Qin Yao

Membranous and nuclear staining of CLDN18 in HPV‐independent and HPV‐associated endocervical adenocarcinomas

AbstractObjectivesA classification system for endocervical adenocarcinoma (ECA) based on high‐risk human papillomavirus (HPV) status has been established; however, the immunohistochemical markers distinguishing HPV‐independent and HPV‐associated ECAs have not been fully described. Here, we aimed to characterize ECA immunopathological features.MethodsWe evaluated the immunohistochemical profile of CLDN18, CDX2, PAX8, p16, p53, and CEA in 60 ECAs comprising 10 HPV‐independent ECAs and 50 HPV‐associated ECAs. Both the membranous and nuclear expression levels of CLDN18 were analyzed.ResultsMembranous CLDN18 (CLDN18 [M]) was found to be expressed in the mucinous epithelium of all HPV‐independent ECAs, including eight gastric‐type ECAs (G‐ECAs), one endometrioid ECA, and one clear cell ECA, but no nuclear CLDN18 (CLDN18 [N]) expression was detected in HPV‐independent ECAs. Among HPV‐associated ECAs, CLDN18 (M) expression levels in intestinal‐type (I‐ECAs) and usual‐type ECAs (U‐ECAs) were significantly different from those in invasive stratified mucin‐producing (iSMILE) carcinomas (p = 0.036). Positive CLDN18 (M) staining was present in 55.6% (5/9) of intestinal‐type and 39.4% (13/33) of usual‐type ECAs and was not present in iSMILE ECAs. Silva pattern C cancers expressed higher levels of CLDN18 (M) than Silva pattern A and B cancers (p = 0.004), whereas the CLDN18 (N) expression levels in cancers showing Silva pattern A were significantly higher than those in cancers exhibiting Silva patterns B and C (p < 0.001).ConclusionMembranous CLDN18 is expressed in ECAs and is particularly frequently expressed in HPV‐independent ECAs, and membranous CLDN18 expression has potential as a therapeutic target. Nuclear staining of CLDN18 is a new immunohistochemical marker for diagnosing Silva pattern A HPV‐associated ECAs and is associated with a good prognosis. Further studies should investigate the therapeutic and prognostic significance of membranous and nuclear CLDN18 expression and develop a related test that can be implemented in the clinical evaluation of ECAs.

Good performance of p16/Ki‐67 dual‐stain cytology for detection and post‐treatment surveillance of high‐grade CIN/VAIN in a prospective, cross‐sectional study

AbstractBackgroundThe limited sensitivity of Papanicolaou (Pap) cytology and the low specificity of HPV testing in detecting cervical or vaginal lesions means that either precancers are missed or women without lesions are overtreated. To improve performance outcomes, p16/Ki‐67 dual‐stain cytology has been introduced as a useful biomarker.MethodsA prospective, cross‐sectional study was performed and included 599 patients. Clinical performance estimates of Pap cytology, HPV DNA assay, and p16/Ki‐67 dual‐stain cytology for the detection of CIN2+/VAIN2+ were determined and compared.ResultsThe sensitivity and specificity of p16/Ki‐67 dual‐stain cytology in detecting histology proven CIN2+/VAIN2+ was 91.6% and 95.0%, respectively, while that of Pap cytology was 42.1% and 95.2%, respectively, and that of HPV DNA testing was 100% and 41.6%, respectively. Among the three tests, the AUC of p16/Ki‐67 immunocytochemistry was the largest, both for detecting cervical lesions and vaginal lesions, at 0.932 and 0.966, respectively. Among women who were HPV 16/18 positive or 12‐other hrHPV positive and Pap positive (≥ASCUS), dual staining reduced the number of unnecessary colposcopy referrals from 274 to 181. Among the women who were 12‐other hrHPV positive and Pap negative, dual staining could prevent underdiagnosis in six patients with CIN2+/VAIN2+ when used as a triage marker. Dual staining also identified four women with high‐grade lesions detected by diagnostic conization but with negative colposcopy‐guided biopsy results.Conclusionp16/Ki‐67 dual staining may be a promising tool for predicting high‐grade cervical and vaginal lesions.

PD‐L1, PARP1, and MMRs as potential therapeutic biomarkers for neuroendocrine cervical cancer

AbstractObjectiveNeuroendocrine cervical cancer (NECC) is a rare cervical cancer with high aggressivity that causes poor prognosis even in the early stage. Given other neuroendocrine carcinomas and other types of cervical cancer have been proved to have expression of programmed cell death protein 1 ligand 1(PD‐L1) and poly ADP‐ribose polymerase‐1(PARP1), we would measure and analyze these proteins in this invasive cancer. The purpose of this study is to investigate the application value of PD‐1/PD‐L1 and PARP1 inhibitors in NECC.MethodsThe NECC cases in our center with formalin‐fixed paraffin‐embedded tissue blocks were collected, and immunohistochemical (IHC) staining of PD‐L1, PARP1, Mismatch repair proteins (MMRs), and P53 was performed. Chi‐square test was used to analyze associations between various protein expressions. We analyzed the efficacy of immunotherapy in a recent patient with secondary recurrence after two courses of chemotherapy.ResultsAfter rigorous screening, 20 cases were finally included. Three cases did not undergo surgical treatment because of their advanced stage. Twelve (60%) developed distant metastases or relapsed within five years, and most of them within two years. The positive rate of PD‐L1 and PARP1 were 70% and 75% respectively. Among all the cases, microsatellite instability (MSI) was seen in six cases (30%) and abnormal p53 expression was in 15 patients (75%). PD‐L1 was associated with PARP1 expression in the MSI subgroup. The patient treated with chemotherapy + VEGF inhibitor (VEGFi) + programmed cell death protein 1(PD‐1) inhibitor had an excellent improvement in clinical symptoms, tumor markers, and mass size.ConclusionThe IHC results of PD‐L1, PARP1, and MMRs suggested that NECC was the target of immunotargeted therapy. Our case confirmed that immune checkpoint therapy was effective in patients with PD‐L1 positive and MMRs loss. Considering the clinical practicability, more cases should be collected, and effective biomarkers still need to be further searched.

Comprehensive analysis of novel prognosis-related proteomic signature effectively improve risk stratification and precision treatment for patients with cervical cancer

Cervical cancer (CC) is one of the most common types of malignant female cancer, and its incidence and mortality are not optimistic. Protein panels can be a powerful prognostic factor for many types of cancer. The purpose of our study was to investigate a proteomic panel to predict the survival of patients with common CC. The protein expression and clinicopathological data of CC were downloaded from The Cancer Proteome Atlas and The Cancer Genome Atlas database, respectively. We selected the prognosis-related proteins (PRPs) by univariate Cox regression analysis and found that the results of functional enrichment analysis were mainly related to apoptosis. We used Kaplan-Meier analysis and multivariable Cox regression analysis further to screen PRPs to establish a prognostic model, including BCL2, SMAD3, and 4EBP1-pT70. The signature was verified to be independent predictors of OS by Cox regression analysis and the area under curves. Nomogram and subgroup classification were established based on the signature to verify its clinical application. Furthermore, we looked for the co-expressed proteins of three-protein panel as potential prognostic proteins. A proteomic signature independently predicted OS of CC patients, and the predictive ability was better than the clinicopathological characteristics. This signature can help improve prediction for clinical outcome and provides new targets for CC treatment.