Evidence map›Paper›PMID 34503132›Full record

ReviewCancers2021

Beyond Chemotherapy, PD-1, and HER-2: Novel Targets for Gastric and Esophageal Cancer.

Ali Zubair Siddiqui, Khaldoun Almhanna

Abstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Proximal esophageal adenocarcinoma: A rare case report.International journal of surgery case reports · 2024
    Article
  6. Article
  7. Observational
  8. Development and comparison ofMolecular therapy oncolytics · 2022
    Article
  9. Article
  10. Article
  11. 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

2 authors.

Ali Zubair SiddiquiUniversity of Mississippi Medical Center, University of Mississippi School of Medicine, Jackson, MS 39216, USA.
Khaldoun AlmhannaThe Brown University Oncology Research Group, The Rhode Island Hospital/Lifespan Cancer Institute, Providence, RI 02903, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Together, gastric cancer and esophageal cancer (EC) possess two of the highest incidence rates amongst all cancers. They exhibit poor prognoses in which the 5-year survival rate is dismal. In addition to cytotoxic chemotherapy, treatment efforts have been geared toward targeting human epidermal growth factor receptor 2 (HER-2), vascular endothelial growth factor (VEGF), and programmed death ligand-1 (PD-1). Although ample success has been recorded with these agents, gastric and esophageal cancer remain lethal, and further research into potential treatment alternatives is needed. In this article, we will review some of the targets at the forefront of investigation such as claudin, Dickkopf-related protein 1 (DKK-1), fibroblast growth factor receptor (FGFR), and matrix metalloproteinases (MMPs). These innovative target pathways are in the midst of clinical trials to be implemented in the treatment algorithm for this patient population. Ultimately, exploiting the oncogenic tendencies of these potential biomarkers creates an opportunity for precise treatment and improved prognosis for these cancers. Lastly, research aimed toward reversing PD-1 antibodies resistance by combining it with other novel agents or other treatment modalities is underway in order to expand existing treatment options for this patient population.

Indexed as

claudinDickkopf-related protein 1esophageal cancerfibroblast growth factorgastric cancerlenvatinibmatrix metalloproteinases

Identifiers

PMID34503132
PMCPMC8430615

What OpenQuestion holds

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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.