Deyali Chatterjee

Dr. Deyali Chatterjee

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 March 2021 in Journal of Clinical Oncology
Verified
Journal Article
Closed access
MWMartin R. Weiser
Martin R. Weiser
MHMeier Hsu
Meier Hsu
PBPhilip S. Bauer
Philip S. Bauer
WCWilliam C. Chapman
William C. Chapman
IGIván A. González
Iván A. González
MGMithat Gonen
Mithat Gonen
PURPOSE: Clinical calculators and nomograms have been endorsed by the American Joint Committee on Cancer (AJCC), as they provide the most individualized and accurate estimate of patient outcome. Using molecular and clinicopathologic variables, a third-generation clinical calculator was built to predict recurrence following resection of stage I-III colon cancer. METHODS: Prospectively collected data from 1,095 patients who underwent colectomy between 2007 and 2014 at Memorial Sloan Kettering Cancer Center were used to develop a clinical calculator. Discrimination was measured with concordance index, and variability in individual predictions was assessed with calibration curves. The clinical calculator was externally validated with a patient cohort from Washington University's Siteman Cancer Center in St Louis. RESULTS: The clinical calculator incorporated six variables: microsatellite genomic phenotype; AJCC T category; number of tumor-involved lymph nodes; presence of high-risk pathologic features such as venous, lymphatic, or perineural invasion; presence of tumor-infiltrating lymphocytes; and use of adjuvant chemotherapy. The concordance index was 0.792 (95% CI, 0.749 to 0.837) for the clinical calculator, compared with 0.708 (95% CI, 0.671 to 0.745) and 0.757 (0.715 to 0.799) for the staging schemes of the AJCC manual's 5th and 8th editions, respectively. External validation confirmed robust performance, with a concordance index of 0.738 (95% CI, 0.703 to 0.811) and calibration plots of predicted probability and observed events approaching a 45° diagonal. CONCLUSION: This third-generation clinical calculator for predicting cancer recurrence following curative colectomy successfully incorporates microsatellite genomic phenotype and the presence of tumor-infiltrating lymphocytes, resulting in improved discrimination and predictive accuracy. This exemplifies an evolution of a clinical calculator to maintain relevance by incorporating emerging variables as they become validated and accepted in the oncologic community.

11 May 2019 in Histopathology
Verified
Journal Article
Closed access
PDF file
IGIván González
Iván González
HLHsiang‐Chih Lu
Hsiang‐Chih Lu
JSJared Sninsky
Jared Sninsky
CYChen Yang
Chen Yang
KBKumar Bishnupuri
Kumar Bishnupuri
DCDeyali Chatterjee
Deyali Chatterjee

1 May 2024 in JCO Precision Oncology
Verified
Journal Article
Open access
RWRebecca Waters
Rebecca Waters
Matheus Sewastjanow-SilvaMatheus Sewastjanow-Silva
Matheus Sewastjanow-Silva
KYKohei Yamashita
Kohei Yamashita
Ahmed AbdelhakeemAhmed Abdelhakeem
Ahmed Abdelhakeem
KIKenneth K. Iwata
Kenneth K. Iwata
Jaffer AjaniJaffer Ajani
Jaffer Ajani
PURPOSE: Claudin 18 isoform 2 (CLDN18.2) is an emerging biomarker and therapeutic target in gastric and gastroesophageal junction (G/GEJ) adenocarcinoma. This study aimed to obtain deeper understanding of CLDN18.2 positivity patterns, prognostic implications, and associations with various demographic, clinical, and molecular characteristics in G/GEJ adenocarcinoma. METHODS: Archived tumor tissue samples from 304 patients with G/GEJ adenocarcinoma in the United States were assessed for CLDN18.2 positivity by immunohistochemistry. CLDN18.2 positivity was defined as ≥50% or ≥75% of tumor cells with CLDN18 staining intensity ≥2+. CLDN18.2 positivity patterns were analyzed for association with prognosis and clinicopathologic/demographic characteristics. Where possible, CLDN18.2 positivity was analyzed for matched tissue samples to assess concordance between primary and metastatic tumors and concordance before and after chemotherapy. RESULTS: The overall prevalence of CLDN18.2-positive tumors (with ≥75% cutoff) was 44.4% (n = 135 of 304). CLDN18.2-positive tumors had a prevalence of 51.4% (n = 91 of 177) in gastric and 34.6% (n = 44 of 127) in GEJ adenocarcinoma. With a ≥50% cutoff, the prevalence of CLDN18.2-positive tumors was 64.4% (n = 114 of 177) in gastric adenocarcinoma and 44.9% (n = 57 of 127) in GEJ adenocarcinoma. There was no association between overall survival and CLDN18.2 positivity using either threshold. Statistically significant associations were noted between CLDN18.2 positivity and sex, histologic type of G/GEJ adenocarcinoma, and adenocarcinoma subtype (≥75% cutoff), and metastasis site and tumor grade (≥50% cutoff). The overall concordance of CLDN18.2 positivity (≥75% cutoff) was 73% (27 of 37) for matched primary versus metastatic tumor samples and 74% (29 of 39) for matched samples before and after chemotherapy. CONCLUSION: This study demonstrated that CLDN18.2 positivity did not correlate with survival in G/GEJ adenocarcinoma, consistent with published data. On the basis of matched sample analysis, CLDN18.2 appears to demonstrate >70% concordance as a biomarker. Observed correlations with certain patient/tumor characteristics warrant further study.


20 July 2021 in Archives of Pathology & Laboratory Medicine
Verified
Journal Article
Open access
PDF file
RRRehan Rais
Rehan Rais
NTNikolaos A. Trikalinos
Nikolaos A. Trikalinos
JLJingxia Liu
Jingxia Liu
DCDeyali Chatterjee
Deyali Chatterjee
Hypergastrinemia states such as achlorhydria from gastric mucosal atrophy or a gastrin-producing tumor in humans have been associated with the development of enterochromaffin-like (ECL) cell hyperplasia and gastric neuroendocrine tumors (GNETs). Whether drugs that can elevate serum gastrin levels, such as proton pump inhibitors (PPIs), can produce the same tissue effect is not known and there is no concrete evidence linking the use of PPIs to GNETs outside animal models and case reports. To explore the clinicopathologic association for GNETs of presumed ECL cell origin that cannot be reliably placed into any of the 3 established categories currently recognized by the World Health Organization. This is a retrospective clinicopathologic study of GNETs in the body/fundus of a period of 15 years (2005–2019). Of a total of 87 cases, 57 (65.5%) were associated with atrophic gastritis, 2 (2.3%) were associated with Zollinger-Ellison syndrome, and 28 (32.2%) were unclassified. Of the latter, 11 were consistent with true sporadic/type 3 GNETs, while 17 had background mucosal changes of parietal cell and ECL cell hyperplasia but without underlying detectable gastrinoma, and 88.2% (15 of 17) of patients from this group had documented long-term PPI use. This subtype of GNETs was more commonly multifocal, and of higher grade (P = .03) than “true” sporadic GNETs. A subset of GNETs arises in the background of gastric mucosal changes suggestive of hypergastrinemia, but without underlying gastrinoma, and could be linked to long-term PPI use.

23 March 2021 in Radiology
Verified
Journal Article
Closed access
XLXiandong Leng
Xiandong Leng
KUK. M. Shihab Uddin
K. M. Shihab Uddin
WCWilliam Chapman
William Chapman
HLHongbo Luo
Hongbo Luo
SKSitai Kou
Sitai Kou
QZQuing Zhu Zhu
Quing Zhu Zhu
Coregistered endorectal photoacoustic microscopy and US imaging quantified by a neural network demonstrated excellent differentiation between rectal tumor beds with residual cancers and those witho... Background Conventional radiologic modalities perform poorly in the radiated rectum and are often unable to differentiate residual cancer from treatment scarring. Purpose To report the development ...