|
1
|
Ferlay J, Colombet M, Soerjomataram I,
Mathers C, Parkin DM, Piñeros M, Znaor A and Bray F: Estimating the
global cancer incidence and mortality in 2018: GLOBOCAN sources and
methods. Int J Cancer. 144:1941–1953. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
2
|
Ito S, Sano T, Mizusawa J, Takahari D,
Katayama H, Katai H, Kawashima Y, Kinoshita T, Terashima M,
Nashimoto A, et al: A phase II study of preoperative chemotherapy
with docetaxel, cisplatin, and S-1 followed by gastrectomy with D2
plus para-aortic lymph node dissection for gastric cancer with
extensive lymph node metastasis: JCOG1002. Gastric Cancer.
20:322–331. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Sasako M, Sano T, Yamamoto S, Kurokawa Y,
Nashimoto A, Kurita A, Hiratsuka M, Tsujinaka T, Kinoshita T, Arai
K, et al: D2 lymphadenectomy alone or with para-aortic nodal
dissection for gastric cancer. N Engl J Med. 359:453–462. 2008.
View Article : Google Scholar : PubMed/NCBI
|
|
4
|
Kim DH, Oh SJ, Oh CA, Choi MG, Noh JH,
Sohn TS, Bae JM and Kim S: The relationships between perioperative
CEA, CA 19-9, and CA 72-4 and recurrence in gastric cancer patients
after curative radical gastrectomy. J Surg Oncol. 104:585–591.
2011. View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Shimada H, Noie T, Ohashi M, Oba K and
Takahashi Y: Clinical significance of serum tumor markers for
gastric cancer: A systematic review of literature by the Task Force
of the Japanese Gastric Cancer Association. Gastric Cancer.
17:26–33. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Shoda K, Ichikawa D, Fujita Y, Masuda K,
Hiramoto H, Hamada J, Arita T, Konishi H, Komatsu S, Shiozaki A, et
al: Monitoring the HER2 copy number status in circulating tumor DNA
by droplet digital PCR in patients with gastric cancer. Gastric
Cancer. 20:126–135. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Vaysse PM, Heeren RMA, Porta T and Balluff
B: Mass spectrometry imaging for clinical research-latest
developments, applications, and current limitations. Analyst.
142:2690–2712. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Zhou Z, Tu J and Zhu ZJ: Advancing the
large-scale CCS database for metabolomics and lipidomics at the
machine-learning era. Curr Opin Chem Biol. 42:34–41. 2018.
View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Liebal UW, Phan ANT, Sudhakar M, Raman K
and Blank LM: Machine learning applications for mass
spectrometry-based metabolomics. Metabolites. 10:2432020.
View Article : Google Scholar
|
|
10
|
Enjoji M, Kohjima M, Ohtsu K, Matsunaga K,
Murata Y, Nakamuta M, Imamura K, Tanabe H, Iwashita A, Nagahama T
and Yao K: Intracellular mechanisms underlying lipid accumulation
(white opaque substance) in gastric epithelial neoplasms: A pilot
study of expression profiles of lipid-metabolism-associated genes.
J Gastroenterol Hepatol. 31:776–781. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Yao K, Iwashita A, Tanabe H, Nishimata N,
Nagahama T, Maki S, Takaki Y, Hirai F, Hisabe T, Nishimura T and
Matsui T: White opaque substance within superficial elevated
gastric neoplasia as visualized by magnification endoscopy with
narrow-band imaging: A new optical sign for differentiating between
adenoma and carcinoma. Gastrointest Endosc. 68:574–580. 2008.
View Article : Google Scholar : PubMed/NCBI
|
|
12
|
de Carvalho AC, Kowalski LP, Campos AH,
Soares FA, Carvalho AL and Vettore AL: Clinical significance of
molecular alterations in histologically negative surgical margins
of head and neck cancer patients. Oral Oncol. 48:240–248. 2012.
View Article : Google Scholar : PubMed/NCBI
|
|
13
|
Xu J, Wang X, Xu P, Liu S, Teng F, Liu X,
Zhu Q, Hua X, Gong Z and Jia X: Mass spectrometry-based peptidome
profiling of human serous ovarian cancer tissues. Int J Biochem
Cell Biol. 107:53–61. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
14
|
Kerian KS, Jarmusch AK, Pirro V, Koch MO,
Masterson TA, Cheng L and Cooks RG: Differentiation of prostate
cancer from normal tissue in radical prostatectomy specimens by
desorption electrospray ionization and touch spray ionization mass
spectrometry. Analyst. 140:1090–1098. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
15
|
Iwano T, Yoshimura K, Inoue S, Odate T,
Ogata K, Funatsu S, Tanihata H, Kondo T, Ichikawa D and Takeda S:
Breast cancer diagnosis based on lipid profiling by probe
electrospray ionization mass spectrometry. Br J Surg. 107:632–635.
2020. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Ishii H, Saitoh M, Sakamoto K, Sakamoto K,
Saigusa D, Kasai H, Ashizawa K, Miyazawa K, Takeda S, Masuyama K
and Yoshimura K: Lipidome-based rapid diagnosis with machine
learning for detection of TGF-β signalling activated area in head
and neck cancer. Br J Cancer. 122:995–1004. 2020. View Article : Google Scholar : PubMed/NCBI
|
|
17
|
Taguchi R, Nishijima M and Shimizu T:
Basic analytical systems for lipidomics by mass spectrometry in
Japan. Methods Enzymol. 432:185–211. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Guo Y, Ren J, Li X, Liu X, Liu N, Wang Y
and Li Z: Simultaneous quantification of serum multi-phospholipids
as potential biomarkers for differentiating different
pathophysiological states of lung, stomach, intestine, and
pancreas. J Cancer. 8:2191–2204. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
19
|
Lee GB, Lee JC and Moon MH: Plasma lipid
profile comparison of five different cancers by nanoflow ultrahigh
performance liquid chromatography-tandem mass spectrometry. Anal
Chim Acta. 1063:117–126. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
20
|
Yang M, Forbes ME, Bitting RL, O'Neill SS,
Chou PC, Topaloglu U, Miller LD, Hawkins GA, Grant SC, DeYoung BR,
et al: Incorporating blood-based liquid biopsy information into
cancer staging: Time for a TNMB system? Ann Oncol. 29:311–323.
2018. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Vaidyanathan R, Soon RH, Zhang P, Jiang K
and Lim CT: Cancer diagnosis: From tumor to liquid biopsy and
beyond. Lab Chip. 19:11–34. 2018.PubMed/NCBI
|
|
22
|
Ponti G, Manfredini M and Tomasi A:
Non-blood sources of cell-free DNA for cancer molecular profiling
in clinical pathology and oncology. Crit Rev Oncol Hematol.
141:36–42. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
23
|
Kaczor-Urbanowicz KE, Wei F, Rao SL, Kim
J, Shin H, Cheng J, Tu M, Wong DTW and Kim Y: Clinical validity of
saliva and novel technology for cancer detection. Biochim Biophys
Acta Rev Cancer. 1872:49–59. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Union for International Cancer Control, .
TNM classification of malignant tumours. 8th edition. Brierley JD,
Gospodarowicz MK and Wittekind C: John Wiley & Sons, Inc.; New
York: 2017
|
|
25
|
World Medical Association, . World medical
association declaration of Helsinki: Ethical principles for medical
research involving human subjects. JAMA. 310:2191–2194. 2013.
View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Kanda Y: Investigation of the freely
available easy-to-use software ‘EZR’ for medical statistics. Bone
Marrow Transplant. 48:452–458. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
27
|
Johno H, Yoshimura K, Mori Y, Kimura T,
Niimi M, Yamada M, Tanigawa T, Fan J and Takeda S: Detection of
potential new biomarkers of atherosclerosis by probe electrospray
ionization mass spectrometry. Metabolomics. 14:382018. View Article : Google Scholar : PubMed/NCBI
|
|
28
|
Bousquet O and Elisseeff A: Stability and
generalization. J Mach Learn Res. 2:499–526. 2002.
|
|
29
|
Singh R, Sharma S, Singh RK, Mahdi AA,
Singh RK, Lee Gierke C and Cornelissen G: Effect of gender, age,
diet and smoking status on chronomics of circulating plasma lipid
components in healthy Indians. Clin Chim Acta. 459:10–18. 2016.
View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Japanese Gastric Cancer Association, .
Japanese gastric cancer treatment guidelines 2018 (5th edition).
Gastric Cancer. 24:1–21. 2021. View Article : Google Scholar : PubMed/NCBI
|
|
31
|
Kitagawa Y, Uno T, Oyama T, Kato K, Kato
H, Kawakubo H, Kawamura O, Kusano M, Kuwano H, Takeuchi H, et al:
Esophageal cancer practice guidelines 2017 edited by the Japan
esophageal society: Part 2. Esophagus. 16:25–43. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
32
|
Hashiguchi Y, Muro K, Saito Y, Ito Y,
Ajioka Y, Hamaguchi T, Hasegawa K, Hotta K, Ishida H, Ishiguro M,
et al: Japanese Society for Cancer of the Colon and Rectum (JSCCR)
guidelines 2019 for the treatment of colorectal cancer. Int J Clin
Oncol. 25:1–42. 2020. View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Ros-Mazurczyk M, Jelonek K, Marczyk M,
Binczyk F, Pietrowska M, Polanska J, Dziadziuszko R, Jassem J,
Rzyman W and Widlak P: Serum lipid profile discriminates patients
with early lung cancer from healthy controls. Lung Cancer.
112:69–74. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
34
|
Banales JM, Iñarrairaegui M, Arbelaiz A,
Milkiewicz P, Muntané J, Muñoz-Bellvis L, La Casta A, Gonzalez LM,
Arretxe E, Alonso C, et al: Serum metabolites as diagnostic
biomarkers for cholangiocarcinoma, hepatocellular carcinoma, and
primary sclerosing cholangitis. Hepatology. 70:547–562. 2019.
View Article : Google Scholar : PubMed/NCBI
|
|
35
|
Otandault A, Anker P, Al Amir Dache Z,
Guillaumon V, Meddeb R, Pastor B, Pisareva E, Sanchez C, Tanos R,
Tousch G, et al: Recent advances in circulating nucleic acids in
oncology. Ann Oncol. 30:374–384. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
36
|
Kahlert C: Liquid biopsy: Is there an
advantage to analyzing circulating exosomal DNA compared to cfDNA
or are they the same? Cancer Res. 79:2462–2465. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
37
|
Provost P: The clinical significance of
platelet microparticle-associated microRNAs. Clin Chem Lab Med.
55:657–666. 2017. View Article : Google Scholar : PubMed/NCBI
|
