Evidence map›Paper›PMID 37893604›Full record

ReviewMedicina (Kaunas, Lithuania)2023

Harnessing Minimal Residual Disease as a Predictor for Colorectal Cancer: Promising Horizons Amidst Challenges.

Xiaofen Wen, Donatella Coradduzza, Jiaxin Shen, Antonio Mario Scanu, Maria Rosaria Muroni, Matteo Massidda, Vincenzo Rallo, Ciriaco Carru, Andrea Angius, Maria Rosaria De Miglio

Abstract readReview
In one paragraph

Review in Medicina (Kaunas, Lithuania), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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.

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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. 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

10 authors.

Xiaofen WenDepartment of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.
Donatella CoradduzzaDepartment of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0002-8978-0490
Jiaxin ShenDepartment of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0003-0146-8863
Antonio Mario ScanuDepartment of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0001-7878-1167
Maria Rosaria MuroniDepartment of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy.
Matteo MassiddaDepartment of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0002-5246-5585
Vincenzo RalloIstituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche, CNR, Cittadella Universitaria di Cagliari, Monserrato, 09042 Cagliari, Italy.ORCID 0000-0002-8938-5650
Ciriaco CarruDepartment of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0002-6985-4907
Andrea AngiusIstituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche, CNR, Cittadella Universitaria di Cagliari, Monserrato, 09042 Cagliari, Italy.ORCID 0000-0003-2596-6461
Maria Rosaria De MiglioDepartment of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0002-9393-3234

Funding

Fondazione di Sardegna 2023
6 · The paper itself

Abstract

Minimal Residual Disease (MRD) detection has emerged as an independent factor in clinical and pathological cancer assessment offering a highly effective method for predicting recurrence in colorectal cancer (CRC). The ongoing research initiatives such as the DYNAMIC and CIRCULATE-Japan studies, have revealed the potential of MRD detection based on circulating tumor DNA (ctDNA) to revolutionize management for CRC patients. MRD detection represents an opportunity for risk stratification, treatment guidance, and early relapse monitoring. Here we overviewed the evolving landscape of MRD technology and its promising applications through the most up-to-date research and reviews, underscoring the transformative potential of this approach. Our primary focus is to provide a point-to-point perspective and address key challenges relating to the adoption of ctDNA-based MRD detection in the clinical setting. By identifying critical areas of interest and hurdles surrounding clinical significance, detection criteria, and potential applications of basic research, this article offers insights into the advancements needed to evaluate the role of ctDNA in CRC MRD detection, contributing to favorable clinical options and improved outcomes in the management of CRC.

Indexed as

Clinical RelevanceColorectal NeoplasmsBiomarkers, TumorHumansJapanNeoplasm, ResidualBiomarkers, Tumorcolorectal cancer (CRC)Minimal Residual Disease (MRD)MRD clinical application in CRCMRD techniques

Identifiers

PMID37893604
PMCPMC10608819

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.