Evidence map›Paper›PMID 39611898›Full record

ReviewAsian Pacific journal of cancer prevention : APJCP2024

Markers of Predicting Response to Neoadjuvant Chemotherapy in Breast Cancer: New in Molecular Oncology.

Ekaterina Kravtsova, Matvey Tsyganov, Irina Tsydenova, Daria Dolgasheva, Ksenia Gaptulbarova, Nikolai Litviakov, Marina Ibragimova

Abstract readReview
In one paragraph

Review in Asian Pacific journal of cancer prevention : APJCP, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Ekaterina KravtsovaCancer Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russian Federation.ORCID 0000-0002-9022-7764
Matvey TsyganovCancer Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russian Federation.ORCID 0000-0001-7419-4512
Irina TsydenovaCancer Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russian Federation.ORCID 0000-0002-2716-3075
Daria DolgashevaCancer Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russian Federation.ORCID 0000-0002-6763-920X
Ksenia GaptulbarovaCancer Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russian Federation.ORCID 0000-0003-1091-7528
Nikolai LitviakovCancer Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russian Federation.ORCID 0000-0002-0714-8927
Marina IbragimovaCancer Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russian Federation.ORCID 0000-0001-8815-2786

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is known that complete pathomorphological response (pCR) after neoadjuvant therapy (NAC) in patients with breast cancer (BC) correlates with higher rates of recurrence-free and overall survival. In turn, the widespread use of neoadjuvant therapy for the treatment of breast cancer defines the clinical need for prognostic markers of response to ongoing therapy. Currently, some clinicopathological prognostic factors are used to assess the potential benefit of neoadjuvant systemic therapy for female patients, but they have limited applicability. In the era of precision medicine and personalised treatment, a search for new prognostic markers is needed to better tailor patient-specific therapy. To date, novel factors have been proposed to predict response to preoperative treatment in breast cancer patients, but they are either not yet used in routine clinical practice or have limited application. Thus, this review summarises data on both established and proven biomarkers and the latest prognostic factors for response to neoadjuvant treatment in breast cancer patients.

Indexed as

Biomarkers, TumorBreast NeoplasmsNeoadjuvant TherapyFemaleHumansPrognosisBiomarkers, Tumorbreast cancerNeoadjuvant chemotherapypredictive biomarkers

Identifiers

PMID39611898
PMCPMC11996091

What Socratic 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 Socratic graph.