Evidence map›Paper›PMID 39260369›Full record

ReviewCell reports. Medicine2024

Early-onset cancers: Biological bases and clinical implications.

Gianluca Mauri, Giorgio Patelli, Andrea Sartore-Bianchi, Sergio Abrignani, Beatrice Bodega, Silvia Marsoni, Vincenzo Costanzo, Angela Bachi, Salvatore Siena, Alberto Bardelli

Abstract readReview
In one paragraph

Review in Cell reports. Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Gianluca MauriIFOM ETS - The AIRC Institute of Molecular Oncology, Milan, Italy; Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milan, Italy; Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Giorgio PatelliIFOM ETS - The AIRC Institute of Molecular Oncology, Milan, Italy; Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milan, Italy; Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Andrea Sartore-BianchiDepartment of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milan, Italy; Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Sergio AbrignaniINGM, Istituto Nazionale Genetica Molecolare "Romeo ed Enrica Invernizzi", Milan, Italy; Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy.
Beatrice BodegaINGM, Istituto Nazionale Genetica Molecolare "Romeo ed Enrica Invernizzi", Milan, Italy; Department of Biosciences, University of Milan, Milan, Italy.
Silvia MarsoniIFOM ETS - The AIRC Institute of Molecular Oncology, Milan, Italy.
Vincenzo CostanzoIFOM ETS - The AIRC Institute of Molecular Oncology, Milan, Italy; Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milan, Italy.
Angela BachiIFOM ETS - The AIRC Institute of Molecular Oncology, Milan, Italy.
Salvatore SienaDepartment of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milan, Italy; Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Alberto BardelliIFOM ETS - The AIRC Institute of Molecular Oncology, Milan, Italy; Department of Oncology, Molecular Biotechnology Center, University of Torino, Torino, Italy. Electronic address: alberto.bardelli@unito.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the nineties, the incidence of sporadic early-onset (EO) cancers has been rising worldwide. The underlying reasons are still unknown. However, identifying them is vital for advancing both prevention and intervention. Here, we exploit available knowledge derived from clinical observations to formulate testable hypotheses aimed at defining the causal factors of this epidemic and discuss how to experimentally test them. We explore the potential impact of exposome changes from the millennials to contemporary young generations, considering both environmental exposures and enhanced susceptibilities to EO-cancer development. We emphasize how establishing the time required for an EO cancer to develop is relevant to defining future screening strategies. Finally, we discuss the importance of integrating multi-dimensional data from international collaborations to generate comprehensive knowledge and translate these findings back into clinical practice.

Indexed as

Age of OnsetNeoplasmsEnvironmental ExposureExposomeHumansRisk Factors

Identifiers

PMID39260369
PMCPMC11525030

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.