Evidence map›Paper›PMID 36635659›Full record

ReviewMolecular cancer2023

Unravelling the enigma of siRNA and aptamer mediated therapies against pancreatic cancer.

Zhe Liu, Neha Parveen, Urushi Rehman, Aisha Aziz, Afsana Sheikh, Mohammed A S Abourehab, Wei Guo, Junhao Huang, Zhenning Wang, Prashant Kesharwani

Open access · goldAbstract readReview
In one paragraph

Review in Molecular cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
9.7field-weighted citation impact, top 1% 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

15 citing papers in PubMed, 63 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Engineering a spatiotemporal macrophage circuit via STING phase separation to override immune suppression in pancreatic cancer.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Review
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  15. 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

10 authors at 5 institutions in 3 countries.

Zhe Liu *Department of Pancreatic-Biliary Surgery, The First Hospital of China Medical University, Shenyang, China.
Neha Parveen *Department of Pharmaceutics, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, 110062, India.
Urushi Rehman *Department of Pharmaceutics, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, 110062, India.
Aisha AzizDepartment of Pharmaceutics, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, 110062, India.
Afsana SheikhDepartment of Pharmaceutics, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, 110062, India.
Mohammed A S AbourehabDepartment of Pharmaceutics, College of Pharmacy, Umm Al-Qura University, Makkah, 21955, Saudi Arabia.
Wei GuoDepartment of Pancreatic-Biliary Surgery, The First Hospital of China Medical University, Shenyang, China.
Junhao HuangDepartment of Pancreatic-Biliary Surgery, The First Hospital of China Medical University, Shenyang, China.
Zhenning WangDepartment of Surgical Oncology and General Surgery, The First Hospital of China Medical University, 155N. Nanjing Street, Shenyang, 110001, Liaoning, China. znwang@cmu.edu.cn.
Prashant KesharwaniDepartment of Pharmaceutics, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, 110062, India. prashantdops@gmail.com.
Jamia Hamdard · INChina Medical University · CNFirst Hospital of China Medical University · CNSaveetha University · INUmm al-Qura University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer (PC) is a fatal disease that has a poor 5-year survival rate. The poor prognosis can be attributed to both troublesome detections at the initial stage, which makes the majority of the treatment options largely unsuccessful and leads to extensive metastasis, as well as to its distinct pathophysiological characteristics, such as rich desmoplastic tumours bounded by dysplastic and hypo perfused vessels restricting the mobility of therapeutic agents. Continued attempts have been made to utilise innovative measures for battling PC to increase the therapeutic effectiveness of therapies and overcome their cytotoxicity. Combined cancer targeting and gene silencing approach has shown improved outcomes in patients' survival rates and quality of life, offering a potential solution to therapeutic complications. It particularly targets various barriers to alleviate delivery problems and diminish tumour recurrence and metastasis. While aptamers, a type of single-stranded nucleic acids with strong binding affinity and specificity to target molecules, have recently surfaced as a viable PC strategy, siRNA can interfere with the expression of certain genes. By concurrently suppressing genes and boosting targeted approach, the cocktail of siRNA/Aptamer and other therapeutic drugs can circumvent the multi-drug resistance phenomena. Additionally, combination therapy with additive or synergistic effects can considerably increase the therapeutic efficacy of anti-cancer medications. This study outlines the primary difficulties in treating PC, along with recent developments in siRNA/Aptamer mediated drug delivery to solve the major hiccup of oncology field.

Indexed as

Antineoplastic AgentsAptamers, NucleotidePancreatic NeoplasmsHumansNeoplasm Recurrence, LocalQuality of LifeRNA, Small InterferingAntineoplastic AgentsAptamers, NucleotideRNA, Small InterferingAptamersChemotherapeuticCombination therapyNanoparticlesPancreatic cancersiRNA

Identifiers

PMID36635659
PMCPMC9835391
OpenAlexW4315652218

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.