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148 citation(s) found for "Xu, Zhaohui".

Phase II trial of trifluridine/tipiracil and irinotecan for the treatment of advanced refractory biliary tract cancer.
Xie, Hao , Ahn, Daniel H. , Pitot, Henry C., Huebner, Lucas J. , Wessling, Jaclynn, Durgin, Lori, Liu, Minetta C. , Hogenson, Tara L. , Phillips, William J. , Fernández-Zapico, Martín E. , Borad, Mitesh J. , Bekaii‐Saab, Tanios , Tran, Nguyen H. , Jin, Zhaohui , Shi, Qian , Alberts, Steven R. , Mahipal, Amit

Journal of Clinical Oncology | February 4, 2020 | Volume: 38 | Issue: 4_suppl | Pages: TPS594-TPS594

10.1200/jco.2020.38.4_suppl.tps594 Get It

TPS594 Background: Effective treatment options are very limited for patients with advanced refractory biliary tract cancer (BTC). Fluoropyrimidine-based chemotherapy regimen such as 5-fluorouracil and irinotecan are frequently utilized for these patients after first-line therapy despite lack of FDA approval. Trifluridine/tipiracil (FTD/TPI) is a novel oral nucleoside with antitumor activity in both fluoropyrimidine sensitive and resistant tumors due to its unique mechanisms of action. Given early toxicity and efficacy data from our previous study on single-agent trifluridine/tipiracil (FTD/TPI) in advanced BTC, the clinical evaluation of its combination with irinotecan represents a rational approach for the treatment of advanced refractory BTC. Methods: This is a single-arm phase II trial with a two-stage design to assess the efficacy of trifluridine/tipiracil (FTD/TPI) and irinotecan in advanced refractory BTC. Key eligibility criteria include histologically confirmed advanced, unresectable BTC who have progressed on at least one line of systemic therapy and have measurable disease per RECIST v1.1. Target accrual is 25. Treatment includes trifluridine/tipiracil (FTD/TPI) 25 mg/m2 on days 1-5 and irinotecan 180 mg/m2 on day 1 in 14-day cycles. Patients will be evaluated for response every 4 cycles and in the absence of disease progression, therapy may be given up to 2 years. The primary end point is the progression-free survival rate at 16 weeks. Secondary endpoints include overall response rate, disease control rate, progression-free survival, overall survival, and incidence of adverse events. Correlative biomarker studies include evaluations of circulating tumor DNA and circulating tumor cells at baseline, after 4 cycles and at progression; and development of patient-derived tumor organoids from pre-treatment biopsies for parallel treatments. This study was approved and funded in part by the National Comprehensive Cancer Network (NCCN) Oncology Research Program from general research support provided by Taiho Oncology, Inc. Clinical trial information: NCT 04072445.
Multimodality management of brain metastasis from colorectal cancer.
Breen, William G. , Jin, Rui , Brown, Paul D. , Jin, Zhaohui , Hubbard, Joleen M.

Journal of Clinical Oncology | February 4, 2020 | Volume: 38 | Issue: 4_suppl | Pages: 204-204

10.1200/jco.2020.38.4_suppl.204 Get It

204 Background: More than 50% of colorectal cancer (CRC) patients will develop metastatic disease. Brain metastasis (BM) from colorectal cancer is uncommon (0.6-1.36%). This study aims to investigate the patient characteristics, treatment modalities and prognostic factors in this rare population. Methods: 104 patients with brain metastasis disease from CRC were identified from over 30,000 colorectal cancer patients at the Mayo Clinic Rochester between 1/1994 and 6/2019. A retrospective review was conducted by using data from electronic medical records (EMR). Statistical analysis utilized the Kaplan-Meier method, Log-rank test, and Cox proportional hazards models. Results: Among the 104 patients, 62 were male (59.6%) and 42 were female (40.4%). Median age at CRC diagnosis was 58.4 and at BM diagnosis was 61. Thirty-three patients had right-sided colon cancers, 27 patients had left-sided colon cancers and 39 patients had rectal cancer. Median time from CRC diagnosis to BM was 30.7 months. The majority of patients (58.7%) presented with a solitary brain lesion. Eighty-six patients (82.7%) had extracranial metastatic disease at BM diagnosis. Median survival was 7.0 months (95% CI 2.6-16.9) from BM diagnosis. Age <70, solitary BM, surgery, radiation, and chemotherapy were associated with statistically significant improved survival on univariate and multivariate analysis. Multi-modality treatment including surgical brain lesion resection, postoperative stereotactic radiation (SRS) with/without whole brain radiation (WBRT), and chemotherapy significantly improved median overall survival (Table). Conclusions: Although BM from CRC carries poor prognosis, multi-modality treatment (surgery, radiation and systemic chemotherapy) for patients with limited BM improves clinical outcome. [Table: see text]
Prognostic and predictive impact of primary tumor sidedness in first-line trials for advanced colorectal cancer: An analysis of 7,828 patients in the ARCAD database.
Yin, Jun , Liu, Heshan , Pederson, Levi , Tebbut, Niall, Seymour, Matt, Bokemeyer, Carsten , Heinemann, Volker , Gramont, Aimery de , Lenz, Heinz‐Josef , Seymour, Michel , Seymour, Matthew T , Cohen, Romain , Jin, Zhaohui , Adams, Richard , Maughan, Tim , Venook, Alan P. , Cutsem, Eric Van , Cremolini, Chiara , Díaz‐Rubio, Eduardo , Wasan, Harpreet , Shi, Qian

Journal of Clinical Oncology | February 4, 2020 | Volume: 38 | Issue: 4_suppl | Pages: 188-188

10.1200/jco.2020.38.4_suppl.188 Get It

188 Background: Unplanned subgroup analyses from several studies have suggested primary tumor sidedness (PTS) as a potential prognostic and predictive parameter in metastatic colorectal cancer (mCRC). We aimed to investigate the prognostic and predictive impact of PTS on outcomes. Methods: PTS data of 7,828 mCRC patients (pts) from 10 first-line randomized trials in the ARCAD database were pooled. PTS was defined as right-sided (RS) or left-sided (LS) if tumor arose from the cecum to the hepatic flexure or from the splenic flexure to the rectum, respectively; transverse colon cancers were not included. Overall survival (OS) and progression-free survival (PFS) were assessed using Kaplan-Meier and Cox models adjusting for age, sex, performance status (PS), prior radiation/chemo, and stratified by treatment arm. Predictive value was tested by interaction term between PTS and treatment (anti-EGFR plus chemotherapy vs. chemotherapy alone). Results: Compared to RS pts (2407, 31%), LS pts (5421, 69%) had better OS (median: 21.6 v 16.8 mos; HRadj: 0.73, 95% CI 0.69-0.78, P < .001) and PFS (median 8.4 v 7.2 mos; HRadj: 0.81, 95% CI 0.76-0.86, P < .001). Results were consistent among subgroups defined by age, sex, PS, metastatic sites and chemo backbone (irinotecan- and oxaliplatin-based). Interaction between PTS and KRAS mutation was significant (Pinteraction< .001): LS is associated with better prognosis only among KRAS wild-type (wt) (HRadj: OS 0.62, 95% CI, 0.55-0.70; PFS 0.71, 95% CI 0.63-0.80), but not among KRAS mutated pts. Among KRAS wt pts, survival benefit from anti-EGFR was observed for LS, but not for RS (table). Conclusions: The prognostic value of PTS is restricted to the KRAS wt population. PTS is predictive of anti-EGFR efficacy, with a significant improvement of survival for LS mCRC pts. These results suggest treatment stratification in mCRC studies by both PTS and KRAS status. [Table: see text]
Neoadjuvant chemotherapy followed by liver resection for patients with metastatic colorectal cancer.
Jin, Rui , Nagorney, David M. , Jin, Zhaohui , Cleary, Sean P. , Smoot, Rory L. , McWilliams, Robert R. , Mahipal, Amit

Journal of Clinical Oncology | February 4, 2020 | Volume: 38 | Issue: 4_suppl | Pages: 147-147

10.1200/jco.2020.38.4_suppl.147 Get It

147 Background: Colorectal cancer is one of the leading causes of cancer related deaths with liver being most common site of CRC metastasis. More than 50% of the CRC patients will develop metastatic liver lesion that eventually leads to death in about 70% of them. In this retrospective review we reviewed the outcome of pts who received neoadjuvant chemotherapy followed by resection of liver lesion for metastatic colorectal cancer. Methods: 304 pts who had preoperative chemotherapy were identified from 1045 metastatic colorectal cancer patients who had liver metastasectomy at Mayo Clinic between 1997 and 2018. A retrospective review was conducted by using data from electronic medical records. Statistical analyses utilized Kaplan-Meier method, Log-rank test, and Cox proportional hazards models. Results: There were 113 (37%) female and 191 (63%) male pts. Median age at primary disease diagnosis was 56.5 yrs. Two hundred forty-nine pts presented with stage IV metastatic colorectal cancer. Primary tumor locations were: 53 right-sided, 117 left-sided and 133 rectum. 152 (50%) pts had extrahepatic metastases. Two pts were found to be MSI-H, 113 MSS, 189 unknown. BRAF mutation was found in 6 patients. RAS mutation was present in 84 patients, with 124 unknown. Pts received chemotherapy for median of 2.82 months. Single agent fluoropyrimidine was administered in 38 (12%) pts and rest receiving chemotherapy doublet or triplet with fluropyrimidine plus oxaliplatin being most common regimen. The median overall survival from primary diagnosis for the entire group was 74.5 months. Median overall survival from liver metastasectomy was 60.0 months. In univariate analysis, metachronous disease, age < 60 yrs, and an absence of extrahepatic lesions led to statistically significant improvement of overall survival from primary diagnosis. Metachronous and extrahepatic lesions remained statistically significant in multivariate analysis. Conclusions: Neoadjuvant chemotherapy followed by liver metastasectomy is beneficial for highly-selected metastatic colorectal cancer pts. Compared to a historical control of 30-36 months, our patient population had a median overall survival of about 5 years from resection.
A meta-analysis of genome-wide association studies of multiple myeloma among men and women of African ancestry
Du, Zhaohui , Weinhold, Niels , Song, Gregory, Rand, Kristin A. , Hwang, Amie E. , Sheng, Xin , Hom, Victor, Pawlish, Karen , Peters, Edward , Mohrbacher, Ann, Stram, Alexander , Berndt, Sonja I. , Blot, William J. , Stevens, Victoria L. , Goodman, Phyllis J. , Diver, W. Ryan , Hennis, Anselm , Nemesure, Barbara , Klein, Eric A. , Rybicki, Benjamin A. , Stanford, Janet L. , Witte, John S. , Signorello, Lisa B., John, Esther M. , Stroup, Antoinette M. , Stephens, Owen , Zangari, Maurizio , Hu, Jennifer J. , Nyante, Sarah J. , Carpten, John D. , Mehta, Jayesh, Wolf, Jeffrey L. , Martin, Thomas G. , Tomasson, Michael H. , Terebelo, Howard R. , Janakiraman, Nalini, Kolonel, Laurence N. , Auclair, Daniel , Chiu, Brian C.‐H. , Ziv, Elad , Vij, Ravi , Bernal‐Mizrachi, Leon , Morgan, Gareth J. , Zonder, Jeffrey A. , Huff, Carol Ann , Orlowski, Robert Z. , Conti, David V. , Haiman, Christopher A. , Orlowski, Robert Z. , John, Esther M , Klein, Eric A , Nyante, Sarah , Morgan, Gareth J , Ziv, Elad , Conti, David V , Berg, David Van Den , Ailawadhi, Sikander , Nooka, Ajay K. , Singhal, Seema , Bock, Cathryn Hufford , Stram, Alex , Casey, Graham , Kittles, Rick A. , Bernstein, Leslie , Rhee, Frits van , Olshan, Andrew F. , Zheng, Wei , Ziegler, Regina G. , Ingles, Sue A. , Press, Michael F. , Chanock, Stephen Jacob , Colditz, Graham A. , Fiala, Mark A. , Anderson, Kenneth C. , Marchand, Loı̈c Le , Stram, Daniel O. , Lonial, Sagar , Cozen, Wendy

Blood Advances | January 14, 2020 | Volume: 4 | Issue: 1 | Pages: 181-190

10.1182/bloodadvances.2019000491 | PMID 31935283 Get It

Abstract Persons of African ancestry (AA) have a twofold higher risk for multiple myeloma (MM) compared with persons of European ancestry (EA). Genome-wide association studies (GWASs) support a genetic contribution to MM etiology in individuals of EA. Little is known about genetic risk factors for MM in individuals of AA. We performed a meta-analysis of 2 GWASs of MM in 1813 cases and 8871 controls and conducted an admixture mapping scan to identify risk alleles. We fine-mapped the 23 known susceptibility loci to find markers that could better capture MM risk in individuals of AA and constructed a polygenic risk score (PRS) to assess the aggregated effect of known MM risk alleles. In GWAS meta-analysis, we identified 2 suggestive novel loci located at 9p24.3 and 9p13.1 at P &lt; 1 × 10−6; however, no genome-wide significant association was noted. In admixture mapping, we observed a genome-wide significant inverse association between local AA at 2p24.1-23.1 and MM risk in AA individuals. Of the 23 known EA risk variants, 20 showed directional consistency, and 9 replicated at P &lt; .05 in AA individuals. In 8 regions, we identified markers that better capture MM risk in persons with AA. AA individuals with a PRS in the top 10% had a 1.82-fold (95% confidence interval, 1.56-2.11) increased MM risk compared with those with average risk (25%-75%). The strongest functional association was between the risk allele for variant rs56219066 at 5q15 and lower ELL2 expression (P = 5.1 × 10−12). Our study shows that common genetic variation contributes to MM risk in individuals with AA.
Comprehensive Investigation of White Blood Cell and Gene Expression Profiles As Risk Factors for Multiple Myeloma in African Americans
Du, Zhaohui , Weinhold, Niels , Song, Gregory, Rand, Kristin Alyse, Hwang, Amie E. , Sheng, Xin , Hom, Victor, Peters, Edward , Mohrbacher, Ann, Stram, Alexander , Berndt, Sonja I. , Blot, William J. , John, Esther M. , Stroup, Antoinette M. , Zangari, Maurizio , Carpten, John D. , Mehta, Jayesh, Colditz, Graham A. , Wolf, Jeffrey, Martin, Thomas G. , Terebelo, Howard R. , Janakiraman, Nalini, Kolonel, Laurence, Auclair, Daniel , Vij, Ravi , Bernal‐Mizrachi, Leon , Zonder, Jeffrey A. , Huff, Carol Ann , Conti, David V. , Haiman, Christopher A. , Witte, John S. , John, Esther M , Colditz, Graham A , Conti, David V , Kachuri, Linda , Rand, Kristin A. , Berg, David Van Den , Ailawadhi, Sikander , Nooka, Ajay K. , Singhal, Seema , Bock, Cathryn Hufford , Stram, Alex , Bernstein, Leslie , Rhee, Frits van , Olshan, Andrew F. , Zheng, Wei , Ingles, Sue A. , Press, Michael F. , Chanock, Stephen Jacob , Wolf, Jeffrey L. , Fiala, Mark A. , Anderson, Kenneth C. , Marchand, Loı̈c Le , Chiu, Brian C.‐H. , Stram, Daniel O. , Morgan, Gareth J. , Lonial, Sagar , Orlowski, Robert Z. , Ziv, Elad , Cozen, Wendy

Blood | November 14, 2019 | Volume: 134 | Issue: Supplement_1 | Pages: 4379-4379

10.1182/blood-2019-129298 Get It

Multiple myeloma (MM) is a neoplasm thought to arise from a damaged germinal center B-cell that progresses to a plasma cell clone arising in bone marrow. MM comprises 20% of all hematologic cancer deaths. Persons of African ancestry (AA) have a 1.5 to 2-fold higher risk compared to individuals of European ancestry (EA). Genetically driven differences in hematopoiesis may lead to variation in the levels white blood cell (WBC) subsets which could, in turn, be associated with MM etiology. There are differences in genetic determinants of WBC traits between EA and AA populations, with possible implications for the racial disparity in risk. We tested the above hypothesis using Mendelian randomization (MR), an approach that leverages genetic determinants of specific traits (i.e. WBC counts) to estimate their effects on the risk of an outcome; and a transcriptome-wide association study (TWAS), which utilizes genetic predictors of gene expression to identify susceptibility genes. These analytic approaches were applied to data from the African American Multiple Myeloma Study (AAMMS) consisting of 1813 cases and 8871 AA cancer-free controls to examine how differences in heritable WBC gene expression profiles influence MM risk. Genetic determinants of variation in WBC subsets in AA were obtained from the literature and supplemented with new genome-wide association findings in AA subjects from the UK Biobank cohort (n=6108). Odds ratios (OR) for MM per 1 standard deviation (SD) increase in each WBC phenotype were estimated using independent (linkage disequilibrium (LD) r2<0.10) variants with P<10-6 as genetic instruments. Analyses based on variants associated with WBC traits in AA populations did not identify any statistically-significant associations between MM risk and WBC overall (p=0.81, using 15 SNPs) or subsets (lymphocytes, monocytes, eosinophils, neutrophils and basophils, p>0.05 for each). However, when we applied genetic determinants of WBC identified in 330,000 cancer-free EA UK Biobank participants (P<10-8, replication P<0.05, LD r2<0.05), a statistically significant inverse relationship emerged between increasing lymphocyte counts and MM risk (OR=0.80, 95% CI: 0.66-0.97, p=0.02, using 385 SNPs), as well as increasing basophil counts (OR=0.63, 95% CI: 0.41-0.96, p=0.03, using 140 SNPs). Next, we examined the association between WBC gene expression profiles and MM risk in AAMMS data. We applied published and validated ancestry-specific models developed using the PrediXcan approach, which leverage germline genetic and transcriptomic data from the Multi-Ethnic Study of Atherosclerosis (MESA) (Mogil et al. PMID: 30096133). The primary TWAS used gene expression models trained in AA subjects (n=233), with sensitivity analyses using models developed in AA and Hispanic subjects (n=585). The TWAS significance threshold was based on the number of genes with significant germline prediction models (p<0.05 and R2 ≥0.05) in AA, corresponding to P < 0.05/2700 = 1.85×10-5. The expression of two genes was significantly associated with MM risk: KANK1at 9p24.3 (P = 1.01×10-5) and DNAJC27at 2p23.3 (P = 1.56×10-5). KANK1is a candidate tumor suppressor gene for renal cell carcinoma and has recently been associated with MM risk in AA [Du, Blood 2017 130:3058]. Here we provide additional evidence for its role in MM etiology via gene expression-mediated mechanisms. DNAJC27 (previously known as RBJ) is a novel MM risk gene linked to constitutive activation of ERK in solid tumors. We also identified two suggestively associated genes: PRR14 (P = 1.34×10-4; combined AA-Hispanic sample: P = 1.56×10-6), which has been linked to MM risk in EA populations, and PARP16 (P = 9.46×10-5). To our knowledge this is the first study to comprehensively examine variation in WBC traits and gene expression profiles with respect to MM risk in AA. Our TWAS analysis leveraged data from the largest collection of genetic and gene expression data in AA, enabling ancestry-matched inference and identification of two novel risk genes. Although the limited availability of genetic instruments for WBC limited the power of MR analysis, findings using variants identified in European populations may offer some insight into trans-ethnic etiologic pathways and contribute to risk stratification strategies using genetic and blood cell count biomarkers. Future studies, particularly with MGUS-free controls, are needed to validate these results. Disclosures Song: Millennium Pharmaceuticals Inc: Employment. Rand:Ancestry.com: Employment. Ailawadhi:Cellectar: Research Funding; Janssen: Consultancy, Research Funding; Celgene: Consultancy; Pharmacyclics: Research Funding; Amgen: Consultancy, Research Funding; Takeda: Consultancy. Nooka:Takeda: Honoraria, Other: advisory board participation; Janssen: Honoraria, Other: advisory board participation; GSK: Honoraria, Other: advisory board participation; Spectrum pharmaceuticals: Honoraria, Other: advisory board participation; Adaptive technologies: Honoraria, Other: advisory board participation; Amgen: Honoraria, Other: advisory board participation; Celgene: Honoraria, Other: advisory board participation; BMS: Honoraria, Other: advisory board participation. Singhal:Bureau of Millennium/Takeda, Celgene, Janssen, Celgene, Bristol-Myers Squibb and Bluebird: Speakers Bureau. van Rhee:Takeda: Consultancy; Sanofi Genzyme: Consultancy; Castleman Disease Collaborative Network: Consultancy; EUSA: Consultancy; Adicet Bio: Consultancy; Kite Pharma: Consultancy; Karyopharm Therapeutics: Consultancy. Mehta:Millennium/Takeda, Celgene; stock in Celgene, Bristol-Myers Squibb and Bluebird: Speakers Bureau. Wolf:Takeda: Consultancy; Celgene: Consultancy; Novartis: Consultancy; Janssen: Consultancy; Amgen: Consultancy. Martin:Roche and Juno: Consultancy; Amgen, Sanofi, Seattle Genetics: Research Funding. Fiala:Incyte: Research Funding. Terebelo:Jannsen: Speakers Bureau; Celgene: Honoraria; Newland Medical Asociates: Employment. Anderson:Bristol-Myers Squibb: Other: Scientific Founder; Oncopep: Other: Scientific Founder; Amgen: Consultancy, Speakers Bureau; Janssen: Consultancy, Speakers Bureau; Takeda: Consultancy, Speakers Bureau; Celgene: Consultancy, Speakers Bureau; Sanofi-Aventis: Other: Advisory Board. Vij:Bristol-Myers Squibb: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Genentech: Honoraria; Janssen: Honoraria; Karyopharm: Honoraria; Sanofi: Honoraria; Takeda: Honoraria, Research Funding. Bernal-Mizrachi:TAKEDA: Research Funding; Kodikas Therapeutic Solutions, Inc: Equity Ownership; Winship Cancer Institute: Employment, Patents & Royalties. Morgan:Amgen, Roche, Abbvie, Takeda, Celgene, Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Other: research grant, Research Funding. Zonder:Celgene Corporation: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Intellia: Consultancy, Membership on an entity's Board of Directors or advisory committees; Caelum: Consultancy, Membership on an entity's Board of Directors or advisory committees; Alnylam: Consultancy, Membership on an entity's Board of Directors or advisory committees; BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Consultancy, Membership on an entity's Board of Directors or advisory committees. Huff:Member of Safety Monitoring Board for Johnson and Johnson: Membership on an entity's Board of Directors or advisory committees; Karyopharm, Sanofi, MiDiagnostics: Consultancy. Lonial:Karyopharm: Consultancy; Takeda: Consultancy, Research Funding; Amgen: Consultancy; BMS: Consultancy; Janssen: Consultancy, Research Funding; GSK: Consultancy; Celgene Corporation: Consultancy, Research Funding; Genentech: Consultancy. Orlowski:Poseida Therapeutics, Inc.: Research Funding.
Characterization of Novel Subtypes in B Progenitor Acute Lymphoblastic Leukemia
Gu, Zhaohui , Moore, Ian, Hagiwara, Kohei , Gingras, S., Berns, Hartmut , Payne-Turner, Debbie , Hill, Ashley, Pounds, Stanley , Pei, Deqing, Dai, Yunfeng , Reshmi, Shalini C. , Foster, Julie Gastier, Raetz, Elizabeth A. , Borowitz, Michael J., Carroll, William L. , McKay, Patrick Zweider, Mattano, Leonard A. , Maloney, Kelly W. , Rambaldi, Alessandro , Radich, Jerald P. , Minden, Mark D. , Rowe, Jacob M. , Luger, Selina M. , Litzow, Mark R. , Tallman, Martin S. , Recevskis, Janis, Zhang, Yanming , Kohlschmidt, Jessica, Bloomfield, Clara D. , Konopleva, Marina , Evans, William E. , Paietta, Elisabeth , Relling, Mary V. , Zhang, Jinghui , Rambaldi, Alessandro , Pounds, Stanley B , Churchman, Michelle L. , Roberts, Kathryn G. , Zhou, Xin , Nakitandwe, Joy , Pelletier, S. William , Iacobucci, Ilaria , Shi, Lei Gang , Cheng, Cheng , Qu, Chunxu , Devidas, Meenakshi , Wood, Brent L. , Rabin, Karen R. , Spinelli, Orietta , Bhatia, Ravi , Mrózek, Krzysztof , Stock, Wendy , Kornblau, Steven M. , Kantarjian, Hagop M. , Jeha, Sima , Pui, Ching-Hon , Yang, Jun J.J. , Downing, James R. , Loh, Mignon L. , Hunger, Stephen P. , Mullighan, Charles G.

Blood | October 14, 2019 | Volume: 132 | Issue: Supplement 1 | Pages: 565-565

10.1182/blood-2018-99-111219 Get It

Abstract Introduction B progenitor acute lymphoblastic leukemia (B-ALL) is a leading cause of childhood cancer death. Many chimeric genes have been identified and led to a refined classification of B-ALL and tailored therapies. Still, up to 30% of B-ALL cannot be classified into established subtypes, and the outcome for many is poor. Methods To identify novel subtypes of B-ALL, we performed integrative genomic analysis including transcriptome sequencing (RNA-seq) of 1,988 cases from St. Jude, Children's Oncology Group and adult cooperative group studies and analyzed chromosomal rearrangements, gene-expression profiles (GEP), somatic mutations and chromosome-level copy-number alterations. Cases lacking known or putative subtype-defining alterations underwent whole genome sequencing. Effects on proliferation and transformation of novel lesions were assessed by retroviral expression in cell lines and point-mutation knock-in mice using CRISPR/Cas9 genome editing. Results Using integrated genetic alterations and gene expression profiling, we classified 23 B-ALL subtypes (Table and Figure). Three groups included cases with similar GEP as canonical subtypes (ETV6-RUNX1, KMT2A-rearranged, and ZNF384-rearranged), but lacking the expected drivers (e.g., ETV6-RUNX1-like, n=42). Eighteen cases (0.9%) had rearrangements of BCL2, MYC and/or BCL6 showing a distinct GEP; they were mostly adults (n=16) with very poor outcome. These alterations, rarely seen in ALL, are identical to those observed in "double/triple hit" lymphoma, and are of pre-B immunophenotype. Eight cases with tightly clustered GEP comprised a novel subtype defined by IKZF1 N159Y missense mutation. N159Y is in the DNA-binding domain of IKZF1, and is known to perturb IKZF1 function, with distinct nuclear mislocalization and induction of aberrant intercellular adhesion. We identified two subtypes with distinct GEP characterized by PAX5 alterations. One, herein termed PAX5 altered (PAX5alt), comprised 148 (7.4%) cases, was characterized by diverse PAX5 alterations including rearrangements (n=57), sequence mutations (n=46) and/or focal intragenic amplifications (n=8). These PAX5 alterations were found in 73.6% of PAX5alt cases and different alteration types were mutually exclusive. Other PAX5 alterations, including deletions and large-scale amplifications were also assessed using SNP array, but were not enriched in the PAX5alt group. Clinically, PAX5alt pediatric and adult patients had favorable (96.8±3.2%) and intermediate (42.1±10.2%) 5-year overall survival (OS), respectively. The other GEP distinct subtype comprised 44 cases, all with PAX5 P80R missense mutations. In 30 of these cases, PAX5 P80R was homozygous due to deletion of the wild-type (WT) PAX5 allele or copy-neutral loss of heterozygosity. Of the other 14 cases with heterozygous PAX5 P80R mutations, 13 had a second frameshift (n=7), nonsense (n=2) or deleterious missense (n=4) PAX5 mutation. Four of the remaining 1,944 cases also had the PAX5 P80R mutation, but all were heterozygous with preservation of a WT PAX5 allele, consistent with the notion that homozygous or compound heterozygous PAX5 P80R mutation is the hallmark of this subtype. Adult PAX5 P80R cases (n=14) showed better 5-year OS (61.9±13.4%) than those in PAX5alt subtype (42.1±10.2%). To examine the effects of PAX5 P80R on B-cell maturation, WT PAX5, PAX5 P80R, V26G and P34Q were expressed in Pax5-/- lineage-depleted bone marrow cells. Expression of WT PAX5, PAX5 V26G and P34Q resulted in near complete rescue of B cell differentiation; however, expression of PAX5 P80R blocked the differentiation at the pre-pro-B stage of B-cell maturation. Further, Pax5 P80R heterozygous or homozygous mice developed pre-B-ALL with a median latency of 166 and 87 days, respectively, with heterozygous mice acquiring alterations on the second allele. In contrast, Pax5+/- mice, and those harboring G183S mutation observed in familial leukemia, do not spontaneously develop B-ALL. Conclusions These results show the utility of transcriptome sequencing in defining subtypes and founding genetic alterations in B-ALL, provide a revised taxonomy of the disease across the age spectrum, and reinforce the central role of PAX5 as a checkpoint in B lymphoid maturation and leukemogenesis. Disclosures McKay: ImmunoGen Inc.: Employment. Tallman:Orsenix: Other: Advisory board; AROG: Research Funding; BioSight: Other: Advisory board; Cellerant: Research Funding; AbbVie: Research Funding; Daiichi-Sankyo: Other: Advisory board; ADC Therapeutics: Research Funding. Stock:Jazz Pharmaceuticals: Consultancy. Konopleva:Stemline Therapeutics: Research Funding. Relling:Shire Pharmaceuticals: Research Funding. Mullighan:Cancer Prevention and Research Institute of Texas: Consultancy; Amgen: Honoraria, Speakers Bureau; Abbvie: Research Funding; Loxo Oncology: Research Funding; Pfizer: Honoraria, Research Funding, Speakers Bureau.
Advances in the therapy of BRAFV600E metastatic colorectal cancer
Jin, Zhaohui , Jin, Zhaohui , Sinicrope, Frank A.

Expert Review of Anticancer Therapy | August 28, 2019 | Volume: 19 | Issue: 9 | Pages: 823-829

10.1080/14737140.2019.1661778 | PMID 31455117 Get It

Validation of lymphocyte to monocyte ratio in resected small bowel adenocarcinoma as a predictor of survival.
Huffman, Brandon M. , Jin, Zhaohui , Yadav, Siddhartha , Hálfdánarson, Þorvarður R. , Yadav, Siddhartha , Halfdanarson, Thorvardur R , Jin, Zhaohui , Patel, Shruti , Mahipal, Amit

Journal of Clinical Oncology | May 27, 2019 | Volume: 37 | Issue: 15_suppl | Pages: e15799-e15799

10.1200/jco.2019.37.15_suppl.e15799 Get It

e15799 Background: Lymphocyte to monocyte ratio (LMR) has been described as a prognostic factor in many solid tumors including colorectal adenocarcinoma. LMR has not been investigated as a prognostic factor in small bowel cancers. In this study, we aimed to evaluate prognostic factors in resected small bowel adenocarcinoma including LMR. Methods: Two hundred forty-one patients who underwent resection for stage I-III small bowel adenocarcinoma were retrospectively identified utilizing the pathology database at a single tertiary referral institution from 1994 to 2015. All patients had complete follow up data and were included in the survival analysis. One hundred sixty-nine patients had preoperative peripheral blood counts available for analysis. Plot of martingale residuals against LMR were used to establish best cutoff points for LMR. A training set for LMR included consecutively identified patients from 2006 to 2015, and a validation cohort including patients identified from 1994 to 2005 was used. Overall survival was performed utilizing Kaplan-Meier method, and Wilcoxon tests were used for statistical comparisons. Cox proportional hazards were performed and all tests were two sided. P value of < 0.05 was considered significant. Results: Median overall survival for the entire group was 54.5 months (95% CI: 37.2-81.2 months) with 5- and 10-year overall survival of 48% and 35%. The training set for LMR included 81 patients, and the validation set included 88 patients. The cutoff of 1.56 was chosen based on most significant p value (p = 0.002). When combined, the overall area under the curve (AUC) for LMR was 0.63, p < 0.01, (specificity 37.3%, sensitivity 90.1%, positive predictive value 33.1%, and negative predictive value 92.2%). There were 126 patients with LMR > 1.56 and 43 patients with LMR < 1.56 in the entire cohort. In multivariate analysis, LMR under 1.56 was a negative prognostic factor, HR = 2.20 (95% CI: 1.27-3.84, p < 0.01). In addition to LMR, age > 60 years and advanced T stage were independently negative predictors of overall survival in all patients. Conclusions: Lymphocyte-to-monocyte ratio < 1.56 is a validated negative prognostic factor in resected small bowel adenocarcinoma.
Lymphocyte-to-monocyte ratio and neutrophil-to-lymphocyte ratio independently predict survival in resected small bowel adenocarcinoma.
Huffman, Brandon M. , Yadav, Siddhartha , Jin, Zhaohui , Yadav, Siddhartha , Jin, Zhaohui , Patel, Shruti , Mahipal, Amit

Journal of Clinical Oncology | January 29, 2019 | Volume: 37 | Issue: 4_suppl | Pages: 426-426

10.1200/jco.2019.37.4_suppl.426 Get It

426 Background: Small bowel adenocarcinoma is a rare malignancy affecting approximately 2,000 patients per year. There is a paucity of evidence prognosticating patients with small bowel adenocarcinoma. We aimed to evaluate multiple factors in patients with resected small bowel adenocarcinoma to determine any association with survival outcomes. Methods: Ninety three patients who underwent resection for stage I-III small bowel adenocarcinoma were retrospectively identified utilizing the pathology database at a single tertiary referral institution. All patients had complete follow up data and were included in the survival analysis. JMP software was used for statistical analysis. Overall survival was performed utilizing Kaplan-Meier method, and log-rank tests were used for statistical comparisons. Cox proportional hazards were performed to control for age, gender, location of tumor, tumor size, tumor stage, and adjuvant therapy. Sensitivity analysis was performed to establish best cutoff points for continuous variables. All tests were two sided and a P value of < 0.05 was considered significant. Results: The median age at diagnosis was 65 years (range 32-90). 61% were male. Median tumor size was 4.5 cm. There were 20, 36, and 37 patients with stage I, stage II, and stage III disease, respectively. Median overall survival (OS) was 151 months, 104 months, and 44 months for stages I, II, and III disease. In a multivariate analysis, independent predictor factors included presurgical lymphocyte to monocyte ratio (LMR) > 4.0, with a Hazard Ratio (HR) 0.13 (95% CI 0.007-0.69, p = 0.01), presurgical neutrophil to lymphocyte ratio (NLR) < 8.0, HR 0.39 (95% CI 0.17-0.96, p = 0.04), and tumor size < 7.5 cm, HR 0.22 (95% CI 0.07-0.85, p = 0.03). Stage, age, T stage, and N stage influenced overall survival in univariate analysis, but were not statistically significant on multivariate analysis. Conclusions: LMR and NLR independently predict survival in patients with resected small bowel adenocarcinoma.