ABSTRACT
Triple negative breast cancer (TNBC) is a heterogeneous disease entity constituting about 15% of breast cancer cases worldwide. TNBC is associated with poor prognosis and lack of sustained response to conventional chemotherapeutic agents. Tumoral heterogeneity and the presence of several subtypes of TNBC such as Basal like (BL)-1, BL-2, immune-modulatory, luminal androgen receptor, mesenchymal, and mesenchymal/stem like subtype and claudin low subtype, may explain some of the difficulties faced in managing this challenging disease subgroups. Although no approved targeted therapy is available for TNBCs, molecular-profiling efforts have revealed promising molecular targets such as the vascular endothelial growth factor (VEGF), epidermal growth factor receptor (EGFR), polyadenosine ribose polymerase inhibitors (PARPi) and DNA repair pathway, androgen pathway, and NOTCH pathway. TNBC is subject to intense research activities aiming at dissecting potential pathways, identifying potential molecular signatures and biomarkers in order to properly develop new targeted biologic modifiers. Despite this, there is a lack of approved predictive and prognostic biomarkers, and keeping in view the complexity of TNBC biology, research should be targeted towards identifying multi-factorial signatures rather than single markers. This review aims to summarize the current evidence, ongoing research and discuss future strategies for the treatment of patients with TNBC. In addition we have reviewed the recent advances in detecting predictive and prognostic biomarkers and identifying surrogate markers for early identification of potential responders to the new therapies.
Subject(s)
Antineoplastic Agents/pharmacology , Molecular Targeted Therapy , Triple Negative Breast Neoplasms/drug therapy , Triple Negative Breast Neoplasms/metabolism , Antineoplastic Agents/chemistry , DNA Repair/drug effects , ErbB Receptors/metabolism , Hedgehog Proteins/metabolism , Humans , Poly(ADP-ribose) Polymerase Inhibitors/chemistry , Poly(ADP-ribose) Polymerase Inhibitors/pharmacology , Receptors, Androgen/metabolism , Receptors, Notch/metabolism , Signal Transduction/drug effects , Triple Negative Breast Neoplasms/blood supply , Triple Negative Breast Neoplasms/pathologyABSTRACT
PURPOSE: This study aimed to explore the value of IHC4 in predicting pathological response after neoadjuvant chemotherapy in patients with hormonal receptor (HR)-positive breast cancer (BC). MATERIALS AND METHODS: In this retrospective exploratory study, data for 68 HR-positive BC patients who received neoadjuvant chemotherapy were recorded. IHC4 scores were calculated based on estrogen receptors/progesterone receptors, Ki-67 and HER2 status. Logistic and ordinal regression analyses in addition to likelihood ratio test were used to explore associations of IHC4 scores and other clinico-pathological parameters with pathological complete response (pCR) and pathological stage. RESULTS: Taking the 25th percentile as the cut-off, a lower IHC4 score was associated with an increased probability of pCR (low; 52.9% vs. High; 21.6%, OR=4.1, 95% CI= 1.28-13.16, p=0.018) and a lower pathological stage (OR =3.9, 95% CI=1.34-11.33, p=0.012). When the IHC4 score was treated as a continuous variable, a lower score was again associated with an increased probability of pCR (OR=1.010, 95% CI=1.001-1.018, p=0.025) and lower pathological stage (OR=1.009, 95% CI= 1.002-1.017, P=0.008). Lower clinical stage was associated with a better pCR rate that was of borderline significance (P=0.056). When clinical stage and IHC4 score were incorporated together in a logistic model, the likelihood ratio test gave a P-value of 0.004 after removal of the IHC4 score and 0.011 after removal of the stage, indicating a more significant predictive value of the IHC4 score for pCR. CONCLUSIONS: This study suggests that the IHC4 score can predict pathological response to neoadjuvant chemotherapy in HR-positive BC patients. This finding now needs to be validated in a larger cohort of patients.
Subject(s)
Carcinoma, Ductal, Breast/drug therapy , Carcinoma, Ductal, Breast/pathology , Neoplasm Grading/methods , Receptor, ErbB-2/metabolism , Receptors, Estrogen/metabolism , Receptors, Progesterone/metabolism , Adult , Biomarkers, Tumor/analysis , Female , Humans , Ki-67 Antigen/metabolism , Logistic Models , Neoadjuvant Therapy , Neoplasm Recurrence, Local/pathology , Prognosis , Retrospective Studies , Saudi ArabiaABSTRACT
BACKGROUND: Human papillomavirus (HPV) is associated with different malignancies but its role in the pathogenesis of ovarian cancer is controversial. This study investigated the prevalence, genotyping and physical state of HPV in ovarian cancer Saudi patients. METHODS: Hundred formalin fixed paraffin embedded (FFPE) ovarian carcinoma tissues and their normal adjacent tissues (NAT) were included in the study. HPV was detected by nested polymerase chain reaction (PCR) using degenerated HPVL1 consensus primer pairs MY09/MY11 and GP5+/GP6 + to amplify a broad spectrum of HPV genotypes in a single reaction. The HPV positive samples were further genotyped using DNA sequencing. The physical state of the virus was identified using Amplification of Papillomavirus Oncogene Transcripts (APOT) assay in the samples positive for HPV16 and/or HPV18. RESULTS: High percentage of HPV (42%) was observed in ovarian carcinoma compared to 8% in the NAT. The high-risk HPV types 16, 18 and 45 were highly associated with the advanced stages of tumor, while low-risk types 6 and 11 were present in NAT. In malignant tissues, HPV-16 was the most predominant genotype followed by HPV-18 and -45. The percentage of viral integration into the host genome was significantly high (61.1%) compared to 38.9% episomal in HPV positive tumors tissues. In HPV18 genotype the percentage of viral integration was 54.5% compared to 45.5% episomal. CONCLUSION: The high risk HPV genotypes in ovarian cancer may indicate its role in ovarian carcinogenesis. The HPV vaccination is highly recommended to reduce this type of cancer.
