Evidence map›Paper›PMID 38350884›Full record

ArticleMolecular cancer2024

Multicancer screening test based on the detection of circulating non haematological proliferating atypical cells.

Natalia Malara, Maria Laura Coluccio, Fabiana Grillo, Teresa Ferrazzo, Nastassia C Garo, Giuseppe Donato, Annamaria Lavecchia, Franco Fulciniti, Anna Sapino, Eliano Cascardi and 13 more

Registry-linked trialAbstract readLetter
In one paragraph

Article in Molecular cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06314997 (Dynamic Changes in RAS Gene Status and HER2 Expression in Circulating Tumour Cells), which is not on this map. Cited by 7 papers.

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

NCT06314997 phase2recruitingnot on this map

Dynamic Changes in RAS Gene Status and HER2 Expression in Circulating Tumour Cells: a Phase II Trial

TypeinterventionalSponsorMatteo's FriendsRan2019 to 2027Enrolled150ConditionsObjective Responsive Rate (ORR)Armspanitumumab (EGFR inhibitors)
3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Artificial intelligence for cancer screening and surveillance.ESMO real world data and digital oncology · 2024
    Review
  7. 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.

Natalia MalaraDepartment of Health Sciences, University Magna Graecia, Catanzaro, IT, Italy. nataliamalara@unicz.it.
Maria Laura ColuccioDepartment of Experimental and Clinical Medicine, University Magna Graecia, Catanzaro, IT, Italy.
Fabiana GrilloDepartment of Chemistry, University of Leicester, Leicester, UK.
Teresa FerrazzoDepartment of Health Sciences, University Magna Graecia, Catanzaro, IT, Italy.
Nastassia C GaroDepartment of Health Sciences, University Magna Graecia, Catanzaro, IT, Italy.
Giuseppe DonatoDepartment of Health Sciences, University Magna Graecia, Catanzaro, IT, Italy.
Annamaria LavecchiaPathology Unit Pugliese Ciaccio Hospital, Catanzaro, IT, Italy.
Franco FulcinitiUnilabs Pathology, Lugano, CH, Switzerland.
Anna SapinoCandiolo Cancer Institute, FPO-IRCCS, Candiolo (TO), Turin, Italy.
Eliano CascardiCandiolo Cancer Institute, FPO-IRCCS, Candiolo (TO), Turin, Italy.
Antonella PellegriniSocietà Italiana di Citologia (SICi), AO S.Giovanni-Addolorata, President, Roma, IT, Italy.
Prassede FoxiCytodiagnostic Pistoia-Pescia Unit, USL Toscana Centro, Pistoia, IT, 51100, Italy.
Cesare FurlanelloLIGHT Center, Brescia, IT, 25123, Italy.
Giovanni NegriPathology Unit, Central Hospital Bolzano, via Boehler 5, Bolzano, IT, 39100, Italy.
Guido FaddaHuman Pathology Department, Gaetano Barresi University, Messina, IT, Italy.
Arrigo CapitanioLinköping University Hospital SE , Linköping University, Linköping, Sweden.
Salvatore PullanoDepartment of Health Sciences, University Magna Graecia, Catanzaro, IT, Italy.
Virginia M GaroDepartment of Health Sciences, University Magna Graecia, Catanzaro, IT, Italy.
Francesca FerrazzoDepartment of Health Sciences, University Magna Graecia, Catanzaro, IT, Italy.
Alarice LoweDepartment of Pathology, Stanford University Hospital, Stanford, CA, USA.
Angela TorselloUOC Oncology, AO San Giovanni, Roma, IT, Italy.
Patrizio CandeloroDepartment of Experimental and Clinical Medicine, University Magna Graecia, Catanzaro, IT, Italy.
Francesco GentileDepartment of Experimental and Clinical Medicine, University Magna Graecia, Catanzaro, IT, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundthe problem in early diagnosis of sporadic cancer is understanding the individual's risk to develop disease. In response to this need, global scientific research is focusing on developing predictive models based on non-invasive screening tests. A tentative solution to the problem may be a cancer screening blood-based test able to discover those cell requirements triggering subclinical and clinical onset latency, at the stage when the cell disorder, i.e. atypical epithelial hyperplasia, is still in a subclinical stage of proliferative dysregulation.

methodsa well-established procedure to identify proliferating circulating tumor cells was deployed to measure the cell proliferation of circulating non-haematological cells which may suggest tumor pathology. Moreover, the data collected were processed by a supervised machine learning model to make the prediction.

resultsthe developed test combining circulating non-haematological cell proliferation data and artificial intelligence shows 98.8% of accuracy, 100% sensitivity, and 95% specificity.

conclusionthis proof of concept study demonstrates that integration of innovative non invasive methods and predictive-models can be decisive in assessing the health status of an individual, and achieve cutting-edge results in cancer prevention and management.

Indexed as

Artificial IntelligenceNeoplasmsHumansCancer preventionLiquid biopsyMulticancer diagnosisNeural network algorithmNon heamatological proliferating cellsPredictive modelSupervised machine learning

Identifiers

PMID38350884
PMCPMC10863189

What OpenQuestion holds

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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.