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Candidate biomarkers to identify mesothelioma patients at risk of developing venous thromboembolism post-surgery
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  • Published: 16 February 2026

Candidate biomarkers to identify mesothelioma patients at risk of developing venous thromboembolism post-surgery

  • Adnan Shami-shah1,2,4 na1,
  • Shira Roth1,2,4 na1,
  • Shad R. Morton1 na1,
  • Bogdan Budnik1,
  • William G. Richards3,4,
  • Raphael Bueno3,4,
  • Rushdy Ahmad1 &
  • …
  • David R. Walt1,2,4 

Scientific Reports , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Mesothelioma
  • Predictive markers

Abstract

Pleural Mesothelioma (PM) is an aggressive cancer that attacks thousands of people every year. One of the common treatments is surgery to remove the tumor. Unfortunately, around 11% of patients die from blood clots post-surgery. Current predictive factors such as C-reactive protein, D-Dimer, and abnormal platelet count lack specificity. To date, no blood-based protein biomarkers have been identified to reliably predict PM patients at risk of developing Venous Thromboembolism (VTE) post-surgery. In this study, we present a set of host-response plasma protein candidate biomarkers that could predict patients at risk of developing VTE. We employed a quantitative mass spectrometry-based proteomics approach integrated with a multilayered, structured, and systematic evaluation of candidate biomarkers in a cohort of 18 patients, comprising six mesothelioma cases, six mesothelioma controls, and six lung cancer controls. This is the first step towards personalized treatment plans for PM patients undergoing surgery. This study’s findings can potentially guide subsequent, larger-scale investigations, highlighting the value of small-scale exploratory research.

Data availability

All data generated or analyzed during this study are included in this published article (and its Supplementary Information files). The Supporting Information includes a diagram showing the clinical characteristics of all patients, a table with clinical characteristics of all patients, a table with potential biomarkers associated with VTE, results of up-and down-regulated proteins, and Figures S1 and S2.

The datasets analyzed during the current study are available in the MASSIve repository, MSV000100724, MassIVE Dataset Summary.

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Acknowledgements

The authors thank all the researchers involved with Biomarker Discovery Lab (BDL) of the Diagnostic Accelerator (DxA) at the Wyss Institute at Harvard University. Biomarker discovery is possible because of the generosity of patients’ samples, so we thank all the patients whose samples made this study possible. All human samples were collected in accordance with the Brigham and Women’s Hospital (BWH) human subjects’ protection policy and participants were appropriately consented to Dana Farber Cancer Institute protocol 98 − 063. This work was supported by the Wyss Diagnostics Accelerator’s platform budget and Dr. Bueno’s funding source at BWH.

Author information

Author notes
  1.  Adnan Shami-shah, Shira Roth and Shad R. Morton contributed equally to this work.

Authors and Affiliations

  1. Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA

    Adnan Shami-shah, Shira Roth, Shad R. Morton, Bogdan Budnik, Rushdy Ahmad & David R. Walt

  2. Department of Pathology, Brigham and Women’s Hospital, Boston, MA, USA

    Adnan Shami-shah, Shira Roth & David R. Walt

  3. Division of Thoracic and Cardiac Surgery, Brigham and Women’s Hospital, Boston, MA, USA

    William G. Richards & Raphael Bueno

  4. Harvard Medical School, Harvard University, Boston, USA

    Adnan Shami-shah, Shira Roth, William G. Richards, Raphael Bueno & David R. Walt

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  1. Adnan Shami-shah
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Contributions

AS, SR, RB, and RA conceptualized the study. Experiments were performed by AS, SR, SRM, and BB. Data analysis pipeline was developed by AS, SR, RA, and SRM. The analysis code was written by SRM. Samples were provided by WGR and RB. Study supervision and funding acquisition by RA and DRW. AS, SR, SRM, and RA contributed to the manuscript writing with feedback from all authors.

Corresponding authors

Correspondence to Rushdy Ahmad or David R. Walt.

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Shami-shah, A., Roth, S., Morton, S.R. et al. Candidate biomarkers to identify mesothelioma patients at risk of developing venous thromboembolism post-surgery. Sci Rep (2026). https://doi.org/10.1038/s41598-026-39805-9

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  • Received: 23 January 2025

  • Accepted: 06 February 2026

  • Published: 16 February 2026

  • DOI: https://doi.org/10.1038/s41598-026-39805-9

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Keywords

  • Pleural mesothelioma
  • Venous thromboembolism
  • Biomarker discovery
  • Mass spectrometry
  • Proteomics
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Cellular mechanisms of venous thrombosis

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