Evidence map›Paper›PMID 36813867›Full record

ArticleBritish journal of cancer2023

Clinical and biological markers predictive of treatment response associated with metastatic pancreatic adenocarcinoma.

Alimu Dayimu, Lorena Di Lisio, Shubha Anand, Isart Roca-Carreras, Wendi Qian, Abdulrahman Al-Mohammad, Bristi Basu, Juan W Valle, Duncan Jodrell, Nikos Demiris and 1 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03529175 (Randomised Phase II Trial to Investigate Two Different Schedules of Nab-paclitaxel), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.8field-weighted citation impact, top 9% 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.

NCT03529175 phase2completednot on this map

Randomised Phase II Trial to Investigate Two Different Schedules of Nab-paclitaxel (Abraxane) Combined With Gemcitabine as First Line Treatment for Metastatic Pancreatic Ductal Adenocarcinoma

TypeinterventionalSponsorCCTU- Cancer ThemeRan2014 to 2016Enrolled146ConditionsPancreatic Adenocarcinoma MetastaticArmsAbraxane (nab-paclitaxel), Gemcitabine
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. The value of FOLFIRINOX in advanced pancreatic cancer: balancing efficacy, toxicity, and quality of life.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. The Prognostic Impact of Early ctDNA Kinetics in Metastatic Pancreatic Cancer Using the ctDNA-RECIST.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  9. Observational
  10. Article
  11. Article
  12. 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

11 authors at 3 institutions in 2 countries.

Alimu DayimuClinical Trials Unit, Department of Oncology, University of Cambridge, Cambridge, UK.ORCID 0000-0001-9998-7463
Lorena Di LisioCancer Molecular Diagnostics Laboratory, Department of Oncology, University of Cambridge, Cambridge, UK.
Shubha AnandCancer Molecular Diagnostics Laboratory, Department of Oncology, University of Cambridge, Cambridge, UK.
Isart Roca-CarrerasCancer Molecular Diagnostics Laboratory, Department of Oncology, University of Cambridge, Cambridge, UK.
Wendi QianCambridge Clinical Trials Unit, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Abdulrahman Al-MohammadOncology Department, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Bristi BasuDepartment of Oncology, University of Cambridge, Cambridge, UK.
Juan W ValleUniversity of Manchester and The Christie NHS Foundation Trust, Manchester, UK.ORCID 0000-0002-1999-0863
Duncan JodrellDepartment of Oncology, University of Cambridge, Cambridge, UK.ORCID 0000-0001-9360-1670
Nikos DemirisCambridge Clinical Trials Unit, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Pippa CorrieOncology Department, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK. philippa.corrie@nhs.net.ORCID 0000-0003-4875-7021
University of Cambridge · GBCambridge University Hospitals NHS Foundation Trust · GBUniversity of Manchester · GB

Funding

Cancer Research UK 15678
6 · The paper itself

Abstract

backgroundChemotherapy for metastatic pancreatic adenocarcinoma (PDAC) offers limited benefits, but survival outcomes vary. Reliable predictive response biomarkers to guide patient management are lacking.

methodsPatient performance status, tumour burden (determined by the presence or absence of liver metastases), plasma protein biomarkers (CA19-9, albumin, C-reactive protein and neutrophils) and circulating tumour DNA (ctDNA) were assessed in 146 patients with metastatic PDAC prior to starting either concomitant or sequential nab-paclitaxel + gemcitabine chemotherapy in the SIEGE randomised prospective clinical trial, as well as during the first 8 weeks of treatment. Correlations were made with objective response, death within 1 year and overall survival (OS).

resultsInitial poor patient performance status, presence of liver metastases and detectable

conclusionsReadily measurable patient variables can aid the prediction of outcomes from combination chemotherapy used to treat metastatic PDAC. The role of CLINICAL

trial registrationISRCTN71070888; ClinialTrials.gov (NCT03529175).

Indexed as

AdenocarcinomaLiver NeoplasmsPancreatic NeoplasmsAlbuminsAntineoplastic Combined Chemotherapy ProtocolsCA-19-9 AntigenHumansPaclitaxelProspective StudiesProto-Oncogene Proteins p21(ras)AlbuminsCA-19-9 AntigenPaclitaxelProto-Oncogene Proteins p21(ras)

Identifiers

PMID36813867
PMCPMC10133256
OpenAlexW4321481755

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.