Evidence map›Paper›PMID 34250394›Full record

ArticleJCO precision oncology2021

Circulating Tumor DNA Predicts Pathologic and Clinical Outcomes Following Neoadjuvant Chemoradiation and Surgery for Patients With Locally Advanced Rectal Cancer.

Susan G R McDuff, Karin M Hardiman, Peter J Ulintz, Aparna R Parikh, Hui Zheng, Daniel W Kim, Jochen K Lennerz, Mehlika Hazar-Rethinam, Emily E Van Seventer, Isobel J Fetter and 13 more

Registry-linked trialAbstract read
In one paragraph

Article in JCO precision oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06589388 (ctDNA Monitoring to Predict the Efficacy of Total Neoadjuvant Therapy for Rectal Cancer), which is not on this map. Cited by 44 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 7 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.

NCT06589388 recruitingnot on this mapstarted 2024, after this paper: background citation

ctDNA Monitoring to Predict the Efficacy of Total Neoadjuvant Therapy for Rectal Cancer

TypeobservationalSponsorGene SolutionsRan2024 to 2027Enrolled100ConditionsRectal Cancer, Rectal Cancer Stage II, Rectal Cancer Stage III
3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Trial
  9. Trial
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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

23 authors.

Susan G R McDuffDepartment of Radiation Oncology, Duke Cancer Center, Duke University Medical Center, Duke Medicine Circle, Durham, NC.
Karin M HardimanDepartment of Surgery, University of Alabama at Birmingham, Birmingham, AL.
Peter J UlintzDepartment of Internal Medicine, Michigan Medicine, Ann Arbor, MI.
Aparna R ParikhDepartment of Internal Medicine and Hematology/Oncology, Massachusetts General Hospital, Boston, MA.
Hui ZhengBiostatistics Center, Massachusetts General Hospital, Boston, MA.
Daniel W KimHarvard Radiation Oncology Program, Boston, MA.
Jochen K LennerzDepartment of Pathology, Center for Integrated Diagnostics, Massachusetts General Hospital, Boston, MA.
Mehlika Hazar-RethinamMassachusetts General Hospital Cancer Center, Boston, MA.
Emily E Van SeventerMassachusetts General Hospital Cancer Center, Boston, MA.
Isobel J FetterMassachusetts General Hospital Cancer Center, Boston, MA.
Brandon NadresMassachusetts General Hospital Cancer Center, Boston, MA.
Christine E EylerDepartment of Radiation Oncology, Massachusetts General Hospital, Boston, MA.
David P RyanDepartment of Internal Medicine and Hematology/Oncology, Massachusetts General Hospital, Boston, MA.
Colin D WeekesDepartment of Internal Medicine and Hematology/Oncology, Massachusetts General Hospital, Boston, MA.
Jeffrey W ClarkDepartment of Internal Medicine and Hematology/Oncology, Massachusetts General Hospital, Boston, MA.
James C CusackThe Division of Gastrointestinal and Oncologic Surgery, Massachusetts General Hospital, Boston, MA.
Lipika GoyalDepartment of Internal Medicine and Hematology/Oncology, Massachusetts General Hospital, Boston, MA.
Andrew X ZhuDepartment of Internal Medicine and Hematology/Oncology, Massachusetts General Hospital, Boston, MA.
Jennifer Y WoDepartment of Radiation Oncology, Massachusetts General Hospital, Boston, MA.
Lawrence S BlaszkowskyDepartment of Internal Medicine and Hematology/Oncology, Massachusetts General Hospital, Boston, MA.
Jill AllenDepartment of Internal Medicine and Hematology/Oncology, Massachusetts General Hospital, Boston, MA.
Ryan B CorcoranDepartment of Internal Medicine and Hematology/Oncology, Massachusetts General Hospital, Boston, MA.
Theodore S HongDepartment of Radiation Oncology, Massachusetts General Hospital, Boston, MA.

Funding

A novel, transferable sialylation-mediated mechanism of chemoradioresistance in GI cancerR01CA265981 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Karin Marie Hardiman · 2022 to 2026
$1.9M
Intra-tumor Heterogeneity in Colorectal Cancer Progression and Treatment ResponseK08CA190645 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HARDIMAN, KARIN MARIE · 2016 to 2019
$700k
NCI NIH HHS K08 CA190645NCI NIH HHS R01 CA265981
6 · The paper itself

Abstract

purposeThis study was designed to assess the ability of perioperative circulating tumor DNA (ctDNA) to predict surgical outcome and recurrence following neoadjuvant chemoradiation for locally advanced rectal cancer (LARC). MATERIALS AND

methodsTwenty-nine patients with newly diagnosed LARC treated between January 2014 and February 2018 were enrolled. Patients received long-course neoadjuvant chemoradiation prior to surgery. Plasma ctDNA was collected at baseline, preoperatively, and postoperatively. Next-generation sequencing was used to identify mutations in the primary tumor, and mutation-specific droplet digital polymerase chain reaction was used to assess mutation fraction in ctDNA.

resultsThe median age was 54 years. The overall margin-negative, node-negative resection rate was 73% and was significantly higher among patients with undetectable preoperative ctDNA (n = 17, 88%) versus patients with detectable preoperative ctDNA (n = 9, 44%;

conclusionAmong patients treated with neoadjuvant chemoradiation for LARC, patients with undetectable preoperative ctDNA were more likely to have a favorable surgical outcome as measured by the rate of margin-negative, node-negative resections and neoadjuvant rectal score. Furthermore, we have confirmed prior reports indicating that detectable postoperative ctDNA is associated with worse RFS. Future prospective study is needed to assess the potential for ctDNA to assist with personalizing treatment for LARC.

Indexed as

Neoadjuvant TherapyAgedCirculating Tumor DNAFemaleHumansMaleMiddle AgedNeoplasm StagingPredictive Value of TestsRectal NeoplasmsRetrospective StudiesTreatment OutcomeCirculating Tumor DNA

Identifiers

PMID34250394
PMCPMC8232395

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.