| Literature DB >> 31788646 |
Shuhei Komatsu1,2, Eigo Otsuji1.
Abstract
Recent developments in diagnostic technology, accumulated clinical effort and established evidence have boosted early detection and drastically improved early and long-term outcomes of gastric cancer. However, gastric cancer continues to be one of the most aggressive and life-threatening malignancies among all cancers and is a global health problem. Between January 2017 and December 2018, various fascinating reports of managements and research were published, including the new 15th Japanese Classification of Gastric Carcinoma reflecting the 8th American Joint Committee on Cancer/Union for International Cancer Control (AJCC/UICC) tumor, node and metastasis (TNM) classification (October 2017) and the new Gastric Cancer Treatment Guidelines version 5 (January 2018). Moreover, pivotal molecular features of gastric cancer were clarified by the worldwide cancer genome project, and various treatment targets and biomarkers such as circulating DNAs and microRNAs were detected. Novel treatment options using programmed cell death protein 1 immune checkpoint inhibitors have been started. In this review, we summarize the recent topics of classification, guidelines, and clinical and basic research in order to bring new insights to gastric cancer treatment.Entities:
Keywords: Gastric Cancer Treatment Guidelines; Japanese Classification of Gastric Carcinoma; PD‐1 immune checkpoint inhibitor; biomarker; gastric cancer
Year: 2019 PMID: 31788646 PMCID: PMC6875932 DOI: 10.1002/ags3.12284
Source DB: PubMed Journal: Ann Gastroenterol Surg ISSN: 2475-0328
Figure 1Stage distribution of the 14th Japanese Gastric Cancer Association (JGCA) and the new 15th JGCA classifications. A, The greatest change in the 15th edition of JGCA staging systems for gastric cancer was the separate inclusion of N3a and N3b. B, In the new 15th JGCA classification, T1‐T3 disease was upstaged with N3b, T4aN3a was downstaged from IIIC to IIIB and T4bN0 and T4aN2 were downstaged from IIIB to IIIA
Clinical staging in the new 15th JGCA and 8th AJCC/UICC TNM classifications
| N0 | N1, N2, N3 | |
|---|---|---|
| T1, T2 | I | IIA |
| T3, T4a | IIB | III |
| T4b | IVA | |
| M1 with any T/N | IVB | |
Abbreviations: AJCC/UICC, American Joint Committee on Cancer/Union for Cancer Control; JGCA, Japanese Gastric Cancer Association; TNM, tumor, node and metastasis.
Therapeutic value of lymphadenectomy in esophagogastric junction adenocarcinoma
| Station no. | First author/Year Yamashita et al 2011, | Mine et al 2013, | Fujitani et al 2013, | Yabusaki et al 2014, | Goto et al 2015, | Yoshikawa et al 2016, | Yamashita et al 2015, |
|---|---|---|---|---|---|---|---|
| 1 | 13. 8 | 18.7 | 16.3 | 11.1 | 14.3 | 16.2 | 7.5 |
| 2 | 7 | 15.3 | 5.8 | 8.3 | 2.1 | 13.6 | 4.3 |
| 3 | 13.7 | 20.7 | 11.6 | 11.1 | 16.8 | 19.8 | 9 |
| 4sa | 1 | 0 | 3.5 | 0 | 0 | 1 | 0.4 |
| 4sb | 0 | 1.2 | 0 | 1.1 | 0.3 | 0 | |
| 4d | NA | 0 | 1.5 | 0 | 1.1 | 0 | |
| 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 6 | 0 | NA | 1.2 | 1.6 | 0 | 0.4 | 0 |
| 7 | 3.8 | 14.8 | 5.9 | 5.6 | 8.8 | 11.7 | 3.7 |
| 8a | 2.2 | 0 | 2.4 | 1.5 | 1.8 | 0.7 | 0.8 |
| 9 | 1.5 | 1.4 | 1.3 | 1.4 | 3.9 | 1.7 | 1.4 |
| 10 | 0.7 | 1.9 | 1.5 | 2.3 | 0 | 1.8 | 0.8 |
| 11p | 2.6 | 3.8 | 8.2 | 1.6 | 2.5 | 4.7 | 1.7 |
| 11d | 2.2 | 0 | 0 | 1.7 | |||
| 12a | NA | 0 | NA | 0 | 0 | 0 | 0 |
| 19 | NA | NA | NA | NA | 0 | 0 | 0.6 |
| 20 | NA | NA | NA | NA | 4.8 | 0 | 0.6 |
| 110 | 1.8 | 6.3 | NA | 2.9 | NA | 6.5 | 2.9 |
| 111 | 0 | NA | 0 | NA | 0.4 | ||
| 112 | 0 | NA | 0 | NA | 1.5 | ||
| 16a2 | 1.4 | 3.2 | NA | 4.8 | NA | 2.4 | 0 |
Abbreviation: NA, not applicable.
Cancer‐related microRNAs and their target genes in gastric cancer
| Overexpression in gastric cancer tissue | Underexpression in gastric cancer tissue | ||||
|---|---|---|---|---|---|
| microRNA | Value | Target gene | microRNA | Value | Target gene |
| miR‐20a | D, M, P | FBXO31 | let‐7 family | D | RAB40C, MYH9, HMGA2, BARX1 |
| miR‐21 | D, M, P | PDCD4, RECK | miR‐9 | GRB2, NF‐κB | |
| miR‐23a | IL6R | miR‐29 | CDC42 | ||
| miR‐25 | D | FBXW7, TOB1 | miR‐34 | BCL2, NOTCH, HMGA2 | |
| miR‐27 | Prohibin | miR‐43c | VEZT | ||
| miR‐103 | DICER1 | miR‐101 | D, M, P | EZH2, COX2, MCL‐1, FOS | |
| miR‐106a | D | RB1 | miR‐125a | ERBB2 | |
| miR‐106b‐25 cluster | D, P | p21, p57, Bim | miR‐126 | CRK, SOX2 | |
| miR‐130b | RUNX3 | miR‐129 | Cdk6, SOX4 | ||
| miR‐146a | IRAK1, TRAF6 | miR‐137 | CDC42 | ||
| miR‐150 | EGR2 | miR‐139 | CXCR4 | ||
| miR‐199a | D, P | MAP3K11 | miR‐141 | FGFR2 | |
| miR‐215 | ALCAM | miR‐148a | CCKBR, P27, PIN | ||
| miR‐221‐222 cluster | D, P | PTEN, P27, p57 | miR‐148b | CCKBR | |
| miR‐223 | D | FBXW7, STMN1 | miR‐152 | CCKBr | |
| miR‐372 | LATS2 | miR‐155 | PKIα, MYD88, SMAD2, FADD, IKK‐ε | ||
| miR‐421 | D | CBX7, RBMXL1 | miR‐181b | D | BCL2 |
| miR‐650 | ING4 | miR‐181c | NOTCH4, KRAS | ||
| miR‐200 | ZEB1, ZEB2 | ||||
| miR‐203 | D, M, P | ERK1/2 | |||
| miR‐204 | M, P | EZRIN | |||
| miR‐212 | MECP2 | ||||
| miR‐218 | D, P | NF‐κB, COX2, ROBO1, ECOP | |||
| miR‐331‐3p | E2F1 | ||||
| miR‐335 | BCL‐W, SP1 | ||||
| miR‐375 | D | JAK2, PDK1, YWHAZ | |||
| miR‐429 | C‐MYC | ||||
| miR‐433 | GRB2 | ||||
| miR‐449 | GMNN, MET, CCNE2, SIRT1 | ||||
| miR‐451 | D | MIF | |||
| miR‐486 | D | OLMF4 | |||
| miR‐497 | BCL2 | ||||
| miR‐512‐5p | Mcl‐1, JUN | ||||
| miR‐622 | ING1 | ||||
Value of liquid biopsy; D, diagnostic value; M, malignant potential value; P, prognostic predicting value.
Reported blood‐based microRNAs reflecting tumor dynamics in gastric cancer.