Evidence map›Paper›PMID 29307306›Full record

ArticleJournal for immunotherapy of cancer2018

Viruses, bacteria, and parasites - oh my! a resurgence of interest in microbial-based therapy for cancer.

Andrew Zloza

Abstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Neuroimmunological Implications of Subclinical Lipopolysaccharide fromInternational journal of molecular sciences · 2018
    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.

Andrew ZlozaSection of Surgical Oncology Research, Division of Surgical Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA. andrew.zloza@rutgers.edu.ORCID 0000-0001-8844-6493

Funding

TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Tracie Saunders · 1997 to 2026
$94.5M
NCI NIH HHS P30 CA072720
6 · The paper itself

Abstract

As infections and cancer are two of the most common maladies affecting human beings, a concerted effort is needed to better understand their potential interactions and to further explore their use in microbial-based cancer treatments. Studies focusing on the interaction between pathogens and cancer began over 4000 years ago, but therapeutic application of pathogens has often been bypassed as other cancer therapies have gained wider interest. To many, the field of microbial-based cancer treatment may feel antiquated and already sufficiently explored. However, closer examination reveals that our current knowledge is but a series of dim reflections amongst many yet-unexplored shadows. Particularly, with our increased understanding of pathogen entry, replication, and senescence, coupled with our quickly increasing knowledge regarding cancer initiation, growth, and metastasis, and capped by our realization of the complexity and plasticity of the immune response, we are just now beginning to realize the vastness of the undiscovered area encompassing this field. At the same time, we are now uniquely poised with gained knowledge and discovered tools to join together across disciplines, uncover new positive and negative interactions between pathogens and cancer, and make important progress toward saving cancer patient lives.

Indexed as

BacteriaOncolytic VirusesParasitesAnimalsHumansNeoplasmsOncolytic VirotherapyImmunotherapyMicrobial-based cancer treatmentOncogenic virusOncolytic virusPathogen

Identifiers

PMID29307306
PMCPMC5757293

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.