Evidence map›Paper›PMID 40029385›Full record

ReviewNaunyn-Schmiedeberg's archives of pharmacology2025

Tailored therapies for triple-negative breast cancer: current landscape and future perceptions.

Yumna Khan, Sana Rizvi, Ali Raza, Amna Khan, Sadique Hussain, Najeeb Ullah Khan, Saud O Alshammari, Qamar A Alshammari, Abdulkarim Alshammari, Doha El-Sayed Ellakwa

Expression of concernAbstract readReview
PubMed Publisher
In one paragraph

Review in Naunyn-Schmiedeberg's archives of pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It carries an expression of concern. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Pro-Apoptotic Activity of 1-(4,5,6,7-Tetrabromo-1International journal of molecular sciences · 2025
    Article
  7. Review
  8. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Yumna KhanInstitute of Biotechnology and Genetic Engineering, The University of Agriculture, Peshawar, 25130, Pakistan. yumnakhan4514@gmail.com.
Sana RizviBakhtawar Amin Medical and Dental College, Bakhtawar Amin Trust Teaching Hospital, Multan, Pakistan.
Ali RazaDepartment of Veterinary Microbiology, Faculty of Veterinary Medicine, Ataturk University, Erzurum, Turkey.
Amna KhanAbbottabad International Medical Institute, Abbottabad, 22020, Pakistan.
Sadique HussainUttaranchal Institute of Pharmaceutical Sciences, Uttaranchal University, Dehradun, Uttarakhand, 248007, India.
Najeeb Ullah KhanInstitute of Biotechnology and Genetic Engineering, The University of Agriculture, Peshawar, 25130, Pakistan.
Saud O AlshammariDepartment of Pharmacognosy and Alternative Medicine, College of Pharmacy, Northern Border University, 76321, Rafha, Saudi Arabia.
Qamar A AlshammariDepartment of Pharmacology and Toxicology, College of Pharmacy, Northern Border University, Rafha, Saudi Arabia.
Abdulkarim AlshammariDepartment of Clinical Practice, College of Pharmacy, Northern Border University, Rafha, Saudi Arabia.
Doha El-Sayed EllakwaDepartment of Biochemistry and Molecular Biology, Faculty of Pharmacy for Girls, Al-Azhar University, Cairo, Egypt. profdoha@gmail.com.ORCID 0000-0003-4824-3485

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) has become one of the most challenging cancers to date due to its great variability in biological features, high growth rate, and rare options for treatment. This review examines several innovative strategies for tailored treatment of TNBC, focusing mainly on the most recent developments and potential directions. The molecular landscape of TNBC is covered in the first section, which keeps the focus on transcriptome and genomic profiling while highlighting key molecular targets like mutations in the BRCA1/2, PIK3CA, androgen receptors (AR), epidermal growth factor receptors (EGFR), and immunological checkpoint molecules. This review also covers novel therapies that aim to block well-defined pathways, including immune checkpoint inhibitors (ICI), EGFR inhibitors, drugs that target AR, poly ADP ribose polymerase (PARP) inhibitors, and drugs that disrupt the PI3K/AKT/mTOR pathway. Additionally, it covers novel strategies focusing on combination therapy, targeting the DNA damage response pathway, and epigenetic modulators. Conclusively, it emphasizes perspectives and directions on topics such as personalized medicine, artificial intelligence (AI), predictive biomarkers, and treatment planning with the inclusion of machine learning (ML).

Indexed as

Precision MedicineTriple Negative Breast NeoplasmsAnimalsAntineoplastic AgentsArtificial IntelligenceBiomarkers, TumorEpigenetic RepressionFemaleHumansImmune Checkpoint InhibitorsMachine LearningMolecular Targeted TherapyAntineoplastic AgentsBiomarkers, TumorImmune Checkpoint InhibitorsBRCA1/2 mutationsPersonalized medicineTargeted therapiesTriple-negative breast cancer

Identifiers

What Socratic holds

Textmetadata
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.