1. In situ expressions of protein 16 (p16CDKN2A) and transforming growth factor beta-1 in patients with cervical intraepithelial neoplasia and cervical cancer
    María E. Viloria et al, 2018, European Journal of Obstetrics & Gynecology and Reproductive Biology CrossRef
  2. Immunohistochemical expression of p16, Ki-67 and p53 in cervical lesions – A systematic review
    Daliana Caldas Silva et al, 2017, Pathology - Research and Practice CrossRef
  3. Role of immunohistochemistry in gynec oncopathology including specific diagnostic scenarios with associated treatment implications
    Bharat Rekhi, 2020, Indian Journal of Pathology and Microbiology CrossRef
  4. Association of p16 (CDKN2A) polymorphisms with the development of HPV16‐related precancerous lesions and cervical cancer in the Greek population
    Dimitris Tsakogiannis et al, 2018, Journal of Medical Virology CrossRef
  5. Introduction of p16INK4a as a surrogate biomarker for HPV in women with invasive cervical cancer in Sudan
    Hina Sarwath et al, 2017, Infectious Agents and Cancer CrossRef
  6. Condyloma Acuminatum of Urinary Bladder in a Male Renal Transplant Recipient – A Diagnostic and Therapeutic Challenge
    Aruna Nambirajan et al, 2017, Clinical Genitourinary Cancer CrossRef
  7. A whole-slide image grading benchmark and tissue classification for cervical cancer precursor lesions with inter-observer variability
    Abdulkadir Albayrak et al, 2021, Medical & Biological Engineering & Computing CrossRef
  8. Role of Dual-Staining p16/Ki-67 in the Management of Patients under 30 Years with ASC-US/L-SIL
    Cristina Secosan et al, 2022, Diagnostics CrossRef
  9. Expression of Ki-67 and P16 are related with HPV in squamous cell carcinoma of the external auditory canal
    Wei Pan et al, 2022, Journal of Otolaryngology - Head & Neck Surgery CrossRef
  10. Combining HPV DNA load with p16/Ki-67 staining to detect cervical precancerous lesions and predict the progression of CIN1–2 lesions
    Yuejie Li et al, 2019, Virology Journal CrossRef
  11. Integrative meta‑analysis of gene expression profiles identifies FEN1 and ENDOU as potential diagnostic biomarkers for cervical squamous cell carcinoma
    Vladimir Basic et al, 2021, Oncology Letters CrossRef