Evidence map›Paper›PMID 30679171›Full record

ReviewCancer discovery2019

Insights into Molecular Classifications of Triple-Negative Breast Cancer: Improving Patient Selection for Treatment.

Ana C Garrido-Castro, Nancy U Lin, Kornelia Polyak

2 registry-linked trialsAbstract readReview
In one paragraph

Review in Cancer discovery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 855 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
855citing papers in PubMed, 7 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.

NCT05817227 recruitingnot on this mapstarted 2022, after this paper: background citation

Selenoproteins as Prognostic Markers and Therapeutic Targets in Breast Cancer.

TypeobservationalSponsorNational Cancer Institute, NaplesRan2022 to 2027Enrolled300ConditionsBreast Cancer
NCT06315868 recruitingnot on this mapstarted 2023, after this paper: background citation

Breast Cancer Subtype Characterization Through Patient's Derived Organoids". (BCinsightPDO)

Typeobservational_patient_registrySponsorFondazione Policlinico Universitario Agostino Gemelli IRCCSRan2023 to 2027Enrolled306ConditionsBreast Cancer, Organoids
3 · Its place in the literature

Who cites it

855 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Durvalumab plus Paclitaxel, with or without Capivasertib or Oleclumab, in Patients with Locally Advanced/Metastatic Triple-Negative Breast Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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  11. Prospective pilot study with [European journal of nuclear medicine and molecular imaging · 2026
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  15. Review
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795 more citing papers are in PubMed but not listed here.

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

3 authors.

Ana C Garrido-CastroDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-5989-6636
Nancy U LinDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Kornelia PolyakDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts. kornelia_polyak@dfci.harvard.edu.

Funding

Targeting intratumor heterogeneity in breast cancerR35CA197623 · NCI · DANA-FARBER CANCER INST · PI KORNELIA POLYAK · 2015 to 2026
$12.4M
NCI NIH HHS R35 CA197623
6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) remains the most challenging breast cancer subtype to treat. To date, therapies directed to specific molecular targets have rarely achieved clinically meaningful improvements in outcomes of patients with TNBC, and chemotherapy remains the standard of care. Here, we seek to review the most recent efforts to classify TNBC based on the comprehensive profiling of tumors for cellular composition and molecular features. Technologic advances allow for tumor characterization at ever-increasing depth, generating data that, if integrated with clinical-pathologic features, may help improve risk stratification of patients, guide treatment decisions and surveillance, and help identify new targets for drug development. SIGNIFICANCE: TNBC is characterized by higher rates of relapse, greater metastatic potential, and shorter overall survival compared with other major breast cancer subtypes. The identification of biomarkers that can help guide treatment decisions in TNBC remains a clinically unmet need. Understanding the mechanisms that drive resistance is key to the design of novel therapeutic strategies to help prevent the development of metastatic disease and, ultimately, to improve survival in this patient population.

Indexed as

Molecular Targeted TherapyPatient SelectionBiomarkers, TumorFemaleGene Expression ProfilingHumansPrognosisTriple Negative Breast NeoplasmsBiomarkers, Tumor

Identifiers

PMID30679171
PMCPMC6387871

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.