Copyright: ©Author(s) 2026.
World J Transl Med. Nov 28, 2026; 12(4): 126295
Published online Nov 28, 2026. doi: 10.5528/wjtm.126295
Published online Nov 28, 2026. doi: 10.5528/wjtm.126295
Table 1 Population, intervention, comparison, outcome, and study design framework for study eligibility
| Criteria | Review stage | Inclusion | Exclusion |
| Study design | Abstract/full article review | Original human studies evaluating the prognostic significance of tumor-derived transcriptomic and/or proteomic biomarkers in PDAC. Eligible designs include prospective or retrospective cohort studies, nested biomarker studies, translational correlative studies embedded within clinical trials, and secondary analyses of publicly available human molecular datasets (e.g., TCGA, ICGC, CPTAC). Eligible only if the study demonstrated an independent prognostic biomarker, i.e. the tumor transcriptomic/proteomic biomarker remained significantly associated with the survival outcome in an adjusted multivariable time-to-event model including clinicopathological covariates | In vitro studies, cell line studies, animal studies, narrative reviews, systematic reviews, meta-analyses, editorials, letters, commentaries, protocols, case reports, case series with insufficient outcome data, and conference abstracts without full-text data |
| Population | Abstract/full article review | Adults (≥ 18 years) with histologically confirmed PDAC, including resectable, locally advanced unresectable, and metastatic disease, provided that survival or other prognostic outcome data were available | Studies focused exclusively on non-PDAC malignancies, including pancreatic neuroendocrine neoplasms, periampullary cancers, ampullary cancers, cholangiocarcinoma, acinar cell carcinoma, or mixed pancreatic tumor populations where PDAC-specific results cannot be disaggregated |
| Treatment/intervention | Abstract/full article review | Tumor molecular profiling using transcriptomic or proteomic methods, including RNA sequencing, gene expression microarrays, qPCR-based tumor expression profiling, mass spectrometry-based proteomics, RPPA, or molecular signatures derived from transcriptomic/proteomic datasets | Studies based solely on clinical variables, histopathology without molecular profiling, circulating biomarkers only, imaging biomarkers only, radiomics without molecular tumor data, genomic/DNA-only biomarkers without transcriptomic or proteomic readout, or studies lacking explicit biomarker assessment |
| Comparator | Abstract/full article review | Comparisons across biomarker-defined strata, such as high vs low expression, biomarker-positive vs biomarker-negative status, molecular subtype classification, or low- vs high-risk prognostic groups derived from transcriptomic/proteomic signatures | Studies with no biomarker-based stratification or no analysable comparison across molecular groups |
| Outcomes | Abstract/full article review | Primary outcome: OS. Secondary outcomes: PFS, DFS, RFS, CSS, PFI, and other clinically relevant time-to-event prognostic outcomes | Studies not reporting survival, recurrence, or other prognostic time-to-event outcomes; studies reporting only treatment response without survival correlation |
| Biomarker modality and sample type | Abstract/full article review | Eligible only if the biomarker was a transcriptomic (RNA) or proteomic readout measured in PDAC tumor tissue (resection specimen, biopsy, or FFPE/fresh-frozen archival tissue), including tumor tissue profiled by RNA-seq, microarray, qPCR, NanoString, mass spectrometry, RPPA, or IHC-validated protein expression where the protein readout was the tested prognostic marker. Multimodal studies are eligible if tumor transcriptomic/proteomic results are reported separately and can be disaggregated | Not eligible: (1) Liquid biopsy/circulating analytes as the sole readout (ctDNA, cfDNA, CTCs, circulating or exosomal miRNA/mRNA, plasma or serum proteomics, CA19-9 and other serum markers); (2) Histopathology alone (grade, stage, margin status, lymphovascular or perineural invasion, tumor budding, stroma scoring) without a molecular readout; (3) Genomic/DNA-only markers (KRAS, TP53, SMAD4, or CDKN2A mutations; copy number; methylation; TMB; MSI) with no transcript- or protein-level measurement; (4) Imaging/radiomics markers; and (5) Germline variants. These modalities were recorded at screening but excluded from data extraction unless accompanied by a tumor transcriptomic or proteomic result |
- Citation: Tarara V, Panteris E, Varlamis S, Andreadou E, Pessach I, Bobos M, Chatzidimitriou M, Mitka S, Papoutsi A, Eleftheriou P, Skepastianos P, Karamitrousis E. Prognostic biomarkers for pancreatic ductal adenocarcinoma: A contemporary systematic review and modelling study. World J Transl Med 2026; 12(4): 126295
- URL: https://www.wjgnet.com/2220-6132/full/v12/i4/126295.htm
- DOI: https://dx.doi.org/10.5528/wjtm.126295