Open AccessLet ‐ 7 as biomarker, prognostic indicator, and therapy for precision medicine in cancer
Author(s) -
Chirshev Evgeny,
Oberg Kerby C.,
Ioffe Yevgeniya J.,
Unternaehrer Juli J.
Publication year - 2019
Publication title -
clinical and translational medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.125
H-Index - 1
ISSN - 2001-1326
DOI - 10.1186/s40169-019-0240-y
Subject(s) - carcinogenesis , microrna , oncogene , radioresistance , cancer , biomarker , suppressor , cancer research , medicine , metastasis , function (biology) , radiation therapy , cell cycle , oncology , biology , gene , genetics
Abnormal regulation and expression of microRNAs (miRNAs) has been documented in various diseases including cancer. The miRNA let ‐ 7 (MIRLET7) family controls developmental timing and differentiation. Let ‐ 7 loss contributes to carcinogenesis via an increase in its target oncogenes and stemness factors. Let ‐ 7 targets include genes regulating the cell cycle, cell signaling, and maintenance of differentiation. It is categorized as a tumor suppressor because it reduces cancer aggressiveness, chemoresistance, and radioresistance. However, in rare situations let ‐ 7 acts as an oncogene, increasing cancer migration, invasion, chemoresistance, and expression of genes associated with progression and metastasis. Here, we review let ‐ 7 function as tumor suppressor and oncogene, considering let ‐ 7 as a potential diagnostic and prognostic marker, and a therapeutic target for cancer treatment. We explain the complex regulation and function of different let ‐ 7 family members, pointing to abnormal processes involved in carcinogenesis. Let ‐ 7 is a promising option to complement conventional cancer therapy, but requires a tumor specific delivery method to avoid toxicity. While let ‐ 7 therapy is not yet established, we make the case that assessing its tumor presence is crucial when choosing therapy. Clinical data demonstrate that let ‐ 7 can be used as a biomarker for rational precision medicine decisions, resulting in improved patient survival.