Evidence map›Paper›PMID 37427344›Full record

ReviewOncology letters2023

Natural products as drug candidates for breast cancer (Review).

Nitin T Telang

Open access · diamondAbstract readReview
In one paragraph

Review in Oncology letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Exploring the Therapeutic Potential ofAnti-cancer agents in medicinal chemistry · 2026
    Review
  5. Article
  6. Review
  7. Anti‑proliferative effects ofOncology letters · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. 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

1 author.

Nitin T TelangCancer Prevention Research Program, Palindrome Liaisons Consultants, Montvale, NJ 07645-1559, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Progression of early-stage breast cancer to advanced-stage metastatic disease represents a major cause of death in women. Long-term conventional and targeted therapy for breast cancer includes multi-drug combinations of cytotoxic chemotherapeutics and pathway-selective small molecule inhibitors. These treatment options are frequently associated with systemic toxicity, intrinsic/acquired therapy resistance and emergence of a drug-resistant cancer stem cell population. This stem cell population has a chemo-resistant, cancer-initiating, premalignant phenotype that is accompanied by cellular plasticity and metastatic potential. These limitations emphasize an unmet need to identify testable alternatives against therapy-resistant metastatic breast cancer. Natural products such as dietary phytochemicals, nutritional herbs and their constitutive bioactive agents have documented human consumption, and lack detectable systemic toxicity and resultant off-target unfavorable side effects. Because of these advantages, natural products may represent testable alternatives for therapy-resistant breast cancer. The present review discusses published evidence for growth inhibitory efficacy of natural products on cellular models for molecular subtypes of clinical breast cancer and development of drug-resistant stem cell models. Collectively, this evidence validates mechanism-based experimental approaches to screen and prioritize efficacious bioactive agents from natural products as novel drug candidates that may function as therapeutic alternatives for breast cancer.

Indexed as

breast cancerdrug candidatesherbal extractsnatural products

Identifiers

PMID37427344
PMCPMC10326826
OpenAlexW4382398104

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.