Cancer is considered as a life-threating illness characterized by elevated mortality and morbidity. In recent years, breast cancer have demonstrated a dramatical increase in incidence and mortality. Numerous studies were done proving that the probability of cancer increased with the number of abnormal blood tests. In addition, long non-coding RNAs (LncRNAs) are the highlights in cancer research, where they play an important role in numerous biological processes, where H19 and miR-206, which is an LncRNA, has high diagnostic sensitivity and specificity. And since the mortality rates of cancer among the Iraqi population is increasing, with the lack of studies showing a correlation between the level of LncRNA in the plasma, and the occurrence of breast cancer in Iraq. It is therefore of utmost importance to identify individuals at high risk of developing cancer for both investigators and health care providers which may aid in early detection of the disease for better prognosis. In this study, random collection of blood samples was performed, using standard techniques of blood collection, from 83 cancer patients and 16 healthy controls. qRT-PCR assay was performed for detection and genotyping of H19 and miR-206 gene expression in patients and in healthy control blood samples. Based on the study’s finding and analysis, the hypothesis stating that LncRNA H19 and miR-206 might be released from tumor cells during initiation into the circulation, and its detection might be useful to monitor tumor evolution to prompt accurate clinical treatment decision. Our study showed that the H19 and miR-206 gene is important to determine if the patient has cancer or not. However, it cannot determine the type of cancer, such as breast cancer. In addition, our results showed that we can, to some extent, refer to some blood test results to predict that patient may have cancer. Our data showed that the present of elevated level of basophile and mean corpuscular hemoglobin concentration values may indicate that patient has cancer other than breast cancer. Thus, further studies are needed, with larger sample size, and using additional data or tests to be able to detect variable of blood test implicated in the prediction of breast cancer.
