In one paragraphArticle in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
11 authors.
Minwook KimDepartment of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA USA.ORCID 0000-0002-0093-4562 Shikai HuDepartment of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA USA.
Yoojeong ParkDepartment of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA USA.ORCID 0009-0005-1828-7147 Joseph KwonDepartment of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA USA.ORCID 0009-0005-9945-2211 Laura MolinaDepartment of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA USA.
Li-Ju WangUniversity of Pittsburgh Medical Center Hillman Cancer Center, Pittsburgh, PA USA.
Jia-Jun LiuDepartment of Pharmacology and Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA USA.ORCID 0009-0001-3677-613X Silvia LiuPittsburgh Liver Research Center, University of Pittsburgh Medical Center and University of Pittsburgh School of Medicine, Pittsburgh, PA USA.
Aatur SinghiDepartment of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA USA.
Yu-Chiao ChiuPittsburgh Liver Research Center, University of Pittsburgh Medical Center and University of Pittsburgh School of Medicine, Pittsburgh, PA USA.ORCID 0000-0003-1647-8634 Funding
VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHRISTOPHER J. BAKKENIST · 1988 to 2026
$158.0MPittsburgh Liver Research CenterP30DK120531 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Shuchang Silvia Liu · 2019 to 2026
$10.9MIdentifying therapeutic options for intrahepatic cholangiocarcinomaR01CA258449 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KO, SUNGJIN · 2021 to 2025
$1.6MNovel computational approaches for pharmacogenomics of complex diseasesR35GM154967 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Yu-Chiao Chiu · 2024 to 2026
$1.2MEnhancing AI-readiness of multi-omics data for cancer pharmacogenomicsR00CA248944 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHIU, YU-CHIAO · 2022 to 2024
$1.1MDeciphering the Molecular Mechanisms Underlying Cholangiocarcinoma DevelopmentR01CA300059 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Sungjin Ko · 2025 to 2026
$1.0MAdvanced computational approaches for single-cell multi-omics integrationR35GM159862 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Shuchang Silvia Liu · 2025 to 2026
$875kHigh-Throughput Computing for Genomics and Bioinformatics ResearchS10OD028483 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LEE, ADRIAN V · 2021 to 2021
$574kNCI NIH HHS P30 CA047904NCI NIH HHS R00 CA248944NCI NIH HHS R01 CA258449NCI NIH HHS R01 CA300059NIDDK NIH HHS P30 DK120531NIGMS NIH HHS R35 GM154967NIGMS NIH HHS R35 GM159862NIH HHS S10 OD028483
6 · The paper itselfAbstract
Background/Aims: Intrahepatic cholangiocarcinoma (iCCA) represents an unmet clinical need due to its increasing incidence, aggressive biology, and limited treatment options. The extremely low-response rates to current systemic regimens and the emergence of adaptive resistance to targeted therapies underscore the urgent need for alternative therapeutic strategies. Given that the lineage-defining transcription factors SOX9 and YAP1 are central regulators of cholangiocyte and iCCA identity, we investigated their functional roles as potential therapeutic vulnerabilities across multiple preclinical models. Methods: Patient tissue-microarray (TMA) analysis, Sleeping-Beauty hydrodynamic tail vein injection-based iCCA models, and Cre-mediated inducible gene deletion systems were used to investigate the roles of Results: Dual deletion of Conclusions: Co-targeting SOX9 and YAP1 offers a promising and safe broad-spectrum preventive/therapeutic approach for iCCA, potentially overcoming resistance to YAP1 inhibition. The adaptive resistance mechanism identified may extend to other malignancies, providing insights for addressing the advanced resistant to YAP1-TEAD-directed therapies.
Indexed as
adaptive resistancebile duct cancerILF2liver cancerTAZ
Identifiers
PMID41676627
PMCPMC12889492
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