Evidence map›Paper›PMID 35295890›Full record

ReviewVisceral medicine2022

Molecular Profiling in Pancreatic Cancer: Current Role and Its Impact on Primary Surgery.

Carmen Mota Reyes, Alper Doğruöz, Rouzanna Istvanffy, Helmut Friess, Güralp O Ceyhan, Ihsan Ekin Demir

Open access · bronzeAbstract readReview
In one paragraph

Review in Visceral medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

6 authors at 3 institutions in 2 countries.

Carmen Mota ReyesDepartment of Surgery, Klinikum Rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany.
Alper DoğruözDepartment of Surgery, Klinikum Rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany.
Rouzanna IstvanffyDepartment of Surgery, Klinikum Rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany.
Helmut FriessDepartment of Surgery, Klinikum Rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany.
Güralp O CeyhanDepartment of General Surgery, HPB-Unit, School of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey.
Ihsan Ekin DemirDepartment of Surgery, Klinikum Rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany.
German Cancer Research Center · DEKent Hastanesi · TRTUM Klinikum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The advent of next-generation sequencing technologies has enabled the identification of molecular subtypes of pancreatic ductal adenocarcinoma (PDAC) with different biological traits and clinically targetable features. Summary: Although current chemotherapy trials are currently exploiting this knowledge, these molecular subtypes have not yet sufficiently caught the attention of surgeons. In fact, integration of these molecular subtypes into the timing of surgery can in theory improve patient outcome. Here, we present the molecular subtypes of PDAC from the surgeon's perspective and a clinically applicable algorithm that integrates the molecular subtyping of PDAC preoperatively into the decision of primary surgery versus neoadjuvant therapy. Furthermore, we point out the potential of "tailored" (in addition to conventional) neoadjuvant treatment for exploiting the molecular subtypes of PDAC. Key Messages: We believe that for surgeons, the preoperative knowledge on the subtype of PDAC can properly guide in deciding between upfront surgery versus neoadjuvant treatment for improving patient outcome.

Indexed as

Molecular subtypeNeoadjuvant surgeryPancreatic cancerPrimary

Identifiers

PMID35295890
PMCPMC8874240
OpenAlexW3209661611

What OpenQuestion 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 OpenQuestion graph.