Evidence map›Paper›PMID 35599791›Full record

ReviewFrontiers in surgery2022

Predictive Biomarkers for a Personalized Approach in Resectable Pancreatic Cancer.

Valeria Merz, Domenico Mangiameli, Camilla Zecchetto, Alberto Quinzii, Silvia Pietrobono, Carlo Messina, Simona Casalino, Marina Gaule, Camilla Pesoni, Pasquale Vitale and 4 more

Abstract readReview
In one paragraph

Review in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
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  5. 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

14 authors.

Valeria MerzMedical Oncology Unit, Santa Chiara Hospital, Trento, Italy.
Domenico MangiameliDigestive Molecular Clinical Oncology Research Unit, Università degli Studi di Verona, Verona, Italy.
Camilla ZecchettoInvestigational Cancer Therapeutics Clinical Unit, Azienda Ospedaliera Universitaria Integrata, Verona, Italy.
Alberto QuinziiInvestigational Cancer Therapeutics Clinical Unit, Azienda Ospedaliera Universitaria Integrata, Verona, Italy.
Silvia PietrobonoDigestive Molecular Clinical Oncology Research Unit, Università degli Studi di Verona, Verona, Italy.
Carlo MessinaOncology Unit, A.R.N.A.S. Civico, Palermo, Italy.
Simona CasalinoInvestigational Cancer Therapeutics Clinical Unit, Azienda Ospedaliera Universitaria Integrata, Verona, Italy.
Marina GauleInvestigational Cancer Therapeutics Clinical Unit, Azienda Ospedaliera Universitaria Integrata, Verona, Italy.
Camilla PesoniInvestigational Cancer Therapeutics Clinical Unit, Azienda Ospedaliera Universitaria Integrata, Verona, Italy.
Pasquale VitaleMedical Oncology Unit, Santa Chiara Hospital, Trento, Italy.
Chiara TrentinMedical Oncology Unit, Santa Chiara Hospital, Trento, Italy.
Michela FrisinghelliMedical Oncology Unit, Santa Chiara Hospital, Trento, Italy.
Orazio CaffoMedical Oncology Unit, Santa Chiara Hospital, Trento, Italy.
Davide MelisiDigestive Molecular Clinical Oncology Research Unit, Università degli Studi di Verona, Verona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mainstay treatment for patients with immediate resectable pancreatic cancer remains upfront surgery, which represents the only potentially curative strategy. Nevertheless, the majority of patients surgically resected for pancreatic cancer experiences disease relapse, even when a combination adjuvant therapy is offered. Therefore, aiming at improving disease free survival and overall survival of these patients, there is an increasing interest in evaluating the activity and efficacy of neoadjuvant and perioperative treatments. In this view, it is of utmost importance to find biomarkers able to select patients who may benefit from a preoperative therapy rather than upfront surgical resection. Defined genomic alterations and a dynamic inflammatory microenvironment are the major culprits for disease recurrence and resistance to chemotherapeutic treatments in pancreatic cancer patients. Signal transduction pathways or tumor immune microenvironment could predict early recurrence and response to chemotherapy. In the last decade, distinct molecular subtypes of pancreatic cancer have been described, laying the bases to a tailored therapeutic approach, started firstly in the treatment of advanced disease. Patients with homologous repair deficiency, in particular with mutant germline BRCA genes, represent the first subgroup demonstrating to benefit from specific therapies. A fraction of patients with pancreatic cancer could take advantage of genome sequencing with the aim of identifying possible targetable mutations. These genomic driven strategies could be even more relevant in a potentially curative setting. In this review, we outline putative predictive markers that could help in the next future in tailoring the best therapeutic strategy for pancreatic cancer patients with a potentially curable disease.

Indexed as

microbiotamolecular profilingneoadjuvant therapypredictive factorspreoperative treatmentresectable pancreatic cancertarget therapytumor microenvironment

Identifiers

PMID35599791
PMCPMC9114435

What OpenQuestion holds

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Registered trials

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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.