Evidence map›Paper›PMID 38070048›Full record

Observational studyClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2024

Validation of prognostic and predictive value of total tumoral load after primary systemic therapy in breast cancer using OSNA assay.

Laia Bernet-Vegué, Carolina Cantero-González, Magdalena Sancho de Salas, David Parada, Tiziana Perin, Zulma Quintero-Niño, Begoña Vieites Pérez-Quintela, Douglas Sánchez-Guzmán, Marina Castelvetere, David Hardisson Hernaez and 1 more

Open access · hybridAbstract readMulticenter StudyObservational StudyValidation Study
In one paragraph

Observational study in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Observational
  2. 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

11 authors at 9 institutions in 2 countries.

Laia Bernet-VeguéBreast Area, Department of Anatomic Pathology, Ribera Salud Hospitals, Valencia, Spain. mebernet@riberasalud.es.ORCID http://orcid.org/0000-0001-8120-0159
Carolina Cantero-GonzálezDepartment of Pathology, Complejo Hospitalario de Jaen, Jaén, Spain.
Magdalena Sancho de SalasDepartamento de Anatomía Patológica del, Complejo Asistencial Universitario de Salamanca, Salamanca, Spain.
David ParadaMolecular Pathology Unit, Department of Pathology, Hospital Universitari de Sant Joan, Institut d'Investigació Sanitària Pere Virgili, Facultat de Medicina i Ciències de la Salut, Universitat Rovira i Virgili, Reus, Tarragona, Spain.
Tiziana PerinPathology Unit, Centro di Riferimento Oncologico di Aviano (C.R.O.), IRCCS, Aviano, Italy.
Zulma Quintero-NiñoDepartamento de Anatomía Patológica, Hospital Universitario La Ribera, Alzira, Spain.
Begoña Vieites Pérez-QuintelaDepartment of Pathology, University Hospital Virgen del Rocío, Seville, Spain.
Douglas Sánchez-GuzmánPathology Department, Arnau de Vilanova University Hospital, Lleida, Spain.
Marina CastelveterePathological Anatomy Laboratory, Casa Sollievo della Sofferenza, San Giovanni Rotondo, FG, Italy.
David Hardisson HernaezDepartment of Pathology, Hospital Universitario La Paz, Molecular Pathology and Therapeutic Targets Group, Hospital La Paz Insitute of Research (IdiPAZ), Center for Biomedical Research in the Cancer Network (CIBERONC), Instituto de Salud Carlos III, Faculty of Medicine, Universidad Autónoma de Madrid, Madrid, Spain.
María Dolores Martín-SalvagoDepartment of Pathology, Complejo Hospitalario de Jaen, Jaén, Spain.
Complejo Hospitalario de Jaén · ESHospital de La Ribera · ESCasa Sollievo della Sofferenza · ITCentro di Riferimento Oncologico · ITComplejo Hospitalario de Salamanca · ESHospital Universitari Arnau de Vilanova · ESHospital Universitario La Paz · ESHospital Universitario Virgen del Rocío · ESInstitut de Recerca Biomèdica Catalunya Sud · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to validate the classification of breast cancer (BC) patients in progression risk groups based on total tumor load (TTL) value to predict lymph node (LN) affectation after neo-adjuvant systemic therapy (NAST) obtained in the NEOVATTL study. METHODS/PATIENTS: This was an observational, retrospective, international, multicenter study including patients with infiltrating BC who received NAST followed by sentinel lymph node biopsy (SLNB) analyzed with one-step nucleic acid amplification (OSNA) from nine Spanish and two Italian hospitals. Patients were classified into three groups according to the progression risk, measured as disease-free survival (DFS), based on TTL values (> 250, 250-25,000, and > 25,000 copies/μL). The previous (NEOVATTL study) Cox regression model for prognosis was validated using prognostic index (PI) and Log ratio test (LRT) analyses; the value of TTL for axillary non-SLN affectation was assessed using receiver operating characteristic (ROC) curves.

resultsWe included 263 patients with a mean age of 51.4 (± SD 10.5) years. Patients with TTL > 25,000 copies/μL had a shorter DFS (HR 3.561 [95% CI 1.693-7.489], p = 0.0008 vs. TTL ≤ 25,000). PI and LRT analyses showed no differences between the two cohorts (p = 0.2553 and p = 0.226, respectively). ROC analysis showed concordance between TTL and non-SLN involvement (area under the curve 0.828), with 95.7% sensitivity and 92.9% specificity at a TTL cut-off of > 15,000 copies/μL.

conclusionsIn BC patients who had received NAST and underwent SLNB analysis using OSNA, a TTL value of > 25,000 copies/μL was associated with a higher progression risk and > 15,000 copies/μL was predictive of non-SLN involvement.

Indexed as

Breast NeoplasmsAdultFemaleHumansLymphatic MetastasisLymph Node ExcisionLymph NodesMiddle AgedNucleic Acid Amplification TechniquesPrognosisRetrospective StudiesSentinel Lymph Node BiopsyTumor BurdenAxillary lymphadenectomyBreast cancerPrimary systemic treatmentSentinel lymph node biopsyTotal tumor load

Identifiers

PMID38070048
PMCPMC11026238
OpenAlexW4389507419

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.