Evidence map›Paper›PMID 27522951›Full record

ArticleMolecular oncology2016

Plasma protein profiling in a stage defined pancreatic cancer cohort - Implications for early diagnosis.

Anna Sandström Gerdtsson, Christer Wingren, Helena Persson, Payam Delfani, Malin Nordström, He Ren, Xin Wen, Ulrika Ringdahl, Carl A K Borrebaeck, Jihui Hao

Open access · bronzeAbstract read
In one paragraph

Article in Molecular oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.7field-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.

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

19 citing papers in PubMed, 30 citations in OpenAlex.

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  10. Familial Pancreatic Cancer: Current Perspectives.Cancer management and research · 2020
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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

10 authors at 3 institutions in 3 countries.

Anna Sandström GerdtssonDepartment of Immunotechnology, CREATE Health Translational Cancer Center, Medicon Village bldg. 406, Lund University, SE 223 81 Lund, Sweden. Electronic address: anna.sandstrom@immun.lth.se.
Christer WingrenDepartment of Immunotechnology, CREATE Health Translational Cancer Center, Medicon Village bldg. 406, Lund University, SE 223 81 Lund, Sweden. Electronic address: christer.wingren@immun.lth.se.
Helena PerssonDepartment of Immunotechnology, CREATE Health Translational Cancer Center, Medicon Village bldg. 406, Lund University, SE 223 81 Lund, Sweden. Electronic address: helena.persson@immun.lth.se.
Payam DelfaniDepartment of Immunotechnology, CREATE Health Translational Cancer Center, Medicon Village bldg. 406, Lund University, SE 223 81 Lund, Sweden. Electronic address: payam.delfani@immun.lth.se.
Malin NordströmImmunovia AB, Medicon Village, SE 223 81 Lund, Sweden. Electronic address: malin.nordstrom@immunovia.se.
He RenTianjin Medical University Cancer Institute & Hospital, Huan-Hu-Xi Road, Ti-Huan-Bei, He Xi District, Tianjin 300060, PR China. Electronic address: renhe@tjmuch.com.
Xin WenTianjin Medical University Cancer Institute & Hospital, Huan-Hu-Xi Road, Ti-Huan-Bei, He Xi District, Tianjin 300060, PR China. Electronic address: xinwen8685@163.com.
Ulrika RingdahlDepartment of Immunotechnology, CREATE Health Translational Cancer Center, Medicon Village bldg. 406, Lund University, SE 223 81 Lund, Sweden. Electronic address: ulrika.ringdahl@skane.se.
Carl A K BorrebaeckDepartment of Immunotechnology, CREATE Health Translational Cancer Center, Medicon Village bldg. 406, Lund University, SE 223 81 Lund, Sweden. Electronic address: carl.borrebaeck@immun.lth.se.
Jihui HaoTianjin Medical University Cancer Institute & Hospital, Huan-Hu-Xi Road, Ti-Huan-Bei, He Xi District, Tianjin 300060, PR China. Electronic address: haojihui@tjmuch.com.
Lund University · SETianjin Medical University Cancer Institute and Hospital · CNMedicon Village · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a disease where detection preceding clinical symptoms significantly increases the life expectancy of patients. In this study, a recombinant antibody microarray platform was used to analyze 213 Chinese plasma samples from PDAC patients and normal control (NC) individuals. The cohort was stratified according to disease stage, i.e. resectable disease (stage I/II), locally advanced (stage III) and metastatic disease (stage IV). Support vector machine analysis showed that all PDAC stages could be discriminated from controls and that the accuracy increased with disease progression, from stage I to IV. Patients with stage I/II PDAC could be discriminated from NC with high accuracy based on a plasma protein signature, indicating a possibility for early diagnosis and increased detection rate of surgically resectable tumors.

Indexed as

AdultAgedAged, 80 and overAsian PeopleBiomarkers, TumorBlood ProteinsCase-Control StudiesCohort StudiesFemaleHumansMaleMiddle AgedNeoplasm StagingPancreatic NeoplasmsPrincipal Component AnalysisProteomicsBiomarkers, TumorBlood ProteinsAntibody microarraysBiomarker signaturesEarly detectionPancreatic cancerRecombinant antibodies

Identifiers

PMID27522951
PMCPMC5423191
OpenAlexW2471953767

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.