO scheme (62.5% vs. 42.2%) without compromising excellent 3-year RFS. The QuantCRC-integrated scheme provided larger HR for both intermediate-risk (2.27; 95% CI, 1.32-3.91; P = 0.003) and high-risk (3.27; 95% CI, 1.42-7.55; P = 0.006) groups compared with ASCO intermediate-risk (1.58; 95% CI, 0.87-2.87; P = 0.1) and high-risk (2.24; 95% CI, 1.09-4.62; P = 0.03) groups. The QuantCRC-integrated risk groups remained prognostic in the subgroup of patients that did not receive any adjuvant chemotherapy.

conclusionsIncorporation of QuantCRC into risk stratification provides a powerful predictor of RFS that has potential to guide subsequent treatment and surveillance for stage II MMRP colorectal cancers.

Indexed as

Biomarkers, TumorColorectal NeoplasmsDNA Mismatch RepairNeoplasm StagingAdultAgedFemaleHumansMaleMiddle AgedNeoplasm Recurrence, LocalPrognosisRisk AssessmentBiomarkers, Tumor

Identifiers

PMID38421684
PMCPMC11062828
OpenAlexW4392284408

What OpenQuestion holds

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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.