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Ngo MH, Pinkus GS, Yeh ED, Brock JE, Schulte S, Lester SC. NON-SCLEROSING (T-cell) and sclerosing (B-cell) lymphocytic lobulitis in diagnostic breast biopsies: Clinical, imaging, and pathologic features. Hum Pathol 2024:S0046-8177(24)00051-0. [PMID: 38518977 DOI: 10.1016/j.humpath.2024.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Revised: 03/07/2024] [Accepted: 03/13/2024] [Indexed: 03/24/2024]
Abstract
Lymphocytic lobulitis (LL) is characterized by prominent lymphocytic infiltrates centered on lobules. Sclerosing lymphocytic lobulitis (SCLL) associated with diabetes mellitus (DM) or autoimmune disease (AI) was the first type to be described. Subsequently, non-sclerosing LL (NSCLL) was reported as an incidental finding in prophylactic mastectomies due to high risk germline mutations or a family history of breast cancer. The two types of LL were distinguished by stromal features and a predominant population of B-cells in the former and T-cells in the latter. In this study, 8 cases of NSCLL detected clinically or by screening were compared to 44 cases of SCLL. One case of NSCLL presented as a palpable mass, 2 as masses on screening, and 5 as MRI enhancement. In contrast, 80% of SCLL cases presented as palpable masses. Half the cases of NSCLL were associated with a BRCA1 or 2 mutation compared to 1 case of SCLL (2%). Three additional cases of NSCLL were associated with a strong family and/or personal history of breast cancer. Almost half (52%) of SCLL cases were associated with DM or AI, but only 25% of NSCLL. Immunoperoxidase studies confirmed a predominance of T-cells in NSCLL and B-cells in SCLL associated with DM or AI. It is important for pathologists to be aware of this new observation that NSCLL can be detected as a palpable mass or an imaging finding in diagnostic biopsies, as its presence can be indicative of a significant risk for breast cancer.
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Affiliation(s)
- Marie-Helene Ngo
- Department of Pathology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
| | - Geraldine S Pinkus
- Department of Pathology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
| | - Eren D Yeh
- Department of Radiology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
| | - Jane E Brock
- Department of Pathology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
| | - Stephanie Schulte
- Department of Pathology, Brigham and Women's Faulkner Hospital, Jamaica Plain, MA, USA, 1153 Centre St, Jamaica Plain, MA, 02130, USA.
| | - Susan C Lester
- Department of Pathology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
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Lynce F, Stevens LE, Li Z, Brock JE, Gulvady A, Huang Y, Nakhlis F, Patel A, Force JM, Haddad TC, Ueno N, Stearns V, Wolff AC, Clark AS, Bellon JR, Richardson ET, Balko JM, Krop IE, Winer EP, Lange P, Hwang ES, King TA, Tolaney SM, Thompson A, Gupta GP, Mittendorf EA, Regan MM, Overmoyer B, Polyak K. TBCRC 039: a phase II study of preoperative ruxolitinib with or without paclitaxel for triple-negative inflammatory breast cancer. Breast Cancer Res 2024; 26:20. [PMID: 38297352 PMCID: PMC10829369 DOI: 10.1186/s13058-024-01774-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 01/18/2024] [Indexed: 02/02/2024] Open
Abstract
BACKGROUND Patients with inflammatory breast cancer (IBC) have overall poor clinical outcomes, with triple-negative IBC (TN-IBC) being associated with the worst survival, warranting the investigation of novel therapies. Preclinical studies implied that ruxolitinib (RUX), a JAK1/2 inhibitor, may be an effective therapy for TN-IBC. METHODS We conducted a randomized phase II study with nested window-of-opportunity in TN-IBC. Treatment-naïve patients received a 7-day run-in of RUX alone or RUX plus paclitaxel (PAC). After the run-in, those who received RUX alone proceeded to neoadjuvant therapy with either RUX + PAC or PAC alone for 12 weeks; those who had received RUX + PAC continued treatment for 12 weeks. All patients subsequently received 4 cycles of doxorubicin plus cyclophosphamide prior to surgery. Research tumor biopsies were performed at baseline (pre-run-in) and after run-in therapy. Tumors were evaluated for phosphorylated STAT3 (pSTAT3) by immunostaining, and a subset was also analyzed by RNA-seq. The primary endpoint was the percent of pSTAT3-positive pre-run-in tumors that became pSTAT3-negative. Secondary endpoints included pathologic complete response (pCR). RESULTS Overall, 23 patients were enrolled, of whom 21 completed preoperative therapy. Two patients achieved pCR (8.7%). pSTAT3 and IL-6/JAK/STAT3 signaling decreased in post-run-in biopsies of RUX-treated samples, while sustained treatment with RUX + PAC upregulated IL-6/JAK/STAT3 signaling compared to RUX alone. Both treatments decreased GZMB+ T cells implying immune suppression. RUX alone effectively inhibited JAK/STAT3 signaling but its combination with PAC led to incomplete inhibition. The immune suppressive effects of RUX alone and in combination may negate its growth inhibitory effects on cancer cells. CONCLUSION In summary, the use of RUX in TN-IBC was associated with a decrease in pSTAT3 levels despite lack of clinical benefit. Cancer cell-specific-targeting of JAK2/STAT3 or combinations with immunotherapy may be required for further evaluation of JAK2/STAT3 signaling as a cancer therapeutic target. TRIAL REGISTRATION www. CLINICALTRIALS gov , NCT02876302. Registered 23 August 2016.
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Affiliation(s)
- Filipa Lynce
- Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA.
- Harvard Medical School, Boston, MA, USA.
- Brigham and Women's Hospital, Boston, MA, USA.
| | - Laura E Stevens
- Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | - Zheqi Li
- Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | - Jane E Brock
- Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | - Anushree Gulvady
- Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | - Ying Huang
- Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | - Faina Nakhlis
- Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | - Ashka Patel
- Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | | | | | - Naoto Ueno
- MD Anderson Cancer Center, Houston, TX, USA
| | | | | | - Amy S Clark
- University of Pennsylvania, Philadelphia, PA, USA
| | - Jennifer R Bellon
- Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | - Edward T Richardson
- Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | - Justin M Balko
- Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ian E Krop
- Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
- Yale Cancer Center, New Haven, CT, USA
| | - Eric P Winer
- Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
- Yale Cancer Center, New Haven, CT, USA
| | - Paulina Lange
- Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA
| | | | - Tari A King
- Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | - Sara M Tolaney
- Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | | | | | - Elizabeth A Mittendorf
- Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | - Meredith M Regan
- Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, USA
| | - Beth Overmoyer
- Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | - Kornelia Polyak
- Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA.
- Harvard Medical School, Boston, MA, USA.
- Brigham and Women's Hospital, Boston, MA, USA.
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3
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Trapani D, Jin Q, Block CC, Freedman RA, Lin NU, Tarantino P, Mittendorf EA, King TA, Lester SC, Brock JE, Tayob N, Bunnell CA, Tolaney SM, Burstein HJ. Identifying Patterns and Barriers in OncotypeDX Recurrence Score Testing in Older Patients With Early-Stage, Estrogen Receptor-Positive Breast Cancer: Implications for Guidance and Reimbursement. JCO Oncol Pract 2023; 19:560-570. [PMID: 37192427 DOI: 10.1200/op.22.00731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 02/16/2023] [Accepted: 03/13/2023] [Indexed: 05/18/2023] Open
Abstract
PURPOSE To evaluate the clinical patterns of utilization of OncotypeDX Recurrence Score (RS) in early-stage, hormone receptor-positive, human epidermal growth factor receptor 2-negative breast cancer (BC) at an academic center with previously established internal reflex testing guidelines. METHODS RS testing in accordance with preexisting reflex criteria and predictors of utilization outside of reflex criteria were retrospectively analyzed for the years 2019-2021 in a quality improvement evaluation. Patients were grouped according to OncotypeDX testing within (cohort A) or outside (cohort B) of predefined criteria which included a cap at age older than 65 years. RESULTS Of 1,687 patients whose tumors had RS testing, 1,087 were in cohort A and 600 in cohort B. In cohort B, nearly half of patients were older than 65 years (n = 279; IQR, 67-72 years). For patients older than 65 years, those with RS testing were younger (median age: 69 v 73 years), with higher grade cancers (G2-3: 84.9% v 54.7%) and were more likely to be treated with chemotherapy (15.4% v 4.1%). Issues for implementation of RS testing in older patients were identified, including potential structural barriers related to the current policy on the reimbursements of genomic tests. CONCLUSION Internal guidelines may facilitate standardized utilization of the RS in early-BC. Our data suggest that clinicians preferred broader utilization of RS across the age spectrum, with therapeutically important consequences. Modifying the current policy for reimbursement of RS testing and in internal reflexive testing criteria for those older than 65 years is warranted.
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Affiliation(s)
- Dario Trapani
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA
- Harvard Medical School, Boston, MA
| | - Qingchun Jin
- Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Caroline C Block
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA
- Harvard Medical School, Boston, MA
| | - Rachel A Freedman
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA
- Harvard Medical School, Boston, MA
| | - Nancy U Lin
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA
- Harvard Medical School, Boston, MA
| | - Paolo Tarantino
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA
- Harvard Medical School, Boston, MA
| | - Elizabeth A Mittendorf
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA
- Harvard Medical School, Boston, MA
- Division of Breast Surgery, Department of Surgery, Brigham and Women's Hospital, Boston, MA
| | - Tari A King
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA
- Harvard Medical School, Boston, MA
- Division of Breast Surgery, Department of Surgery, Brigham and Women's Hospital, Boston, MA
| | - Susan C Lester
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA
- Harvard Medical School, Boston, MA
- Breast Pathology, Brigham and Women's Hospital, Boston, MA
| | - Jane E Brock
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA
- Harvard Medical School, Boston, MA
- Breast Pathology, Brigham and Women's Hospital, Boston, MA
| | - Nabihah Tayob
- Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Craig A Bunnell
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA
- Harvard Medical School, Boston, MA
| | - Sara M Tolaney
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA
- Harvard Medical School, Boston, MA
| | - Harold J Burstein
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA
- Harvard Medical School, Boston, MA
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Gerstung M, Jolly C, Leshchiner I, Dentro SC, Gonzalez S, Rosebrock D, Mitchell TJ, Rubanova Y, Anur P, Yu K, Tarabichi M, Deshwar A, Wintersinger J, Kleinheinz K, Vázquez-García I, Haase K, Jerman L, Sengupta S, Macintyre G, Malikic S, Donmez N, Livitz DG, Cmero M, Demeulemeester J, Schumacher S, Fan Y, Yao X, Lee J, Schlesner M, Boutros PC, Bowtell DD, Zhu H, Getz G, Imielinski M, Beroukhim R, Sahinalp SC, Ji Y, Peifer M, Markowetz F, Mustonen V, Yuan K, Wang W, Morris QD, Spellman PT, Wedge DC, Van Loo P, Tarabichi M, Wintersinger J, Deshwar AG, Yu K, Gonzalez S, Rubanova Y, Macintyre G, Adams DJ, Anur P, Beroukhim R, Boutros PC, Bowtell DD, Campbell PJ, Cao S, Christie EL, Cmero M, Cun Y, Dawson KJ, Demeulemeester J, Donmez N, Drews RM, Eils R, Fan Y, Fittall M, Garsed DW, Getz G, Ha G, Imielinski M, Jerman L, Ji Y, Kleinheinz K, Lee J, Lee-Six H, Livitz DG, Malikic S, Markowetz F, Martincorena I, Mitchell TJ, Mustonen V, Oesper L, Peifer M, Peto M, Raphael BJ, Rosebrock D, Sahinalp SC, Salcedo A, Schlesner M, Schumacher S, Sengupta S, Shi R, Shin SJ, Spiro O, Pitkänen E, Pivot X, Piñeiro-Yáñez E, Planko L, Plass C, Polak P, Pons T, Popescu I, Potapova O, Prasad A, Stein LD, Preston SR, Prinz M, Pritchard AL, Prokopec SD, Provenzano E, Puente XS, Puig S, Puiggròs M, Pulido-Tamayo S, Pupo GM, Vázquez-García I, Purdie CA, Quinn MC, Rabionet R, Rader JS, Radlwimmer B, Radovic P, Raeder B, Raine KM, Ramakrishna M, Ramakrishnan K, Vembu S, Ramalingam S, Raphael BJ, Rathmell WK, Rausch T, Reifenberger G, Reimand J, Reis-Filho J, Reuter V, Reyes-Salazar I, Reyna MA, Wheeler DA, Reynolds SM, Rheinbay E, Riazalhosseini Y, Richardson AL, Richter J, Ringel M, Ringnér M, Rino Y, Rippe K, Roach J, Yang TP, Roberts LR, Roberts ND, Roberts SA, Robertson AG, Robertson AJ, Rodriguez JB, Rodriguez-Martin B, Rodríguez-González FG, Roehrl MHA, Rohde M, Yao X, Rokutan H, Romieu G, Rooman I, Roques T, Rosebrock D, Rosenberg M, Rosenstiel PC, Rosenwald A, Rowe EW, Royo R, Yuan K, Rozen SG, Rubanova Y, Rubin MA, Rubio-Perez C, Rudneva VA, Rusev BC, Ruzzenente A, Rätsch G, Sabarinathan R, Sabelnykova VY, Zhu H, Sadeghi S, Sahinalp SC, Saini N, Saito-Adachi M, Saksena G, Salcedo A, Salgado R, Salichos L, Sallari R, Saller C, Wang W, Salvia R, Sam M, Samra JS, Sanchez-Vega F, Sander C, Sanders G, Sarin R, Sarrafi I, Sasaki-Oku A, Sauer T, Morris QD, Sauter G, Saw RPM, Scardoni M, Scarlett CJ, Scarpa A, Scelo G, Schadendorf D, Schein JE, Schilhabel MB, Schlesner M, Spellman PT, Schlomm T, Schmidt HK, Schramm SJ, Schreiber S, Schultz N, Schumacher SE, Schwarz RF, Scolyer RA, Scott D, Scully R, Wedge DC, Seethala R, Segre AV, Selander I, Semple CA, Senbabaoglu Y, Sengupta S, Sereni E, Serra S, Sgroi DC, Shackleton M, Van Loo P, Shah NC, Shahabi S, Shang CA, Shang P, Shapira O, Shelton T, Shen C, Shen H, Shepherd R, Shi R, Spellman PT, Shi Y, Shiah YJ, Shibata T, Shih J, Shimizu E, Shimizu K, Shin SJ, Shiraishi Y, Shmaya T, Shmulevich I, Wedge DC, Shorser SI, Short C, Shrestha R, Shringarpure SS, Shriver C, Shuai S, Sidiropoulos N, Siebert R, Sieuwerts AM, Sieverling L, Van Loo P, Signoretti S, Sikora KO, Simbolo M, Simon R, Simons JV, Simpson JT, Simpson PT, Singer S, Sinnott-Armstrong N, Sipahimalani P, Aaltonen LA, Skelly TJ, Smid M, Smith J, Smith-McCune K, Socci ND, Sofia HJ, Soloway MG, Song L, Sood AK, Sothi S, Abascal F, Sotiriou C, Soulette CM, Span PN, Spellman PT, Sperandio N, Spillane AJ, Spiro O, Spring J, Staaf J, Stadler PF, Abeshouse A, Staib P, Stark SG, Stebbings L, Stefánsson ÓA, Stegle O, Stein LD, Stenhouse A, Stewart C, Stilgenbauer S, Stobbe MD, Aburatani H, Stratton MR, Stretch JR, Struck AJ, Stuart JM, Stunnenberg HG, Su H, Su X, Sun RX, Sungalee S, Susak H, Adams DJ, Suzuki A, Sweep F, Szczepanowski M, Sültmann H, Yugawa T, Tam A, Tamborero D, Tan BKT, Tan D, Tan P, Agrawal N, Tanaka H, Taniguchi H, Tanskanen TJ, Tarabichi M, Tarnuzzer R, Tarpey P, Taschuk ML, Tatsuno K, Tavaré S, Taylor DF, Ahn KS, Taylor-Weiner A, Teague JW, Teh BT, Tembe V, Temes J, Thai K, Thayer SP, Thiessen N, Thomas G, Thomas S, Ahn SM, Thompson A, Thompson AM, Thompson JFF, Thompson RH, Thorne H, Thorne LB, Thorogood A, Tiao G, Tijanic N, Timms LE, Aikata H, Tirabosco R, Tojo M, Tommasi S, Toon CW, Toprak UH, Torrents D, Tortora G, Tost J, Totoki Y, Townend D, Akbani R, Traficante N, Treilleux I, Trotta JR, Trümper LHP, Tsao M, Tsunoda T, Tubio JMC, Tucker O, Turkington R, Turner DJ, Akdemir KC, Tutt A, Ueno M, Ueno NT, Umbricht C, Umer HM, Underwood TJ, Urban L, Urushidate T, Ushiku T, Uusküla-Reimand L, Al-Ahmadie H, Valencia A, Van Den Berg DJ, Van Laere S, Van Loo P, Van Meir EG, Van den Eynden GG, Van der Kwast T, Vasudev N, Vazquez M, Vedururu R, Al-Sedairy ST, Veluvolu U, Vembu S, Verbeke LPC, Vermeulen P, Verrill C, Viari A, Vicente D, Vicentini C, VijayRaghavan K, Viksna J, Al-Shahrour F, Vilain RE, Villasante I, Vincent-Salomon A, Visakorpi T, Voet D, Vyas P, Vázquez-García I, Waddell NM, Waddell N, Wadelius C, Alawi M, Wadi L, Wagener R, Wala JA, Wang J, Wang J, Wang L, Wang Q, Wang W, Wang Y, Wang Z, Albert M, Waring PM, Warnatz HJ, Warrell J, Warren AY, Waszak SM, Wedge DC, Weichenhan D, Weinberger P, Weinstein JN, Weischenfeldt J, Aldape K, Weisenberger DJ, Welch I, Wendl MC, Werner J, Whalley JP, Wheeler DA, Whitaker HC, Wigle D, Wilkerson MD, Williams A, Alexandrov LB, Wilmott JS, Wilson GW, Wilson JM, Wilson RK, Winterhoff B, Wintersinger JA, Wiznerowicz M, Wolf S, Wong BH, Wong T, Ally A, Wong W, Woo Y, Wood S, Wouters BG, Wright AJ, Wright DW, Wright MH, Wu CL, Wu DY, Wu G, Alsop K, Wu J, Wu K, Wu Y, Wu Z, Xi L, Xia T, Xiang Q, Xiao X, Xing R, Xiong H, Alvarez EG, Xu Q, Xu Y, Xue H, Yachida S, Yakneen S, Yamaguchi R, Yamaguchi TN, Yamamoto M, Yamamoto S, Yamaue H, Amary F, Yang F, Yang H, Yang JY, Yang L, Yang L, Yang S, Yang TP, Yang Y, Yao X, Yaspo ML, Amin SB, Yates L, Yau C, Ye C, Ye K, Yellapantula VD, Yoon CJ, Yoon SS, Yousif F, Yu J, Yu K, Aminou B, Yu W, Yu Y, Yuan K, Yuan Y, Yuen D, Yung CK, Zaikova O, Zamora J, Zapatka M, Zenklusen JC, Ammerpohl O, Zenz T, Zeps N, Zhang CZ, Zhang F, Zhang H, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Anderson MJ, Zhang X, Zhang X, Zhang Y, Zhang Z, Zhao Z, Zheng L, Zheng X, Zhou W, Zhou Y, Zhu B, Ang Y, Zhu H, Zhu J, Zhu S, Zou L, Zou X, deFazio A, van As N, van Deurzen CHM, van de Vijver MJ, van’t Veer L, Antonello D, von Mering C, Anur P, Aparicio S, Appelbaum EL, Arai Y, Aretz A, Arihiro K, Ariizumi SI, Armenia J, Arnould L, Asa S, Assenov Y, Atwal G, Aukema S, Auman JT, Aure MRR, Awadalla P, Aymerich M, Bader GD, Baez-Ortega A, Bailey MH, Bailey PJ, Balasundaram M, Balu S, Bandopadhayay P, Banks RE, Barbi S, Barbour AP, Barenboim J, Barnholtz-Sloan J, Barr H, Barrera E, Bartlett J, Bartolome J, Bassi C, Bathe OF, Baumhoer D, Bavi P, Baylin SB, Bazant W, Beardsmore D, Beck TA, Behjati S, Behren A, Niu B, Bell C, Beltran S, Benz C, Berchuck A, Bergmann AK, Bergstrom EN, Berman BP, Berney DM, Bernhart SH, Beroukhim R, Berrios M, Bersani S, Bertl J, Betancourt M, Bhandari V, Bhosle SG, Biankin AV, Bieg M, Bigner D, Binder H, Birney E, Birrer M, Biswas NK, Bjerkehagen B, Bodenheimer T, Boice L, Bonizzato G, De Bono JS, Boot A, Bootwalla MS, Borg A, Borkhardt A, Boroevich KA, Borozan I, Borst C, Bosenberg M, Bosio M, Boultwood J, Bourque G, Boutros PC, Bova GS, Bowen DT, Bowlby R, Bowtell DDL, Boyault S, Boyce R, Boyd J, Brazma A, Brennan P, Brewer DS, Brinkman AB, Bristow RG, Broaddus RR, Brock JE, Brock M, Broeks A, Brooks AN, Brooks D, Brors B, Brunak S, Bruxner TJC, Bruzos AL, Buchanan A, Buchhalter I, Buchholz C, Bullman S, Burke H, Burkhardt B, Burns KH, Busanovich J, Bustamante CD, Butler AP, Butte AJ, Byrne NJ, Børresen-Dale AL, Caesar-Johnson SJ, Cafferkey A, Cahill D, Calabrese C, Caldas C, Calvo F, Camacho N, Campbell PJ, Campo E, Cantù C, Cao S, Carey TE, Carlevaro-Fita J, Carlsen R, Cataldo I, Cazzola M, Cebon J, Cerfolio R, Chadwick DE, Chakravarty D, Chalmers D, Chan CWY, Chan K, Chan-Seng-Yue M, Chandan VS, Chang DK, Chanock SJ, Chantrill LA, Chateigner A, Chatterjee N, Chayama K, Chen HW, Chen J, Chen K, Chen Y, Chen Z, Cherniack AD, Chien J, Chiew YE, Chin SF, Cho J, Cho S, Choi JK, Choi W, Chomienne C, Chong Z, Choo SP, Chou A, Christ AN, Christie EL, Chuah E, Cibulskis C, Cibulskis K, Cingarlini S, Clapham P, Claviez A, Cleary S, Cloonan N, Cmero M, Collins CC, Connor AA, Cooke SL, Cooper CS, Cope L, Corbo V, Cordes MG, Cordner SM, Cortés-Ciriano I, Covington K, Cowin PA, Craft B, Craft D, Creighton CJ, Cun Y, Curley E, Cutcutache I, Czajka K, Czerniak B, Dagg RA, Danilova L, Davi MV, Davidson NR, Davies H, Davis IJ, Davis-Dusenbery BN, Dawson KJ, De La Vega FM, De Paoli-Iseppi R, Defreitas T, Tos APD, Delaneau O, Demchok JA, Demeulemeester J, Demidov GM, Demircioğlu D, Dennis NM, Denroche RE, Dentro SC, Desai N, Deshpande V, Deshwar AG, Desmedt C, Deu-Pons J, Dhalla N, Dhani NC, Dhingra P, Dhir R, DiBiase A, Diamanti K, Ding L, Ding S, Dinh HQ, Dirix L, 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D, Lee D, Lee EA, Lee HJ, Lee JJK, Lee JY, Lee J, Lee MTM, Lee-Six H, Lehmann KV, Lehrach H, Lenze D, Leonard CR, Leongamornlert DA, Leshchiner I, Letourneau L, Letunic I, Levine DA, Lewis L, Ley T, Li C, Li CH, Li HI, Li J, Li L, Li S, Li S, Li X, Li X, Li X, Li Y, Liang H, Liang SB, Lichter P, Lin P, Lin Z, Linehan WM, Lingjærde OC, Liu D, Liu EM, Liu FFF, Liu F, Liu J, Liu X, Livingstone J, Livitz D, Livni N, Lochovsky L, Loeffler M, Long GV, Lopez-Guillermo A, Lou S, Louis DN, Lovat LB, Lu Y, Lu YJ, Lu Y, Luchini C, Lungu I, Luo X, Luxton HJ, Lynch AG, Lype L, López C, López-Otín C, Ma EZ, Ma Y, MacGrogan G, MacRae S, Macintyre G, Madsen T, Maejima K, Mafficini A, Maglinte DT, Maitra A, Majumder PP, Malcovati L, Malikic S, Malleo G, Mann GJ, Mantovani-Löffler L, Marchal K, Marchegiani G, Mardis ER, Margolin AA, Marin MG, Markowetz F, Markowski J, Marks J, Marques-Bonet T, Marra MA, Marsden L, Martens JWM, Martin S, Martin-Subero JI, Martincorena I, Martinez-Fundichely A, Maruvka YE, Mashl RJ, Massie CE, Matthew TJ, Matthews L, Mayer E, Mayes S, Mayo M, Mbabaali F, McCune K, McDermott U, McGillivray PD, McLellan MD, McPherson JD, McPherson JR, McPherson TA, Meier SR, Meng A, Meng S, Menzies A, Merrett ND, Merson S, Meyerson M, Meyerson W, Mieczkowski PA, Mihaiescu GL, Mijalkovic S, Mikkelsen T, Milella M, Mileshkin L, Miller CA, Miller DK, Miller JK, Mills GB, Milovanovic A, Minner S, Miotto M, Arnau GM, Mirabello L, Mitchell C, Mitchell TJ, Miyano S, Miyoshi N, Mizuno S, Molnár-Gábor F, Moore MJ, Moore RA, Morganella S, Morris QD, Morrison C, Mose LE, Moser CD, Muiños F, Mularoni L, Mungall AJ, Mungall K, Musgrove EA, Mustonen V, Mutch D, Muyas F, Muzny DM, Muñoz A, Myers J, Myklebost O, Möller P, Nagae G, Nagrial AM, Nahal-Bose HK, Nakagama H, Nakagawa H, Nakamura H, Nakamura T, Nakano K, Nandi T, Nangalia J, Nastic M, Navarro A, Navarro FCP, Neal DE, Nettekoven G, Newell F, Newhouse SJ, Newton Y, Ng AWT, Ng A, Nicholson J, Nicol D, Nie Y, Nielsen GP, Nielsen 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Author Correction: The evolutionary history of 2,658 cancers. Nature 2023; 614:E42. [PMID: 36697833 PMCID: PMC9931577 DOI: 10.1038/s41586-022-05601-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- Moritz Gerstung
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK. .,European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany. .,Wellcome Sanger Institute, Cambridge, UK.
| | - Clemency Jolly
- grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK
| | - Ignaty Leshchiner
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Stefan C. Dentro
- grid.10306.340000 0004 0606 5382Wellcome Sanger Institute, Cambridge, UK ,grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK ,grid.4991.50000 0004 1936 8948Big Data Institute, University of Oxford, Oxford, UK
| | - Santiago Gonzalez
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK
| | - Daniel Rosebrock
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Thomas J. Mitchell
- grid.10306.340000 0004 0606 5382Wellcome Sanger Institute, Cambridge, UK ,grid.5335.00000000121885934University of Cambridge, Cambridge, UK
| | - Yulia Rubanova
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.494618.6Vector Institute, Toronto, Ontario Canada
| | - Pavana Anur
- grid.5288.70000 0000 9758 5690Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR USA
| | - Kaixian Yu
- grid.240145.60000 0001 2291 4776The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Maxime Tarabichi
- grid.10306.340000 0004 0606 5382Wellcome Sanger Institute, Cambridge, UK ,grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK
| | - Amit Deshwar
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.494618.6Vector Institute, Toronto, Ontario Canada
| | - Jeff Wintersinger
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.494618.6Vector Institute, Toronto, Ontario Canada
| | - Kortine Kleinheinz
- grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany ,grid.7700.00000 0001 2190 4373Heidelberg University, Heidelberg, Germany
| | - Ignacio Vázquez-García
- grid.10306.340000 0004 0606 5382Wellcome Sanger Institute, Cambridge, UK ,grid.5335.00000000121885934University of Cambridge, Cambridge, UK
| | - Kerstin Haase
- grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK
| | - Lara Jerman
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK ,grid.8954.00000 0001 0721 6013University of Ljubljana, Ljubljana, Slovenia
| | - Subhajit Sengupta
- grid.240372.00000 0004 0400 4439NorthShore University HealthSystem, Evanston, IL USA
| | - Geoff Macintyre
- grid.5335.00000000121885934Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Salem Malikic
- grid.61971.380000 0004 1936 7494Simon Fraser University, Burnaby, British Columbia Canada ,grid.412541.70000 0001 0684 7796Vancouver Prostate Centre, Vancouver, British Columbia Canada
| | - Nilgun Donmez
- grid.61971.380000 0004 1936 7494Simon Fraser University, Burnaby, British Columbia Canada ,grid.412541.70000 0001 0684 7796Vancouver Prostate Centre, Vancouver, British Columbia Canada
| | - Dimitri G. Livitz
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Marek Cmero
- grid.1008.90000 0001 2179 088XUniversity of Melbourne, Melbourne, Victoria Australia ,grid.1042.70000 0004 0432 4889Walter and Eliza Hall Institute, Melbourne, Victoria Australia
| | - Jonas Demeulemeester
- grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK ,grid.5596.f0000 0001 0668 7884University of Leuven, Leuven, Belgium
| | - Steven Schumacher
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Yu Fan
- grid.240145.60000 0001 2291 4776The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Xiaotong Yao
- grid.5386.8000000041936877XWeill Cornell Medicine, New York, NY USA ,grid.429884.b0000 0004 1791 0895New York Genome Center, New York, NY USA
| | - Juhee Lee
- grid.205975.c0000 0001 0740 6917University of California Santa Cruz, Santa Cruz, CA USA
| | - Matthias Schlesner
- grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Paul C. Boutros
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.419890.d0000 0004 0626 690XOntario Institute for Cancer Research, Toronto, Ontario Canada ,grid.19006.3e0000 0000 9632 6718University of California, Los Angeles, CA USA
| | - David D. Bowtell
- grid.1055.10000000403978434Peter MacCallum Cancer Centre, Melbourne, Victoria Australia
| | - Hongtu Zhu
- grid.240145.60000 0001 2291 4776The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Gad Getz
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.32224.350000 0004 0386 9924Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA USA ,grid.32224.350000 0004 0386 9924Department of Pathology, Massachusetts General Hospital, Boston, MA USA ,grid.38142.3c000000041936754XHarvard Medical School, Boston, MA USA
| | - Marcin Imielinski
- grid.5386.8000000041936877XWeill Cornell Medicine, New York, NY USA ,grid.429884.b0000 0004 1791 0895New York Genome Center, New York, NY USA
| | - Rameen Beroukhim
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.65499.370000 0001 2106 9910Dana-Farber Cancer Institute, Boston, MA USA
| | - S. Cenk Sahinalp
- grid.412541.70000 0001 0684 7796Vancouver Prostate Centre, Vancouver, British Columbia Canada ,grid.411377.70000 0001 0790 959XIndiana University, Bloomington, IN USA
| | - Yuan Ji
- grid.240372.00000 0004 0400 4439NorthShore University HealthSystem, Evanston, IL USA ,grid.170205.10000 0004 1936 7822The University of Chicago, Chicago, IL USA
| | - Martin Peifer
- grid.6190.e0000 0000 8580 3777University of Cologne, Cologne, Germany
| | - Florian Markowetz
- grid.5335.00000000121885934Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Ville Mustonen
- grid.7737.40000 0004 0410 2071University of Helsinki, Helsinki, Finland
| | - Ke Yuan
- grid.5335.00000000121885934Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK ,grid.8756.c0000 0001 2193 314XUniversity of Glasgow, Glasgow, UK
| | - Wenyi Wang
- grid.240145.60000 0001 2291 4776The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Quaid D. Morris
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.494618.6Vector Institute, Toronto, Ontario Canada
| | | | - Paul T. Spellman
- grid.5288.70000 0000 9758 5690Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR USA
| | - David C. Wedge
- grid.4991.50000 0004 1936 8948Big Data Institute, University of Oxford, Oxford, UK ,grid.454382.c0000 0004 7871 7212Oxford NIHR Biomedical Research Centre, Oxford, UK
| | - Peter Van Loo
- The Francis Crick Institute, London, UK. .,University of Leuven, Leuven, Belgium.
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Calabrese C, Davidson NR, Demircioğlu D, Fonseca NA, He Y, Kahles A, Lehmann KV, Liu F, Shiraishi Y, Soulette CM, Urban L, Greger L, Li S, Liu D, Perry MD, Xiang Q, Zhang F, Zhang J, Bailey P, Erkek S, Hoadley KA, Hou Y, Huska MR, Kilpinen H, Korbel JO, Marin MG, Markowski J, Nandi T, Pan-Hammarström Q, Pedamallu CS, Siebert R, Stark SG, Su H, Tan P, Waszak SM, Yung C, Zhu S, Awadalla P, Creighton CJ, Meyerson M, Ouellette BFF, Wu K, Yang H, Brazma A, Brooks AN, Göke J, Rätsch G, Schwarz RF, Stegle O, Zhang Z, Wu K, Yang H, Fonseca NA, Kahles A, Lehmann KV, Urban L, Soulette CM, Shiraishi Y, Liu F, He Y, Demircioğlu D, Davidson NR, Calabrese C, Zhang J, Perry MD, Xiang Q, Greger L, Li S, Liu D, Stark SG, Zhang F, Amin SB, Bailey P, Chateigner A, Cortés-Ciriano I, Craft B, Erkek S, Frenkel-Morgenstern M, Goldman M, Hoadley KA, Hou Y, Huska MR, Khurana E, Kilpinen H, Korbel JO, Lamaze FC, Li C, Li X, Li X, Liu X, Marin MG, Markowski J, Nandi T, Nielsen MM, Ojesina AI, Pan-Hammarström Q, Park PJ, Pedamallu CS, Pedersen JS, Pederzoli P, Peifer M, Pennell NA, Perou CM, Perry MD, Petersen GM, Peto M, Petrelli N, Pedamallu CS, Petryszak R, Pfister SM, Phillips M, Pich O, Pickett HA, Pihl TD, Pillay N, Pinder S, Pinese M, Pinho AV, Pedersen JS, Pitkänen E, Pivot X, Piñeiro-Yáñez E, Planko L, Plass C, Polak P, Pons T, Popescu I, Potapova O, Prasad A, Siebert R, Preston SR, Prinz M, Pritchard AL, Prokopec SD, Provenzano E, Puente XS, Puig S, Puiggròs M, Pulido-Tamayo S, Pupo GM, Su H, Purdie CA, Quinn MC, Rabionet R, Rader JS, Radlwimmer B, Radovic P, Raeder B, Raine KM, Ramakrishna M, Ramakrishnan K, Tan P, Ramalingam S, Raphael BJ, Rathmell WK, Rausch T, Reifenberger G, Reimand J, Reis-Filho J, Reuter V, Reyes-Salazar I, Reyna MA, Teh BT, Reynolds SM, Rheinbay E, Riazalhosseini Y, Richardson AL, Richter J, Ringel M, Ringnér M, Rino Y, Rippe K, Roach J, Wang J, Roberts LR, Roberts ND, Roberts SA, Robertson AG, Robertson AJ, Rodriguez JB, Rodriguez-Martin B, Rodríguez-González FG, Roehrl MHA, Rohde M, Waszak SM, Rokutan H, Romieu G, Rooman I, Roques T, Rosebrock D, Rosenberg M, Rosenstiel PC, Rosenwald A, Rowe EW, Royo R, Xiong H, Rozen SG, Rubanova Y, Rubin MA, Rubio-Perez C, Rudneva VA, Rusev BC, Ruzzenente A, Rätsch G, Sabarinathan R, Sabelnykova VY, Yakneen S, Sadeghi S, Sahinalp SC, Saini N, Saito-Adachi M, Saksena G, Salcedo A, Salgado R, Salichos L, Sallari R, Saller C, Ye C, Salvia R, Sam M, Samra JS, Sanchez-Vega F, Sander C, Sanders G, Sarin R, Sarrafi I, Sasaki-Oku A, Sauer T, Yung C, Sauter G, Saw RPM, Scardoni M, Scarlett CJ, Scarpa A, Scelo G, Schadendorf D, Schein JE, Schilhabel MB, Schlesner M, Zhang X, Schlomm T, Schmidt HK, Schramm SJ, Schreiber S, Schultz N, Schumacher SE, Schwarz RF, Scolyer RA, Scott D, Scully R, Zheng L, Seethala R, Segre AV, Selander I, Semple CA, Senbabaoglu Y, Sengupta S, Sereni E, Serra S, Sgroi DC, Shackleton M, Zhu J, Shah NC, Shahabi S, Shang CA, Shang P, Shapira O, Shelton T, Shen C, Shen H, Shepherd R, Shi R, Zhu S, Shi Y, Shiah YJ, Shibata T, Shih J, Shimizu E, Shimizu K, Shin SJ, Shiraishi Y, Shmaya T, Shmulevich I, Awadalla P, Shorser SI, Short C, Shrestha R, Shringarpure SS, Shriver C, Shuai S, Sidiropoulos N, Siebert R, Sieuwerts AM, Sieverling L, Creighton CJ, Signoretti S, Sikora KO, Simbolo M, Simon R, Simons JV, Simpson JT, Simpson PT, Singer S, Sinnott-Armstrong N, Sipahimalani P, Meyerson M, Skelly TJ, Smid M, Smith J, Smith-McCune K, Socci ND, Sofia HJ, Soloway MG, Song L, Sood AK, Sothi S, Ouellette BFF, Sotiriou C, Soulette CM, Span PN, Spellman PT, Sperandio N, Spillane AJ, Spiro O, Spring J, Staaf J, Stadler PF, Wu K, Staib P, Stark SG, Stebbings L, Stefánsson ÓA, Stegle O, Stein LD, Stenhouse A, Stewart C, Stilgenbauer S, Stobbe MD, Yang H, Stratton MR, Stretch JR, Struck AJ, Stuart JM, Stunnenberg HG, Su H, Su X, Sun RX, Sungalee S, Susak H, Göke J, Suzuki A, Sweep F, Szczepanowski M, Sültmann H, Yugawa T, Tam A, Tamborero D, Tan BKT, Tan D, Tan P, Schwarz RF, Tanaka H, Taniguchi H, Tanskanen TJ, Tarabichi M, Tarnuzzer R, Tarpey P, Taschuk ML, Tatsuno K, Tavaré S, Taylor DF, Stegle O, Taylor-Weiner A, Teague JW, Teh BT, Tembe V, Temes J, Thai K, Thayer SP, Thiessen N, Thomas G, Thomas S, Zhang Z, Thompson A, Thompson AM, Thompson JFF, Thompson RH, Thorne H, Thorne LB, Thorogood A, Tiao G, Tijanic N, Timms LE, Brazma A, Tirabosco R, Tojo M, Tommasi S, Toon CW, Toprak UH, Torrents D, Tortora G, Tost J, Totoki Y, Townend D, Rätsch G, Traficante N, Treilleux I, Trotta JR, Trümper LHP, Tsao M, Tsunoda T, Tubio JMC, Tucker O, Turkington R, Turner DJ, Brooks AN, Tutt A, Ueno M, Ueno NT, Umbricht C, Umer HM, Underwood TJ, Urban L, Urushidate T, Ushiku T, Uusküla-Reimand L, Brazma A, Valencia A, Van Den Berg DJ, Van Laere S, Van Loo P, Van Meir EG, Van den Eynden GG, Van der Kwast T, Vasudev N, Vazquez M, Vedururu R, Brooks AN, Veluvolu U, Vembu S, Verbeke LPC, Vermeulen P, Verrill C, Viari A, Vicente D, Vicentini C, VijayRaghavan K, Viksna J, Göke J, Vilain RE, Villasante I, Vincent-Salomon A, Visakorpi T, Voet D, Vyas P, Vázquez-García I, Waddell NM, Waddell N, Wadelius C, Rätsch G, Wadi L, Wagener R, Wala JA, Wang J, Wang J, Wang L, Wang Q, Wang W, Wang Y, Wang Z, Schwarz RF, Waring PM, Warnatz HJ, Warrell J, Warren AY, Waszak SM, Wedge DC, Weichenhan D, Weinberger P, Weinstein JN, Weischenfeldt J, Stegle O, Weisenberger DJ, Welch I, Wendl MC, Werner J, Whalley JP, Wheeler DA, Whitaker HC, Wigle D, Wilkerson MD, Williams A, Zhang Z, Wilmott JS, Wilson GW, Wilson JM, Wilson RK, Winterhoff B, Wintersinger JA, Wiznerowicz M, Wolf S, Wong BH, Wong T, Aaltonen LA, Wong W, Woo Y, Wood S, Wouters BG, Wright AJ, Wright DW, Wright MH, Wu CL, Wu DY, Wu G, Abascal F, Wu J, Wu K, Wu Y, Wu Z, Xi L, Xia T, Xiang Q, Xiao X, Xing R, Xiong H, Abeshouse A, Xu Q, Xu Y, Xue H, Yachida S, Yakneen S, Yamaguchi R, Yamaguchi TN, Yamamoto M, Yamamoto S, Yamaue H, Aburatani H, Yang F, Yang H, Yang JY, Yang L, Yang L, Yang S, Yang TP, Yang Y, Yao X, Yaspo ML, Adams DJ, Yates L, Yau C, Ye C, Ye K, Yellapantula VD, Yoon CJ, Yoon SS, Yousif F, Yu J, Yu K, Agrawal N, Yu W, Yu Y, Yuan K, Yuan Y, Yuen D, Yung CK, Zaikova O, Zamora J, Zapatka M, Zenklusen JC, Ahn KS, Zenz T, Zeps N, Zhang CZ, Zhang F, Zhang H, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Ahn SM, Zhang X, Zhang X, Zhang Y, Zhang Z, Zhao Z, Zheng L, Zheng X, Zhou W, Zhou Y, Zhu B, Aikata H, Zhu H, Zhu J, Zhu S, Zou L, Zou X, deFazio A, van As N, van Deurzen CHM, van de Vijver MJ, van’t Veer L, Akbani R, von Mering C, Akdemir KC, Al-Ahmadie H, Al-Sedairy ST, Al-Shahrour F, Alawi M, Albert M, Aldape K, Alexandrov LB, Ally A, Alsop K, Alvarez EG, Amary F, Amin SB, Aminou B, Ammerpohl O, Anderson MJ, Ang Y, Antonello D, Anur P, Aparicio S, Appelbaum EL, Arai Y, Aretz A, Arihiro K, Ariizumi SI, Armenia J, Arnould L, Asa S, Assenov Y, Atwal G, Aukema S, Auman JT, Aure MRR, Awadalla P, Aymerich M, Bader GD, Baez-Ortega A, Bailey MH, Bailey PJ, Balasundaram M, Balu S, Bandopadhayay P, Banks RE, Barbi S, Barbour AP, Barenboim J, Barnholtz-Sloan J, Barr H, Barrera E, Bartlett J, Bartolome J, Bassi C, Bathe OF, Baumhoer D, Bavi P, Baylin SB, Bazant W, Beardsmore D, Beck TA, Behjati S, Behren A, Niu B, Bell C, Beltran S, Benz C, Berchuck A, Bergmann AK, Bergstrom EN, Berman BP, Berney DM, Bernhart SH, Beroukhim R, Berrios M, Bersani S, Bertl J, Betancourt M, Bhandari V, Bhosle SG, Biankin AV, Bieg M, Bigner D, Binder H, Birney E, Birrer M, Biswas NK, Bjerkehagen B, Bodenheimer T, Boice L, Bonizzato G, De Bono JS, Boot A, Bootwalla MS, Borg A, Borkhardt A, Boroevich KA, Borozan I, Borst C, Bosenberg M, Bosio M, Boultwood J, Bourque G, Boutros PC, Bova GS, Bowen DT, Bowlby R, Bowtell DDL, Boyault S, Boyce R, Boyd J, Brazma A, Brennan P, Brewer DS, Brinkman AB, Bristow RG, Broaddus RR, Brock JE, Brock M, Broeks A, Brooks AN, Brooks D, Brors B, Brunak S, Bruxner TJC, Bruzos AL, Buchanan A, Buchhalter I, Buchholz C, Bullman S, Burke H, Burkhardt B, Burns KH, Busanovich J, Bustamante CD, Butler AP, Butte AJ, Byrne NJ, Børresen-Dale AL, Caesar-Johnson SJ, Cafferkey A, Cahill D, Calabrese C, Caldas C, Calvo F, Camacho N, Campbell PJ, Campo E, Cantù C, Cao S, Carey TE, Carlevaro-Fita J, Carlsen R, Cataldo I, Cazzola M, Cebon J, Cerfolio R, Chadwick DE, Chakravarty D, Chalmers D, Chan CWY, Chan K, Chan-Seng-Yue M, Chandan VS, Chang DK, Chanock SJ, Chantrill LA, Chateigner A, Chatterjee N, Chayama K, Chen HW, Chen J, Chen K, Chen Y, Chen Z, Cherniack AD, Chien J, Chiew YE, Chin SF, Cho J, Cho S, Choi JK, Choi W, Chomienne C, Chong Z, Choo SP, Chou A, Christ AN, Christie EL, Chuah E, Cibulskis C, Cibulskis K, Cingarlini S, Clapham P, Claviez A, Cleary S, Cloonan N, Cmero M, Collins CC, Connor AA, Cooke SL, Cooper CS, Cope L, Corbo V, Cordes MG, Cordner SM, Cortés-Ciriano I, Covington K, Cowin PA, Craft B, Craft D, Creighton CJ, Cun Y, Curley E, Cutcutache I, Czajka K, Czerniak B, Dagg RA, Danilova L, Davi MV, Davidson NR, Davies H, Davis IJ, Davis-Dusenbery BN, Dawson KJ, De La Vega FM, De Paoli-Iseppi R, Defreitas T, Tos APD, Delaneau O, Demchok JA, Demeulemeester J, Demidov GM, Demircioğlu D, Dennis NM, Denroche RE, Dentro SC, Desai N, Deshpande V, Deshwar AG, Desmedt C, Deu-Pons J, Dhalla N, Dhani NC, Dhingra P, Dhir R, DiBiase A, Diamanti K, Ding L, Ding S, Dinh HQ, Dirix L, Doddapaneni H, Donmez N, Dow MT, Drapkin R, Drechsel O, Drews RM, Serge S, Dudderidge T, Dueso-Barroso A, Dunford AJ, Dunn M, Dursi LJ, Duthie FR, Dutton-Regester K, Eagles J, Easton DF, Edmonds S, Edwards PA, Edwards SE, Eeles RA, Ehinger A, Eils J, Eils R, El-Naggar A, Eldridge M, Ellrott K, Erkek S, Escaramis G, Espiritu SMG, Estivill X, Etemadmoghadam D, Eyfjord JE, Faltas BM, Fan D, Fan Y, Faquin WC, Farcas C, Fassan M, Fatima A, Favero F, Fayzullaev N, Felau I, Fereday S, Ferguson ML, Ferretti V, Feuerbach L, Field MA, Fink JL, Finocchiaro G, Fisher C, Fittall MW, Fitzgerald A, Fitzgerald RC, Flanagan AM, Fleshner NE, Flicek P, Foekens JA, Fong KM, Fonseca NA, Foster CS, Fox NS, Fraser M, Frazer S, Frenkel-Morgenstern M, Friedman W, Frigola J, Fronick CC, Fujimoto A, Fujita M, Fukayama M, Fulton LA, Fulton RS, Furuta M, Futreal PA, Füllgrabe A, Gabriel SB, Gallinger S, Gambacorti-Passerini C, Gao J, Gao S, Garraway L, Garred Ø, Garrison E, Garsed DW, Gehlenborg N, Gelpi JLL, George J, Gerhard DS, Gerhauser C, Gershenwald JE, Gerstein M, Gerstung M, Getz G, Ghori M, Ghossein R, Giama NH, Gibbs RA, Gibson B, Gill AJ, Gill P, Giri DD, Glodzik D, Gnanapragasam VJ, Goebler ME, Goldman MJ, Gomez C, Gonzalez S, Gonzalez-Perez A, Gordenin DA, Gossage J, Gotoh K, Govindan R, Grabau D, Graham JS, Grant RC, Green AR, Green E, Greger L, Grehan N, Grimaldi S, Grimmond SM, Grossman RL, Grundhoff A, Gundem G, Guo Q, Gupta M, Gupta S, Gut IG, Gut M, Göke J, Ha G, Haake A, Haan D, Haas S, Haase K, Haber JE, Habermann N, Hach F, Haider S, Hama N, Hamdy FC, Hamilton A, Hamilton MP, Han L, Hanna GB, Hansmann M, Haradhvala NJ, Harismendy O, Harliwong I, Harmanci AO, Harrington E, Hasegawa T, Haussler D, Hawkins S, Hayami S, Hayashi S, Hayes DN, Hayes SJ, Hayward NK, Hazell S, He Y, Heath AP, Heath SC, Hedley D, Hegde AM, Heiman DI, Heinold MC, Heins Z, Heisler LE, Hellstrom-Lindberg E, Helmy M, Heo SG, Hepperla AJ, Heredia-Genestar JM, Herrmann C, Hersey P, Hess JM, Hilmarsdottir H, Hinton J, Hirano S, Hiraoka N, Hoadley KA, Hobolth A, Hodzic E, Hoell JI, Hoffmann S, Hofmann O, Holbrook A, Holik AZ, Hollingsworth MA, Holmes O, Holt RA, Hong C, Hong EP, Hong JH, Hooijer GK, Hornshøj H, Hosoda F, Hou Y, Hovestadt V, Howat W, Hoyle AP, Hruban RH, Hu J, Hu T, Hua X, Huang KL, Huang M, Huang MN, Huang V, Huang Y, Huber W, Hudson TJ, Hummel M, Hung JA, Huntsman D, Hupp TR, Huse J, Huska MR, Hutter B, Hutter CM, Hübschmann D, Iacobuzio-Donahue CA, Imbusch CD, Imielinski M, Imoto S, Isaacs WB, Isaev K, Ishikawa S, Iskar M, Islam SMA, Ittmann M, Ivkovic S, Izarzugaza JMG, Jacquemier J, Jakrot V, Jamieson NB, Jang GH, Jang SJ, Jayaseelan JC, Jayasinghe R, Jefferys SR, Jegalian K, Jennings JL, Jeon SH, Jerman L, Ji Y, Jiao W, Johansson PA, Johns AL, Johns J, Johnson R, Johnson TA, Jolly C, Joly Y, Jonasson JG, Jones CD, Jones DR, Jones DTW, Jones N, Jones SJM, Jonkers J, Ju YS, Juhl H, Jung J, Juul M, Juul RI, Juul S, Jäger N, Kabbe R, Kahles A, Kahraman A, Kaiser VB, Kakavand H, Kalimuthu S, von Kalle C, Kang KJ, Karaszi K, Karlan B, Karlić R, Karsch D, Kasaian K, Kassahn KS, Katai H, Kato M, Katoh H, Kawakami Y, Kay JD, Kazakoff SH, Kazanov MD, Keays M, Kebebew E, Kefford RF, Kellis M, Kench JG, Kennedy CJ, Kerssemakers JNA, Khoo D, Khoo V, Khuntikeo N, Khurana E, Kilpinen H, Kim HK, Kim HL, Kim HY, Kim H, Kim J, Kim J, Kim JK, Kim Y, King TA, Klapper W, Kleinheinz K, Klimczak LJ, Knappskog S, Kneba M, Knoppers BM, Koh Y, Komorowski J, Komura D, Komura M, Kong G, Kool M, Korbel JO, Korchina V, Korshunov A, Koscher M, Koster R, Kote-Jarai Z, Koures A, Kovacevic M, Kremeyer B, Kretzmer H, Kreuz M, Krishnamurthy S, Kube D, Kumar K, Kumar P, Kumar S, Kumar Y, Kundra R, Kübler K, Küppers R, Lagergren J, Lai PH, Laird PW, Lakhani SR, Lalansingh CM, Lalonde E, Lamaze FC, Lambert A, Lander E, Landgraf P, Landoni L, Langerød A, Lanzós A, Larsimont D, Larsson E, Lathrop M, Lau LMS, Lawerenz C, Lawlor RT, Lawrence MS, Lazar AJ, Lazic AM, Le X, Lee D, Lee D, Lee EA, Lee HJ, Lee JJK, Lee JY, Lee J, Lee MTM, Lee-Six H, Lehmann KV, Lehrach H, Lenze D, Leonard CR, Leongamornlert DA, Leshchiner I, Letourneau L, Letunic I, Levine DA, Lewis L, Ley T, Li C, Li CH, Li HI, Li J, Li L, Li S, Li S, Li X, Li X, Li X, Li Y, Liang H, Liang SB, Lichter P, Lin P, Lin Z, Linehan WM, Lingjærde OC, Liu D, Liu EM, Liu FFF, Liu F, Liu J, Liu X, Livingstone J, Livitz D, Livni N, Lochovsky L, Loeffler M, Long GV, Lopez-Guillermo A, Lou S, Louis DN, Lovat LB, Lu Y, Lu YJ, Lu Y, Luchini C, Lungu I, Luo X, Luxton HJ, Lynch AG, Lype L, López C, López-Otín C, Ma EZ, Ma Y, MacGrogan G, MacRae S, Macintyre G, Madsen T, Maejima K, Mafficini A, Maglinte DT, Maitra A, Majumder PP, Malcovati L, Malikic S, Malleo G, Mann GJ, Mantovani-Löffler L, Marchal K, Marchegiani G, Mardis ER, Margolin AA, Marin MG, Markowetz F, Markowski J, Marks J, Marques-Bonet T, Marra MA, Marsden L, Martens JWM, Martin S, Martin-Subero JI, Martincorena I, Martinez-Fundichely A, Maruvka YE, Mashl RJ, Massie CE, Matthew TJ, Matthews L, Mayer E, Mayes S, Mayo M, Mbabaali F, McCune K, McDermott U, McGillivray PD, McLellan MD, McPherson JD, McPherson JR, McPherson TA, Meier SR, Meng A, Meng S, Menzies A, Merrett ND, Merson S, Meyerson M, Meyerson W, Mieczkowski PA, Mihaiescu GL, Mijalkovic S, Mikkelsen T, Milella M, Mileshkin L, Miller CA, Miller DK, Miller JK, Mills GB, Milovanovic A, Minner S, Miotto M, Arnau GM, Mirabello L, Mitchell C, Mitchell TJ, Miyano S, Miyoshi N, Mizuno S, Molnár-Gábor F, Moore MJ, Moore RA, Morganella S, Morris QD, Morrison C, Mose LE, Moser CD, Muiños F, Mularoni L, Mungall AJ, Mungall K, Musgrove EA, Mustonen V, Mutch D, Muyas F, Muzny DM, Muñoz A, Myers J, Myklebost O, Möller P, Nagae G, Nagrial AM, Nahal-Bose HK, Nakagama H, Nakagawa H, Nakamura H, Nakamura T, Nakano K, Nandi T, Nangalia J, Nastic M, Navarro A, Navarro FCP, Neal DE, Nettekoven G, Newell F, Newhouse SJ, Newton Y, Ng AWT, Ng A, Nicholson J, Nicol D, Nie Y, Nielsen GP, Nielsen MM, Nik-Zainal S, Noble MS, Nones K, Northcott PA, Notta F, O’Connor BD, O’Donnell P, O’Donovan M, O’Meara S, O’Neill BP, O’Neill JR, Ocana D, Ochoa A, Oesper L, Ogden C, Ohdan H, Ohi K, Ohno-Machado L, Oien KA, Ojesina AI, Ojima H, Okusaka T, Omberg L, Ong CK, Ossowski S, Ott G, Ouellette BFF, P’ng C, Paczkowska M, Paiella S, Pairojkul C, Pajic M, Pan-Hammarström Q, Papaemmanuil E, Papatheodorou I, Paramasivam N, Park JW, Park JW, Park K, Park K, Park PJ, Parker JS, Parsons SL, Pass H, Pasternack D, Pastore A, Patch AM, Pauporté I, Pea A, Pearson JV. Author Correction: Genomic basis for RNA alterations in cancer. Nature 2023; 614:E37. [PMID: 36697831 PMCID: PMC9931574 DOI: 10.1038/s41586-022-05596-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
| | - Claudia Calabrese
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Natalie R. Davidson
- grid.5801.c0000 0001 2156 2780ETH Zurich, Zurich, Switzerland ,grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA ,grid.5386.8000000041936877XWeill Cornell Medical College, New York, NY USA ,grid.419765.80000 0001 2223 3006SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland ,grid.412004.30000 0004 0478 9977University Hospital Zurich, Zurich, Switzerland
| | - Deniz Demircioğlu
- grid.4280.e0000 0001 2180 6431National University of Singapore, Singapore, Singapore ,grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Singapore, Singapore
| | - Nuno A. Fonseca
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Yao He
- grid.11135.370000 0001 2256 9319Peking University, Beijing, China
| | - André Kahles
- grid.5801.c0000 0001 2156 2780ETH Zurich, Zurich, Switzerland ,grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA ,grid.419765.80000 0001 2223 3006SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland ,grid.412004.30000 0004 0478 9977University Hospital Zurich, Zurich, Switzerland
| | - Kjong-Van Lehmann
- grid.5801.c0000 0001 2156 2780ETH Zurich, Zurich, Switzerland ,grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA ,grid.419765.80000 0001 2223 3006SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland ,grid.412004.30000 0004 0478 9977University Hospital Zurich, Zurich, Switzerland
| | - Fenglin Liu
- grid.11135.370000 0001 2256 9319Peking University, Beijing, China
| | - Yuichi Shiraishi
- grid.26999.3d0000 0001 2151 536XThe University of Tokyo, Minato-ku, Japan
| | - Cameron M. Soulette
- grid.205975.c0000 0001 0740 6917University of California, Santa Cruz, Santa Cruz, CA USA
| | - Lara Urban
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Liliana Greger
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Siliang Li
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Dongbing Liu
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Marc D. Perry
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada ,grid.266102.10000 0001 2297 6811University of California, San Francisco, San Francisco, CA USA
| | - Qian Xiang
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Fan Zhang
- grid.11135.370000 0001 2256 9319Peking University, Beijing, China
| | - Junjun Zhang
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Peter Bailey
- grid.8756.c0000 0001 2193 314XUniversity of Glasgow, Glasgow, UK
| | - Serap Erkek
- grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Katherine A. Hoadley
- grid.10698.360000000122483208The University of North Carolina at Chapel Hill, Chapel Hill, NC USA
| | - Yong Hou
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Matthew R. Huska
- grid.419491.00000 0001 1014 0849Berlin Institute for Medical Systems Biology, Max Delbruck Center for Molecular Medicine, Berlin, Germany
| | - Helena Kilpinen
- grid.83440.3b0000000121901201University College London, London, UK
| | - Jan O. Korbel
- grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Maximillian G. Marin
- grid.205975.c0000 0001 0740 6917University of California, Santa Cruz, Santa Cruz, CA USA
| | - Julia Markowski
- grid.419491.00000 0001 1014 0849Berlin Institute for Medical Systems Biology, Max Delbruck Center for Molecular Medicine, Berlin, Germany
| | - Tannistha Nandi
- grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Singapore, Singapore
| | - Qiang Pan-Hammarström
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.4714.60000 0004 1937 0626Karolinska Institutet, Stockholm, Sweden
| | - Chandra Sekhar Pedamallu
- grid.66859.340000 0004 0546 1623Broad Institute, Cambridge, MA USA ,grid.65499.370000 0001 2106 9910Dana-Farber Cancer Institute, Boston, MA USA ,grid.38142.3c000000041936754XHarvard Medical School, Boston, MA USA
| | - Reiner Siebert
- grid.410712.10000 0004 0473 882XUlm University and Ulm University Medical Center, Ulm, Germany
| | - Stefan G. Stark
- grid.5801.c0000 0001 2156 2780ETH Zurich, Zurich, Switzerland ,grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA ,grid.419765.80000 0001 2223 3006SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland ,grid.412004.30000 0004 0478 9977University Hospital Zurich, Zurich, Switzerland
| | - Hong Su
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Patrick Tan
- grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Singapore, Singapore ,grid.428397.30000 0004 0385 0924Duke-NUS Medical School, Singapore, Singapore
| | - Sebastian M. Waszak
- grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Christina Yung
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Shida Zhu
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Philip Awadalla
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada ,grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada
| | - Chad J. Creighton
- grid.39382.330000 0001 2160 926XBaylor College of Medicine, Houston, TX USA
| | - Matthew Meyerson
- grid.66859.340000 0004 0546 1623Broad Institute, Cambridge, MA USA ,grid.65499.370000 0001 2106 9910Dana-Farber Cancer Institute, Boston, MA USA ,grid.38142.3c000000041936754XHarvard Medical School, Boston, MA USA
| | | | - Kui Wu
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Huanming Yang
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China
| | | | - Alvis Brazma
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.
| | - Angela N. Brooks
- grid.205975.c0000 0001 0740 6917University of California, Santa Cruz, Santa Cruz, CA USA ,grid.66859.340000 0004 0546 1623Broad Institute, Cambridge, MA USA ,grid.65499.370000 0001 2106 9910Dana-Farber Cancer Institute, Boston, MA USA
| | - Jonathan Göke
- grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Singapore, Singapore ,grid.410724.40000 0004 0620 9745National Cancer Centre Singapore, Singapore, Singapore
| | - Gunnar Rätsch
- ETH Zurich, Zurich, Switzerland. .,Memorial Sloan Kettering Cancer Center, New York, NY, USA. .,Weill Cornell Medical College, New York, NY, USA. .,SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland. .,University Hospital Zurich, Zurich, Switzerland.
| | - Roland F. Schwarz
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK ,grid.419491.00000 0001 1014 0849Berlin Institute for Medical Systems Biology, Max Delbruck Center for Molecular Medicine, Berlin, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Consortium (DKTK), partner site Berlin, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Oliver Stegle
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK ,grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Zemin Zhang
- grid.11135.370000 0001 2256 9319Peking University, Beijing, China
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6
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Mugabe M, Ho KE, Ruhangaza D, Milner D, Rugwizangoga B, Chu VC, Wu NC, Rizo A, Weidler JM, Wong W, Bates M, Brock JE. Use of the Xpert Breast Cancer STRAT4 for Biomarker Evaluation in Tissue Processed in a Developing Country. Am J Clin Pathol 2021; 156:766-776. [PMID: 34050358 PMCID: PMC8512210 DOI: 10.1093/ajcp/aqab016] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Objectives Breast cancer immunohistochemistry (IHC) biomarker testing is limited in low-resource settings, and an alternative solution is needed. A point-of-care mRNA STRAT4 breast cancer assay for ESR1, PGR, ERBB2, and MKi67, for use on the GeneXpert platform, has been recently validated on tissues from internationally accredited laboratories, showing excellent concordance with IHC. Methods We evaluated STRAT4/IHC ESR1/estrogen receptor (ER), ERBB2/human epidermal growth factor receptor 2 (HER2) concordance rates of 150 breast cancer tissues processed in Rwanda, with undocumented cold ischemic and fixation time. Results Assay fail/indeterminate rate was 2.6% for ESR1 and ERBB2. STRAT4 agreement with ER IHC was 92.5% to 93.3% and 97.8% for HER2, for standard (1x) and concentrated (4x) reagent-conserving protocols, respectively. Eleven of 12 discordant ER/ESR1 cases were ESR1- negative/IHC-positive. These had low expression of ER by IHC in mostly very small tumor areas tested (7/12; <25 mm2). In two of three discordant HER2 cases, the STRAT4-ERBB2 result correlated with the subsequent fluorescence in situ hybridization (FISH) result. STRAT4-ERBB2 results in 9 of 10 HER2-IHC equivocal cases were concordant with FISH. Conclusions The STRAT4 assay is an alternative for providing quality-controlled breast cancer biomarker data in laboratories unable to provide quality and/or cost-efficient IHC services.
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Affiliation(s)
| | - Kenneth E Ho
- Division of Oncology Research & Development, Cepheid, Sunnyvale, CA, USA
| | | | - Dan Milner
- American Society for Clinical Pathology, Chicago, IL, USA
| | | | - Victor C Chu
- Division of Oncology Research & Development, Cepheid, Sunnyvale, CA, USA
| | - Natalie C Wu
- Division of Oncology Research & Development, Cepheid, Sunnyvale, CA, USA
| | - Annaliza Rizo
- Division of Oncology Research & Development, Cepheid, Sunnyvale, CA, USA
| | - Jodi M Weidler
- Division of Oncology Research & Development, Cepheid, Sunnyvale, CA, USA
| | - Wendy Wong
- Division of Oncology Research & Development, Cepheid, Sunnyvale, CA, USA
| | - Michael Bates
- Division of Oncology Research & Development, Cepheid, Sunnyvale, CA, USA
| | - Jane E Brock
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA, USA
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7
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LeJeune A, Brock JE, Morgan EA, Kasten JL, Martei YM, Fadelu T, Rinder HM, Goulart R, Shulman LN, Milner DA. Harmonization of the Essentials: Matching Diagnostics to Treatments for Global Oncology. JCO Glob Oncol 2021; 6:1352-1356. [PMID: 32886559 PMCID: PMC7529511 DOI: 10.1200/go.20.00338] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Affiliation(s)
- Analise LeJeune
- Center for Global Health, American Society for Clinical Pathology, Chicago, IL
| | - Jane E Brock
- Department of Pathology, Brigham and Women's Hospital, Boston, MA.,Harvard Medical School, Boston, MA
| | - Elizabeth A Morgan
- Department of Pathology, Brigham and Women's Hospital, Boston, MA.,Harvard Medical School, Boston, MA
| | - Jennifer L Kasten
- Department of Pathology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Yehoda M Martei
- Department of Medicine, Division of Hematology-Oncology, University of Pennsylvania, Philadelphia, PA
| | | | | | - Robert Goulart
- New England Pathology Associates, Trinity Health of New England, Springfield, MA
| | - Lawrence N Shulman
- Department of Medicine, Division of Hematology-Oncology, University of Pennsylvania, Philadelphia, PA
| | - Danny A Milner
- Center for Global Health, American Society for Clinical Pathology, Chicago, IL.,Harvard Medical School, Boston, MA
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Anglade F, Milner DA, Brock JE. Can pathology diagnostic services for cancer be stratified and serve global health? Cancer 2021; 126 Suppl 10:2431-2438. [PMID: 32348564 DOI: 10.1002/cncr.32872] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 02/06/2020] [Accepted: 03/11/2020] [Indexed: 11/10/2022]
Abstract
BACKGROUND Before initiating cancer therapy, a diagnostic tumor tissue sample evaluated within a pathology laboratory by a pathologist is essential to confirm the malignancy type and provide key prognostic factors that direct the treatment offered. METHODS Pathology evaluation includes multiple expensive reagents, complex equipment, and both laboratory and pathologist technical skills. By using breast cancer as an example, at a minimum, key tumor prognostic information required before the initiation of treatment includes subtype, tumor grade, tumor size, lymph node status when possible, and biomarker expression determined by immunohistochemistry for estrogen receptor. The additional determination of biomarker expression of progesterone receptor and human epidermal growth factor receptor (HER2) is the standard of care in high-resource settings, but assays may not be affordable in low-income and middle-income countries. RESULTS With positive tests, patients are eligible for either tamoxifen (for estrogen receptor-positive/progesterone receptor-positive cancers) or monoclonal antibody therapy (for HER2-positive cancers). For settings in which endocrine therapy and/or HER2-targeted therapy is unavailable, biomarker studies have no utility, and high-resource setting standards for pathology evaluation and reporting are unachievable. Resource-stratified pathology evaluation guidelines in cancer diagnosis have not been developed, in contrast to excellent comprehensive, resource-stratified clinical guidelines for use in low-income and middle-income countries, and these are long overdue. CONCLUSIONS The challenges of pathology evaluation in the context of global health are being met by innovative solutions, which may change the face of pathology practice.
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Affiliation(s)
- Fabienne Anglade
- Department of Pathology, Mirebalais Teaching Hospital, Mirebalais, Haiti
| | - Danny A Milner
- American Society for Clinical Pathology, Chicago, Illinois
| | - Jane E Brock
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
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Tolaney SM, Ziehr DR, Guo H, Ng MR, Barry WT, Higgins MJ, Isakoff SJ, Brock JE, Ivanova EV, Paweletz CP, Demeo MK, Ramaiya NH, Overmoyer BA, Jain RK, Winer EP, Duda DG. Phase II and Biomarker Study of Cabozantinib in Metastatic Triple-Negative Breast Cancer Patients. Oncologist 2021; 26:e1483. [PMID: 33978307 DOI: 10.1002/onco.13809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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10
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DeSimone MS, DeSimone AK, Sun EX, Laur O, Miskin NP, Brock JE, Matalon SA. Cross-Residency Radiologic/Pathologic Correlation Curriculum: Teaching Correlation of Surgical Specimens With Imaging. Acad Pathol 2020; 7:2374289520939258. [PMID: 32733994 PMCID: PMC7370337 DOI: 10.1177/2374289520939258] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 06/05/2020] [Accepted: 06/08/2020] [Indexed: 11/30/2022] Open
Abstract
The College of American Pathologists expects pathologists to attain competency in radiologic/pathologic correlation, including correlation of histopathologic findings with imaging findings. While pathology residents appreciate the importance of radiologic/pathologic correlation, their lack of experience and confidence in interpreting imaging studies deters them from obtaining specimen radiographs and reviewing preoperative imaging studies. Formal training in this domain is lacking. A cross-residency curriculum was developed to help pathology residents build basic skills in the correlation of surgical specimens with preoperative imaging and specimen radiographs. Didactic sessions were prepared by 3 pairs of radiology and pathology residents with guidance from radiology and pathology attendings in the subspecialty areas of breast, musculoskeletal, and head and neck. The authors describe the development, implementation, and assessment of the curriculum. A total of 20 pathology residents attended the sessions, with 7 completing both the pre- and postintervention surveys. These residents gained confidence in their ability to interpret specimen radiographs and to select specimens to evaluate with radiography. They gained an appreciation of the importance of collaboration with radiologists in evaluating specimens and of viewing preoperative imaging studies to guide gross examination and dissection. They reported obtaining specimen radiographs and viewing preoperative imaging studies more frequently after attending the sessions. Innovative solutions such as this cross-residency educational initiative offer a potential solution to fulfill the radiologic/pathologic correlation competency standard for pathology residents and may be replicable by other residency programs and academic institutions.
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Affiliation(s)
- Mia S DeSimone
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ariadne K DeSimone
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ellen X Sun
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Olga Laur
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Nityanand P Miskin
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jane E Brock
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Shanna A Matalon
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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Aaltonen LA, Abascal F, Abeshouse A, Aburatani H, Adams DJ, Agrawal N, Ahn KS, Ahn SM, Aikata H, Akbani R, Akdemir KC, Al-Ahmadie H, Al-Sedairy ST, Al-Shahrour F, Alawi M, Albert M, Aldape K, Alexandrov LB, Ally A, Alsop K, Alvarez EG, Amary F, Amin SB, Aminou B, Ammerpohl O, Anderson MJ, Ang Y, Antonello D, Anur P, Aparicio S, Appelbaum EL, Arai Y, Aretz A, Arihiro K, Ariizumi SI, Armenia J, Arnould L, Asa S, Assenov Y, Atwal G, Aukema S, Auman JT, Aure MRR, Awadalla P, Aymerich M, Bader GD, Baez-Ortega A, Bailey MH, Bailey PJ, Balasundaram M, Balu S, Bandopadhayay P, Banks RE, Barbi S, Barbour AP, Barenboim J, Barnholtz-Sloan J, Barr H, Barrera E, Bartlett J, Bartolome J, Bassi C, Bathe OF, Baumhoer D, Bavi P, Baylin SB, Bazant W, Beardsmore D, Beck TA, Behjati S, Behren A, Niu B, Bell C, Beltran S, Benz C, Berchuck A, Bergmann AK, Bergstrom EN, Berman BP, Berney DM, Bernhart SH, Beroukhim R, Berrios M, Bersani S, Bertl J, Betancourt M, Bhandari V, Bhosle SG, Biankin AV, Bieg M, 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L, Yang L, Yang S, Yang TP, Yang Y, Yao X, Yaspo ML, Yates L, Yau C, Ye C, Ye K, Yellapantula VD, Yoon CJ, Yoon SS, Yousif F, Yu J, Yu K, Yu W, Yu Y, Yuan K, Yuan Y, Yuen D, Yung CK, Zaikova O, Zamora J, Zapatka M, Zenklusen JC, Zenz T, Zeps N, Zhang CZ, Zhang F, Zhang H, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Zhang X, Zhang X, Zhang Y, Zhang Z, Zhao Z, Zheng L, Zheng X, Zhou W, Zhou Y, Zhu B, Zhu H, Zhu J, Zhu S, Zou L, Zou X, deFazio A, van As N, van Deurzen CHM, van de Vijver MJ, van’t Veer L, von Mering C. Pan-cancer analysis of whole genomes. Nature 2020; 578:82-93. [PMID: 32025007 PMCID: PMC7025898 DOI: 10.1038/s41586-020-1969-6] [Citation(s) in RCA: 1435] [Impact Index Per Article: 358.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2018] [Accepted: 12/11/2019] [Indexed: 02/07/2023]
Abstract
Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled systematic documentation of this variation at the whole-genome scale1-3. Here we report the integrative analysis of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). We describe the generation of the PCAWG resource, facilitated by international data sharing using compute clouds. On average, cancer genomes contained 4-5 driver mutations when combining coding and non-coding genomic elements; however, in around 5% of cases no drivers were identified, suggesting that cancer driver discovery is not yet complete. Chromothripsis, in which many clustered structural variants arise in a single catastrophic event, is frequently an early event in tumour evolution; in acral melanoma, for example, these events precede most somatic point mutations and affect several cancer-associated genes simultaneously. Cancers with abnormal telomere maintenance often originate from tissues with low replicative activity and show several mechanisms of preventing telomere attrition to critical levels. Common and rare germline variants affect patterns of somatic mutation, including point mutations, structural variants and somatic retrotransposition. A collection of papers from the PCAWG Consortium describes non-coding mutations that drive cancer beyond those in the TERT promoter4; identifies new signatures of mutational processes that cause base substitutions, small insertions and deletions and structural variation5,6; analyses timings and patterns of tumour evolution7; describes the diverse transcriptional consequences of somatic mutation on splicing, expression levels, fusion genes and promoter activity8,9; and evaluates a range of more-specialized features of cancer genomes8,10-18.
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Iorgulescu JB, Freedman RA, Lester SC, Mittendorf EA, Brock JE. 21-Gene Recurrence Score Adds Significant Value for Grade 3 Breast Cancers: Results From a National Cohort. JCO Precis Oncol 2019; 3. [PMID: 32457931 DOI: 10.1200/po.19.00029] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
PURPOSE The 21-gene recurrence score (RS) is used to identify patients with hormone receptor-positive early-stage breast cancer who may benefit from the addition of chemotherapy to endocrine therapy. We hypothesized that many women with poor prognostic histopathologic grade 3 disease may be offered chemotherapy irrespective of RS results, of whom a subset may not benefit from adjuvant chemotherapy. PATIENTS AND METHODS A total of 30,864 women in the National Cancer Database were diagnosed with pT1c to pT2, pN0 to pN1, grade 3 estrogen receptor-positive, human epidermal growth factor receptor 2-negative invasive breast carcinoma from 2010 to 2015. RS was stratified as low (less than 18), intermediate (18 to 30), and high (31 or more). Overall survival by RS was evaluated by Kaplan-Meier, log-rank, and multivariable proportional hazards, with adjustment for relevant clinical and demographic variables. RESULTS RS testing in grade 3 cancers increased between 2010 and 2015 (pN0, 53% to 72%; pN1, 16% to 36%). Among the 13,558 women with pN0 and the 2,840 with pN1 disease with RS testing, 27.1% and 30.0%, respectively, had low scores (less than 18). The 5-year overall survival rate for patients with a high RS, but not low RS, was significantly higher with chemotherapy (v no chemotherapy; absolute differences: high RS pN0 = 12.2% and pN1 = 25.5%, both P < .001; low RS pN0 = 2.5%, P = .07; and pN1 = 1.0%, P = .27), findings that were reinforced in multivariable analyses risk adjusted by clinicopathologic characteristics. CONCLUSION Increased use of RS may help to better tailor treatment recommendations by stratifying patients with grade 3 disease into those who will and will not derive survival benefit and should be considered in all patients with estrogen receptor-positive/human epidermal growth factor receptor 2-negative T1c to T2, N0 to N1 disease.
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Affiliation(s)
- J Bryan Iorgulescu
- Brigham and Women's Hospital, Boston, MA.,Harvard Medical School, Boston, MA.,Dana-Farber Cancer Institute, Boston, MA
| | - Rachel A Freedman
- Harvard Medical School, Boston, MA.,Dana-Farber Cancer Institute, Boston, MA
| | - Susan C Lester
- Brigham and Women's Hospital, Boston, MA.,Harvard Medical School, Boston, MA
| | | | - Jane E Brock
- Brigham and Women's Hospital, Boston, MA.,Harvard Medical School, Boston, MA
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Jencks SF, Schuster A, Dougherty GB, Gerovich S, Brock JE, Kind AJH. Safety-Net Hospitals, Neighborhood Disadvantage, and Readmissions Under Maryland's All-Payer Program: An Observational Study. Ann Intern Med 2019; 171:91-98. [PMID: 31261378 PMCID: PMC6736732 DOI: 10.7326/m16-2671] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Safety-net hospitals have higher-than-expected readmission rates. The relative roles of the mean disadvantage of neighborhoods the hospitals serve and the disadvantage of individual patients in predicting a patient's readmission are unclear. OBJECTIVE To examine the independent contributions of the patient's neighborhood and the hospital's service area to risk for 30-day readmission. DESIGN Retrospective observational study. SETTING Maryland. PARTICIPANTS All Maryland residents discharged from a Maryland hospital in 2015. MEASUREMENTS Predictors included the disadvantage of neighborhoods for each Maryland resident (area disadvantage index) and the mean disadvantage of each hospital's discharged patients (safety-net index). The primary outcome was unplanned 30-day hospital readmission. Generalized estimating equations and marginal modeling were used to estimate readmission rates. Results were adjusted for clinical readmission risk. RESULTS 13.4% of discharged patients were readmitted within 30 days. Patients living in neighborhoods at the 90th percentile of disadvantage had a readmission rate of 14.1% (95% CI, 13.6% to 14.5%) compared with 12.5% (CI, 11.8% to 13.2%) for similar patients living in neighborhoods at the 10th percentile. Patients discharged from hospitals at the 90th percentile of safety-net status had a readmission rate of 14.8% (CI, 13.4% to 16.1%) compared with 11.6% (CI, 10.5% to 12.7%) for similar patients discharged from hospitals at the 10th percentile of safety-net status. The association of readmission risk with the hospital's safety-net index was approximately twice the observed association with the patient's neighborhood disadvantage status. LIMITATIONS Generalizability outside Maryland is unknown. Confounding may be present. CONCLUSION In Maryland, residing in a disadvantaged neighborhood and being discharged from a hospital serving a large proportion of disadvantaged neighborhoods are independently associated with increased risk for readmission. PRIMARY FUNDING SOURCE National Institute on Minority Health and Health Disparities and Maryland Health Services Cost Review Commission.
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Affiliation(s)
| | - Alyson Schuster
- Maryland Health Services Cost Review Commission, Baltimore, Maryland (A.S., G.B.D.)
| | - Geoff B Dougherty
- Maryland Health Services Cost Review Commission, Baltimore, Maryland (A.S., G.B.D.)
| | - Sule Gerovich
- Mathematica Policy Research, Woodlawn, Maryland (S.G.)
| | - Jane E Brock
- Telligen Colorado, Greenwood Village, Colorado (J.E.B.)
| | - Amy J H Kind
- University of Wisconsin School of Medicine and Public Health and Geriatric Research Education and Clinical Center (GRECC), William S. Middleton Hospital, U.S. Department of Veterans Affairs, Madison, Wisconsin (A.J.K.)
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Nik-Zainal S, Davies H, Staaf J, Ramakrishna M, Glodzik D, Zou X, Martincorena I, Alexandrov LB, Martin S, Wedge DC, Van Loo P, Ju YS, Smid M, Brinkman AB, Morganella S, Aure MR, Lingjærde OC, Langerød A, Ringnér M, Ahn SM, Boyault S, Brock JE, Broeks A, Butler A, Desmedt C, Dirix L, Dronov S, Fatima A, Foekens JA, Gerstung M, Hooijer GKJ, Jang SJ, Jones DR, Kim HY, King TA, Krishnamurthy S, Lee HJ, Lee JY, Li Y, McLaren S, Menzies A, Mustonen V, O’Meara S, Pauporté I, Pivot X, Purdie CA, Raine K, Ramakrishnan K, Rodríguez-González FG, Romieu G, Sieuwerts AM, Simpson PT, Shepherd R, Stebbings L, Stefansson OA, Teague J, Tommasi S, Treilleux I, Van den Eynden GG, Vermeulen P, Vincent-Salomon A, Yates L, Caldas C, van’t Veer L, Tutt A, Knappskog S, Tan BKT, Jonkers J, Borg Å, Ueno NT, Sotiriou C, Viari A, Futreal PA, Campbell PJ, Span PN, Van Laere S, Lakhani SR, Eyfjord JE, Thompson AM, Birney E, Stunnenberg HG, van de Vijver MJ, Martens JWM, Børresen-Dale AL, Richardson AL, Kong G, Thomas G, Stratton MR. Author Correction: Landscape of somatic mutations in 560 breast cancer whole-genome sequences. Nature 2019; 566:E1. [DOI: 10.1038/s41586-019-0883-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Metzger-Filho O, Ferreira AR, Jeselsohn R, Barry WT, Dillon DA, Brock JE, Vaz-Luis I, Hughes ME, Winer EP, Lin NU. Mixed Invasive Ductal and Lobular Carcinoma of the Breast: Prognosis and the Importance of Histologic Grade. Oncologist 2018; 24:e441-e449. [PMID: 30518616 DOI: 10.1634/theoncologist.2018-0363] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Accepted: 08/31/2018] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND The diagnosis of mixed invasive ductal and lobular carcinoma (IDC-L) in clinical practice is often associated with uncertainty related to its prognosis and response to systemic therapies. With the increasing recognition of invasive lobular carcinoma (ILC) as a distinct disease subtype, questions surrounding IDC-L become even more relevant. In this study, we took advantage of a detailed clinical database to compare IDC-L and ILC regarding clinicopathologic and treatment characteristics, prognostic power of histologic grade, and survival outcomes. MATERIALS AND METHODS In this retrospective cohort study, we identified 811 patients diagnosed with early-stage breast cancer with IDC-L or ILC. Descriptive statistics were performed to compare baseline clinicopathologic characteristics and treatments. Survival rates were subsequently analyzed using the Kaplan-Meier method and compared using the Cox proportional hazards model. RESULTS Patients with ILC had more commonly multifocal disease, low to intermediate histologic grade, and HER2-negative disease. Histologic grade was prognostic for patients with IDC-L but had no significant discriminatory power in patients with ILC. Among postmenopausal women, those with IDC-L had significantly better outcomes when compared with those with ILC: disease-free survival (DFS) and overall survival (OS; adjusted hazard ratio [HR], 0.54; 95% confidence interval [CI] 0.31-0.95). Finally, postmenopausal women treated with an aromatase inhibitor had more favorable DFS and OS than those treated with tamoxifen only (OS adjusted HR, 0.50; 95% CI, 0.29-0.87), which was similar for both histologic types (p = .212). CONCLUSION IDC-L tumors have a better prognosis than ILC tumors, particularly among postmenopausal women. Histologic grade is an important prognostic factor in IDC-L but not in ILC. IMPLICATIONS FOR PRACTICE This study compared mixed invasive ductal and lobular carcinoma (IDC-L) with invasive lobular carcinomas (ILCs) to assess the overall prognosis, the prognostic role of histologic grade, and response to systemic therapy. It was found that patients with IDC-L tumors have a better prognosis than ILC, particularly among postmenopausal women, which may impact follow-up strategies. Moreover, although histologic grade failed to stratify the risk of ILC, it showed an important prognostic power in IDC-L, thus highlighting its clinical utility to guide treatment decisions of IDC-L. Finally, the disease-free survival advantage of adjuvant aromatase inhibitors over tamoxifen in ILC was consistent in IDC-L.
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Affiliation(s)
- Otto Metzger-Filho
- Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Arlindo R Ferreira
- Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Hospital de Santa Maria and Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Rinath Jeselsohn
- Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - William T Barry
- Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Deborah A Dillon
- Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Jane E Brock
- Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Ines Vaz-Luis
- Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Melissa E Hughes
- Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Eric P Winer
- Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Nancy U Lin
- Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, Massachusetts, USA
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Natsuhara KH, Losk K, King TA, Lin NU, Camuso K, Golshan M, Pochebit S, Brock JE, Bunnell CA, Freedman RA. Impact of Genomic Assay Testing and Clinical Factors on Chemotherapy Use After Implementation of Standardized Testing Criteria. Oncologist 2018; 24:595-602. [PMID: 30076279 DOI: 10.1634/theoncologist.2018-0154] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Accepted: 06/14/2018] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND For clinically appropriate early-stage breast cancer patients, reflex criteria for Oncotype DX ordering ("the intervention") were implemented at our comprehensive cancer center, which reduced time-to-adjuvant chemotherapy initiation. Our objective was to evaluate Oncotype DX ordering practices and chemotherapy use before and after implementation of the intervention. MATERIALS AND METHODS We examined medical records for 498 patients who had definitive breast cancer surgery at our center. The post-intervention cohort consisted of 232 consecutive patients who had Oncotype DX testing after reflex criteria implementation. This group was compared to a retrospective cohort of 266 patients who were diagnosed and treated prior to reflex criteria implementation, including patients who did and did not have Oncotype DX ordered. Factors associated with Oncotype DX ordering pre- and post-intervention were examined. We used multivariate logistic regression to evaluate factors associated with chemotherapy receipt among patients with Oncotype DX testing. RESULTS The distribution of Oncotype DX scores, the proportion of those having Oncotype DX testing (28.9% vs. 34.1%) and those receiving chemotherapy (14.3% vs. 19.4%), did not significantly change between pre- and post-intervention groups. Age ≤65 years, stage II, grade 2, 1-3+ nodes, and tumor size >2 cm were associated with higher odds of Oncotype DX testing. Among patients having Oncotype DX testing, node status and Oncotype DX scores were significantly associated with chemotherapy receipt. CONCLUSION Our criteria for reflex Oncotype DX ordering appropriately targeted patients for whom Oncotype DX would typically be ordered by providers. No significant change in the rate of Oncotype DX ordering or chemotherapy use was observed after reflex testing implementation. IMPLICATIONS FOR PRACTICE This study demonstrates that implementing multidisciplinary consensus reflex criteria for Oncotype DX ordering maintains a stable Oncotype DX ordering rate and chemotherapy rate, mirroring what was observed in a specific clinical practice, while decreasing treatment delays due to additional testing. These reflex criteria appropriately capture patients who would likely have had Oncotype DX ordered by their providers and for whom the test results are predicted to influence management. This intervention serves as a potential model for other large integrated, multidisciplinary oncology centers to institute processes targeting patient populations most likely to benefit from genomic assay testing, while mitigating treatment delays.
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Affiliation(s)
| | - Katya Losk
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Tari A King
- Surgical Oncology, Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, Massachusetts, USA
| | - Nancy U Lin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Kristen Camuso
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Mehra Golshan
- Surgical Oncology, Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, Massachusetts, USA
| | - Stephen Pochebit
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Jane E Brock
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Craig A Bunnell
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Rachel A Freedman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
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Waks AG, Stover DG, Barry WT, Dillon DA, Gjini E, Rodig SJ, Brock JE, Baltay M, Savoie J, Winer EP, Krop IE, Tolaney SM. Abstract 4564: The immune microenvironment in hormone receptor-positive breast cancer and treatment outcome following preoperative chemotherapy plus bevacizumab. Cancer Res 2018. [DOI: 10.1158/1538-7445.am2018-4564] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Hormone receptor-positive (HR+) breast cancers (BC) have fewer tumor-infiltrating lymphocytes (TILs) and lower response rates to immune checkpoint inhibitors in early phase studies than other breast cancer subtypes. Immune biomarkers that accurately reflect the immune microenvironment have important clinical implications in HR+ BC patients. Prior evidence suggests that macrophage-related immune pathways may be relevant to the pathophysiology of HR+ BC.
Methods: Patients identified from a prospective trial of preoperative bevacizumab (preop bev) followed by bev with adriamycin/cyclophosphamide/paclitaxel dose-dense chemotherapy (chemo). Tumor samples were collected at diagnosis and surgery (pre-tx and post-tx). TILs and immunohistochemical staining for PD-L1, CD8, and CD68 were scored. Whole transcriptome sequencing (RNAseq) and Nanostring PanCancer Immune Profiling Panel were performed. Pathologic response at surgery was assessed by Miller-Payne (MP) and residual cancer burden (RCB) scores. An immune score was calculated for each pre-tx specimen by integrating 10 published immune signatures. Immune cell subsets were inferred from bulk transcriptional data using CIBERSORT.
Results: 55 patients had at least 1 evaluable specimen and were included for analysis. 18% of pre-tx tumors had ‘high' (≥10%) TILs and ‘high' TILs were associated with significantly higher immune signature score (p=0.004). Immune score correlated highly with proportion of CIBERSORT anti-tumor M1 macrophage and CD8 T-cell signatures (r>0.65 and p<0.001) and was significantly associated with RCB. Higher pre-tx TILs, tPD-L1, sPD-L1, CD8, and CD68 were associated with favorable RCB significantly associated with more favorable RCB after adjustment for tumor size and grade. Pathologic complete response occurred in 4 pts; all 4 had high pre-tx TILs, pre-tx tPD-L1, or both. Among patients with residual disease, there were significantly fewer TILs and CD8 cells after chemotherapy (Wilcoxon signed rank p=0.037 and p=0.002, respectively), however tPD-L1 and CD68 were not significantly different. Nanostring analyses demonstrated that chemokines and complement pathway components were among most significantly enriched post-tx relative to pre-tx.
Conclusions: Most HR+/HER2- breast tumors demonstrate low levels of anti-tumor immune activity; however, those with higher levels have a more favorable response to chemo plus bev. Assessment of immune activity based on RNA signatures is consistent with histology and immune-related protein expression. T-cell- and checkpoint-related biomarkers tend to decrease following preoperative chemo plus bev in HR+/HER2- breast cancer. Following treatment with chemotherapy/bevacizumab, we observe increased expression of chemokines and complement pathway genes.
Citation Format: Adrienne G. Waks, Daniel G. Stover, William T. Barry, Deborah A. Dillon, Evisa Gjini, Scott J. Rodig, Jane E. Brock, Michele Baltay, Jennifer Savoie, Eric P. Winer, Ian E. Krop, Sara M. Tolaney. The immune microenvironment in hormone receptor-positive breast cancer and treatment outcome following preoperative chemotherapy plus bevacizumab [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4564.
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Affiliation(s)
| | - Daniel G. Stover
- 2Ohio State University Comprehensive Cancer Center, Columbus, OH
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Abstract
OBJECTIVES Management of the axilla in breast cancer patients has evolved considerably since the introduction of the sentinel lymph node (SLN) biopsy in the 1990s. Several new clinical and technological developments in the last decade warrant special consideration due to their impact on pathology practice. METHODS This review covers the SLN biopsy procedure, issues in the histopathologic and molecular diagnosis of the SLN, and most importantly, evidence from recent practice-changing clinical trials. RESULTS ACOSOG Z0011, IBCSG 23-01, and AMAROS trials have shown that early-stage breast cancer patients who have limited metastatic involvement of the SLNs do not benefit from completion axillary dissections. CONCLUSIONS It is not necessary for pathologists to search for all small metastases to predict non-SLN involvement, regional recurrence, or death due to disease. Processing should be designed with the goal of detecting macrometastases. Multiple levels, routine immunohistochemistry, and molecular testing are not recommended.
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Affiliation(s)
- Beth T Harrison
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA
| | - Jane E Brock
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA
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Abstract
Breast cancer is the leading cause of cancer mortality among women in developing countries. Timely and accurate histopathological diagnosis of breast cancer is critical to delivering high-quality breast cancer care to patients in low- and middle-income countries (LMIC). The most important prognostic factors in breast cancer along with tumor size and nodal status are tumor grade, estrogen receptor status, as well as HER2 status in countries where specific targeted therapies are available. In addition, detailed and complete cancer registry data are needed to assess a country's disease burden and guide disease prioritization and allocation of resources for breast cancer treatment. Innovations in leapfrog technology and low-cost point-of-care tests for molecular evaluations are needed to provide accurate and timely pathology, with the ultimate goal of improving survival outcomes for patients with breast cancer in LMIC.
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Affiliation(s)
- Yehoda M Martei
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Abramson Cancer Center, 3400 Civic Center Boulevard, Philadelphia, PA 19106 USA
| | - Lydia E Pace
- Division of Women's Health, Department of Medicine, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA
| | - Jane E Brock
- Department of Pathology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA
| | - Lawrence N Shulman
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Abramson Cancer Center, 3400 Civic Center Boulevard, Philadelphia, PA 19106 USA.
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Guilbert MC, Frost EP, Brock JE, Lester SC. Distinguishing papillary endothelial hyperplasia and angiosarcoma on core needle biopsy of the breast: The importance of clinical and radiologic correlation. Breast J 2018; 24:487-492. [DOI: 10.1111/tbj.13006] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2017] [Revised: 02/21/2017] [Accepted: 07/20/2017] [Indexed: 11/30/2022]
Affiliation(s)
- Marie-Christine Guilbert
- Department of Pathology; Brigham and Women's Hospital; Boston MA USA
- Harvard Medical School; Boston MA USA
| | - Elisabeth P. Frost
- Harvard Medical School; Boston MA USA
- Department of Radiology; Brigham and Women's Hospital; Boston MA USA
| | - Jane E. Brock
- Department of Pathology; Brigham and Women's Hospital; Boston MA USA
- Harvard Medical School; Boston MA USA
| | - Susan C. Lester
- Department of Pathology; Brigham and Women's Hospital; Boston MA USA
- Harvard Medical School; Boston MA USA
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Stover DG, Gil Del Alcazar CR, Tolaney SM, Bardia A, Guo H, Balko JM, Overmoyer BA, Gelman RS, Lloyd M, Wang V, Brock JE, Winer EP, Polyak K, Lin NU. Abstract P5-21-10: Phase 2 study and correlative analyses of ruxolitinib, a selective JAK1/2 inhibitor, in patients with metastatic, triple-negative breast cancer. Cancer Res 2018. [DOI: 10.1158/1538-7445.sabcs17-p5-21-10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Preclinical data supports a role for the IL-6/JAK2/STAT3 signaling pathway in breast cancer (BC). Ruxolitinib is an orally bioavailable receptor tyrosine inhibitor targeting JAK1 and JAK2. We evaluated the safety and efficacy of ruxolitinib in patients with metastatic BC and performed correlative analyses.
Methods: This was a non-randomized, phase 2 study of patients with refractory, metastatic, triple-negative BC (TNBC). Patients with inflammatory BC (IBC) of any subtype were also enrolled. The primary endpoint was objective response by RECIST 1.1. Secondary endpoints included progression-free survival (PFS), overall survival (OS), and toxicity. The study was designed to enroll only patients whose archival tumor tissue was pSTAT3 moderately to strongly positive in the tumor epithelial cells by central immunohistochemistry (IHC). 16 patients underwent pre-treatment biopsy, of whom 4 also had a second biopsy prior to cycle 2. Biopsy samples and paired primary tumor samples (when available) were subjected to multi-color immunofluorescence and/or immune-FISH for leukocyte markers, pSTAT3, and JAK2. RNA sequencing was performed on available on-study frozen biopsy specimens. 17 patients had plasma collected with cell-free DNA (cfDNA) extracted and subjected to low coverage whole-genome sequencing.
Results: Of 217 patients who consented to archival tumor testing, T-score for pSTAT3 was 'high' (>5) in 69 patients (31.8%), demonstrating frequent activation of the JAK/STAT pathway in metastatic TNBC or IBC. 23 pSTAT3 high patients were enrolled. Ruxolitinib was generally well-tolerated. The most commonly observed adverse events (any grade) were anemia, neutropenia, thrombocytopenia, constipation, nausea, and increased AST/ALT. Grade 3 or higher toxicities were uncommon. No objective responses were seen among 21 evaluable patients, therefore the study was closed to accrual based on study design. Intensive correlative analyses revealed important insights regarding ruxolitinib effects. Pharmacodynamic analyses of baseline versus cycle 2 biopsies demonstrate downregulation of JAK2 target genes, STAT3 signatures, and JAK/STAT gene ontology gene sets, suggesting on-target activity. There was evidence of immune microenvironment modulation: gene set enrichment analysis implicated reduced macrophage/myeloid phenotypes after treatment and CIBERSORT analysis of inferred immune cell subsets demonstrated reduced monocyte/macrophage proportion after treatment (t-test p=0.013). Multi-color immunofluorescence analyses of immune microenvironment are ongoing and will be reported. 17 patients underwent cfDNA analysis with 8 patients (47%) demonstrating gain or amplification of JAK2.
Conclusions: Ruxolitinib, as a single agent, did not meet the primary efficacy endpoint in this refractory patient population. Correlative studies demonstrate evidence of on-target activity and immune microenvironment modulation. Frequent JAK/STAT pathway activation and JAK2 locus chromosomal gains in this cohort suggest that the JAK/STAT pathway remains a potential therapeutic target in BC.
Citation Format: Stover DG, Gil Del Alcazar CR, Tolaney SM, Bardia A, Guo H, Balko JM, Overmoyer BA, Gelman RS, Lloyd M, Wang V, Brock JE, Winer EP, Polyak K, Lin NU. Phase 2 study and correlative analyses of ruxolitinib, a selective JAK1/2 inhibitor, in patients with metastatic, triple-negative breast cancer [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P5-21-10.
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Affiliation(s)
- DG Stover
- Dana-Farber Cancer Institute, Boston, MA; Massachusetts General Hospital Cancer Center, Boston, MA; Vanderbilt University Medical Center, Nashvillet, TN
| | - CR Gil Del Alcazar
- Dana-Farber Cancer Institute, Boston, MA; Massachusetts General Hospital Cancer Center, Boston, MA; Vanderbilt University Medical Center, Nashvillet, TN
| | - SM Tolaney
- Dana-Farber Cancer Institute, Boston, MA; Massachusetts General Hospital Cancer Center, Boston, MA; Vanderbilt University Medical Center, Nashvillet, TN
| | - A Bardia
- Dana-Farber Cancer Institute, Boston, MA; Massachusetts General Hospital Cancer Center, Boston, MA; Vanderbilt University Medical Center, Nashvillet, TN
| | - H Guo
- Dana-Farber Cancer Institute, Boston, MA; Massachusetts General Hospital Cancer Center, Boston, MA; Vanderbilt University Medical Center, Nashvillet, TN
| | - JM Balko
- Dana-Farber Cancer Institute, Boston, MA; Massachusetts General Hospital Cancer Center, Boston, MA; Vanderbilt University Medical Center, Nashvillet, TN
| | - BA Overmoyer
- Dana-Farber Cancer Institute, Boston, MA; Massachusetts General Hospital Cancer Center, Boston, MA; Vanderbilt University Medical Center, Nashvillet, TN
| | - RS Gelman
- Dana-Farber Cancer Institute, Boston, MA; Massachusetts General Hospital Cancer Center, Boston, MA; Vanderbilt University Medical Center, Nashvillet, TN
| | - M Lloyd
- Dana-Farber Cancer Institute, Boston, MA; Massachusetts General Hospital Cancer Center, Boston, MA; Vanderbilt University Medical Center, Nashvillet, TN
| | - V Wang
- Dana-Farber Cancer Institute, Boston, MA; Massachusetts General Hospital Cancer Center, Boston, MA; Vanderbilt University Medical Center, Nashvillet, TN
| | - JE Brock
- Dana-Farber Cancer Institute, Boston, MA; Massachusetts General Hospital Cancer Center, Boston, MA; Vanderbilt University Medical Center, Nashvillet, TN
| | - EP Winer
- Dana-Farber Cancer Institute, Boston, MA; Massachusetts General Hospital Cancer Center, Boston, MA; Vanderbilt University Medical Center, Nashvillet, TN
| | - K Polyak
- Dana-Farber Cancer Institute, Boston, MA; Massachusetts General Hospital Cancer Center, Boston, MA; Vanderbilt University Medical Center, Nashvillet, TN
| | - NU Lin
- Dana-Farber Cancer Institute, Boston, MA; Massachusetts General Hospital Cancer Center, Boston, MA; Vanderbilt University Medical Center, Nashvillet, TN
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Sanders MA, Brock JE, Harrison BT, Wieczorek TJ, Hong X, Guidi AJ, Dillon DA, Max L, Lester SC. Nipple-Invasive Primary Carcinomas: Clinical, Imaging, and Pathologic Features of Breast Carcinomas Originating in the Nipple. Arch Pathol Lab Med 2018; 142:598-605. [PMID: 29431468 DOI: 10.5858/arpa.2017-0226-oa] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Context Patients choosing to retain the nipple when undergoing therapeutic or prophylactic mastectomy are at risk for cancers arising at that site. Objective To identify cases of invasive carcinoma arising within the nipple and to investigate their clinical, imaging, biologic, and staging features. Design Carcinomas were identified by prospective review of surgical and consult cases at 4 hospitals. Results The 24 patients identified presented with symptoms related to the nipple. Mammography did not detect the cancer in most cases. Ten patients (42%) had skin changes from ductal carcinoma in situ involving nipple skin (Paget disease), with small foci of invasion into the dermis, and 6 of those 10 carcinomas (60%) stained positive for human epidermal growth factor receptor 2 (HER2). The remaining 14 patients (58%) presented with a nipple mass or with skin changes. These were larger invasive carcinomas of both ductal and lobular types. Only 2 of those 14 carcinomas (14%) were HER2+. Three of 15 patients (20%) undergoing lymph node biopsy had a single metastasis. No patients have had recurrent disease. Conclusions Rare, invasive, primary nipple carcinomas typically present as subtle nipple thickening or an exudative crust on the skin. Imaging studies are often nonrevealing. A variety of histologic and biologic types of carcinomas occur, similar to cancers arising deeper in the breast. Although the carcinomas invaded into the dermis, some with skin ulceration, the likelihood of lymph node metastasis was no higher than carcinomas of similar sizes. Patients who choose to preserve their nipple(s) should be aware of the possibility of breast cancer arising at that site and to bring any observed changes to the attention of their health care providers.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Susan C Lester
- From the Department of Pathology and Laboratory Medicine, University of Louisville, Louisville, Kentucky (Dr Sanders); the Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts (Drs Brock, Harrison, Dillon, and Lester); the Department of Pathology, Brigham and Women's Faulkner Hospital, Boston, Massachusetts (Drs Wieczorek and Hong); the Department of Pathology, Newton-Wellesley Hospital, Newton, Massachusetts (Dr Guidi); and Falmouth Hospital, Falmouth, Massachusetts (Dr Max)
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Abstract
Everyone with Diabetes Counts (EDC) is a national disparities reduction program funded by the Centers for Medicare & Medicaid Services to improve outcomes in the underserved minority, diverse, and rural populations. This analysis evaluates West Virginia's pilot program of diabetes self-management education (DSME), one component of EDC. We frequency-matched 422 DSME completers to 1688 others by demographics and enrollment from Medicare fee-for service claims. We estimated savings associated with reduced hospitalizations in multivariable negative binomial models. DSME completers had 29% fewer hospitalizations (adjusted P < .0069). We estimated savings of $35 900 per 100 DSME completers in West Virginia.
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Affiliation(s)
- Lori J. Silveira
- Correspondence: Lori J. Silveira, PhD, Telligen, 7730 E Belleview Ave, Ste 300, Greenwood Village, CO 80111 ()
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Kuba MG, Lester SC, Giess CS, Bertagnolli MM, Wieczorek TJ, Brock JE. Fibromatosis of the Breast: Diagnostic Accuracy of Core Needle Biopsy. Am J Clin Pathol 2017; 148:243-250. [PMID: 28821190 DOI: 10.1093/ajcp/aqx065] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVES Fibromatosis of the breast is an uncommon neoplasm with potential for local recurrence. Treatment has traditionally been surgical excision with current trends toward conservative management. Given the option of observation after diagnosis by core needle biopsy (CNB), we sought to evaluate the accuracy of CNB for diagnosing fibromatosis. METHODS We identified a total of 31 cases in which fibromatosis had been diagnosed or included in the differential diagnosis on a CNB, an excision, or both. Morphology and immunohistochemical results were reviewed. RESULTS Aberrant nuclear immunoreactivity for β-catenin and absent staining for CD34 were the most useful studies to diagnose fibromatosis, and one or both were performed in 21 (68%) cases. High molecular weight cytokeratins and p63 were helpful to exclude spindle cell carcinoma. Of 26 cases confirmed as fibromatosis on excision, 22 (85%) were diagnosed as fibromatosis or fibromatosis was favored in the differential diagnosis on CNB. More frequent use of immunohistochemistry would likely have resulted in a greater number of definitive diagnoses. Fibromatosis was rarely mistaken for other nonmalignant stromal lesions, with no cases misdiagnosed as carcinoma. CONCLUSIONS CNB can be an accurate method of diagnosing fibromatosis, allowing observation for a select group of patients.
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Affiliation(s)
| | | | - Catherine S Giess
- Division of Breast Imaging, Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Monica M Bertagnolli
- Division of Surgical Oncology, Department of Surgery, Dana Farber-Cancer Institute, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Tad J Wieczorek
- Department of Pathology, Brigham and Women's Faulkner Hospital, Boston, MA
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Waks AG, Barry WT, Gjini E, Dillon D, Rodig S, Brock JE, Baltay M, Savoie J, Stover DG, Winer EP, Krop IE, Tolaney SM. Immune biomarkers and treatment (tx) outcome in hormone receptor-positive (HR+) breast cancer (BC) patients (pts) treated with preoperative chemotherapy (preop chemo) plus bevacizumab (bev). J Clin Oncol 2017. [DOI: 10.1200/jco.2017.35.15_suppl.e12134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e12134 Background: Though preliminary study of the BC immune microenvironment suggests that HR+ tumors are less immune-active than other subtypes, immune biomarkers may have important clinical implications in HR+ BC pts. Methods: 78 HR+/HER2- BC pts were enrolled on a prospective trial of preop bev followed by bev with adriamycin/cyclophosphamide/paclitaxel dose-dense chemo. Tumor samples were collected at diagnosis and surgery (pre-tx and post-tx). PD-L1 expression (by immunohistochemistry) and tumor-infiltrating lymphocytes (TILs) were scored. Whole transcriptome sequencing and Nanostring PanCancer Immune Profiling Panel were performed. Pathologic response at surgery was assessed by Miller-Payne (MP) and residual cancer burden (RCB) scores. We calculated adjusted correlations by linear/logistic regression for RCB/dichotomized MP, respectively. Results: 55 pts who received trial tx and had >1 analyzable specimen are included. Pre-tx TILs and tumor PD-L1 (tPD-L1) scores (see table) were slightly positively correlated (Spearman rho 0.23, p=0.1). Large changes (>5%) in TILs or tPD-L1 from pre-tx to post-tx were rare: 2 pts each had large changes in TIL or tPD-L1 score (N=38 and N=31 pairs, respectively). Higher pre-tx TILs or tPD-L1 were significantly associated with more favorable RCB and MP (all Spearman p<0.01) in unadjusted analyses. After adjustment for age and tumor grade, higher pre-tx TILs and tPD-L1 were associated with more favorable RCB (p<0.01 for both), and higher pre-tx tPD-L1 correlated with more favorable MP (p=0.03). Pathologic complete response occurred in 4 pts; all 4 had high pre-tx TILs, pre-tx tPD-L1, or both. Analysis of immune-related RNA signatures is ongoing. Conclusions: High levels of tumor-immune interaction were seen in only a minority of untreated HR+ breast tumors, and did not typically change after tx with chemo plus bev. Nonetheless, TILs and tPD-L1 are significantly associated with pathologic response to preop tx in HR+ disease. [Table: see text]
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Affiliation(s)
| | | | | | | | - Scott Rodig
- Department of Pathology and Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA
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Brock JE, Milner DA, Ho K, Natalie W, Victor C, Annaliza R, Teresa B, Kathryn GF, Edwin LW, Jodi W, Wendy W, Michael B. Abstract P2-05-07: Comparison of the Xpert breast cancer stratifier mRNA assay with central ER, PR, HER2, and Ki67 immunohistochemistry (IHC) for rapid biomarker analysis in developing countries. Cancer Res 2017. [DOI: 10.1158/1538-7445.sabcs16-p2-05-07] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Breast cancer care in the developing world is limited by access to quality ER and HER2 IHC diagnostic assays needed to justify hormone and HER2 therapeutics. Shipping pathology specimens to a central testing site often out of country delays therapy and is costly. The Xpert Breast Cancer Stratifier assay makes quantitative measurements of ESR1, PGR, ERBB2, and MKi67 mRNAs from FFPE specimens in <2 hours on an easy-to-use automated diagnostic platform, the GeneXpert (GX). 10,000 GX machines are currently in use in 182 countries offering the possibility of a point-of-care solution. We compared concordance in tumor samples between IHC and mRNA intending to challenge the limits of the GX mRNA assay.
83 breast tumor samples were chosen including those with low cellularity, small volume disease, unusual subtypes, ER- tumors with surrounding benign epithelium, and low level HER2+ tumors. mRNA, IHC and FISH assays were performed. Slides were tested following macrodissection of invasive carcinoma and as non-macrodissected whole sections. GX measurements for Ki67 were compared with mitotic rate as an alternative to Ki67 IHC.
Overall percent agreement following macrodissection was 95% for ER, 89% for HER2, 76% for PR, and 80% for Ki67 (>20% positive cut), and using whole section, 99% for ER, 80% for PR, 92% for HER2, and 73% for Ki67. Concordance was 92% for both macrodissection and whole section using mitotic rate to assess proliferation. Ignoring HER2 2+ calls which represented low level amplified tumors by FISH, the concordance rates were 95% for macrodissection and 99% for whole section. Discordance when testing long-term stored 4μm sections was resolved in a number of cases by using a fresh cut from the FFPE block. Half the ER discrepancies were in very small volume tumors ≤25mm2 and 75% were classified as ER-ve by IHC, and positive by Stratifier. 80% of ER IHC- cases were appropriately identified as ER- by the Stratifier in the presence of benign breast epithelium. HER2+ DCIS adjacent to HER2- invasive tumor resulted in a discrepant HER2 mRNA result even with macrodissection. No ER or HER2 discrepancies occurred in low cellularity tumors (≤30% cellularity) nor in lobular and mucinous subtypes.
In a study intended to challenge an mRNA breast biomarker assay, concordance between mRNA results and IHC was high for ER and HER2, the two most important prognostic markers needed for therapeutic decision making. Use of whole sections rather than tumor macrodissection did not decrease concordance. Discrepant ER cases were more prevalent when analyzing low volumes of tumor and in this setting were seen in ER IHC- tumors surrounded by ER+ normal epithelium, or with weak IHC expression, highlighting predictable limitations of the assay. Concordance was better between Ki67 mRNA and mitotic rate than with IHC. Re-test data suggested that a fresh cut of the FFPE block yields the best results by GX, perhaps due to mRNA degradation in stored 4μm sections. The Xpert Breast Cancer Stratifier may provide a rapid, cost-effective solution to the problem of obtaining accurate diagnostic results at the point-of-care in low resource settings, and deserves further evaluation in developing countries.
Citation Format: Brock JE, Milner DA, Ho K, Natalie W, Victor C, Annaliza R, Teresa B, Kathryn G-F, Edwin LW, Jodi W, Wendy W, Michael B. Comparison of the Xpert breast cancer stratifier mRNA assay with central ER, PR, HER2, and Ki67 immunohistochemistry (IHC) for rapid biomarker analysis in developing countries [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P2-05-07.
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Affiliation(s)
- JE Brock
- Brigham and Women's Hospital, Boston, MA; Cepheid, Sunnyvale, CA
| | - DA Milner
- Brigham and Women's Hospital, Boston, MA; Cepheid, Sunnyvale, CA
| | - K Ho
- Brigham and Women's Hospital, Boston, MA; Cepheid, Sunnyvale, CA
| | - W Natalie
- Brigham and Women's Hospital, Boston, MA; Cepheid, Sunnyvale, CA
| | - C Victor
- Brigham and Women's Hospital, Boston, MA; Cepheid, Sunnyvale, CA
| | - R Annaliza
- Brigham and Women's Hospital, Boston, MA; Cepheid, Sunnyvale, CA
| | - B Teresa
- Brigham and Women's Hospital, Boston, MA; Cepheid, Sunnyvale, CA
| | - G-F Kathryn
- Brigham and Women's Hospital, Boston, MA; Cepheid, Sunnyvale, CA
| | - LW Edwin
- Brigham and Women's Hospital, Boston, MA; Cepheid, Sunnyvale, CA
| | - W Jodi
- Brigham and Women's Hospital, Boston, MA; Cepheid, Sunnyvale, CA
| | - W Wendy
- Brigham and Women's Hospital, Boston, MA; Cepheid, Sunnyvale, CA
| | - B Michael
- Brigham and Women's Hospital, Boston, MA; Cepheid, Sunnyvale, CA
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Warren LE, Chen YH, Halasz LM, Capuco A, Bellon JR, Brock JE, Punglia RS, Wong JS, Harris JR. Abstract P3-17-07: Improved long-term outcomes of breast-conserving therapy for women with ductal carcinoma in situ. Cancer Res 2017. [DOI: 10.1158/1538-7445.sabcs16-p3-17-07] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Purpose: Improved mammographic and surgical techniques and pathologic evaluation, particularly greater attention to achieving negative margins, have resulted in decreased local recurrence rates for patients with ductal carcinoma in situ (DCIS). This is an updated analysis of local outcomes after breast-conserving surgery (BCS) and adjuvant radiation therapy (RT) at a single institution in the modern era.
Methods and Materials: We retrospectively reviewed the records of 245 women treated for DCIS with BCS and RT between 2001 and 2007. Competing risk analysis was used to calculate local recurrence (LR) as a first event with the development of a second non-breast malignancy, contralateral breast cancer, and death as competing first events. The median age at diagnosis was 54 (range, 32-84) and 174 (93%) women had estrogen receptor (ER) and/or progesterone receptor (PR) positive disease. Ninety-five (39%) were grade III. Specimen radiograph during surgery was obtained for 223 women (91%) and post-operative mammogram for 102 (42%). Half underwent more than one excision. The institutional goal for margins during the study period was 3 mm or greater; final margins were >2 mm in 221 (90%). All received adjuvant radiation therapy to the whole breast (median whole breast dose: 4400; range, 4000 - 5220) and nearly all (99%) received a boost to the surgical cavity (median boost dose: 1600; range, 800 – 1800). Among patients with ER and/or PR+ disease, 105 (60%) received adjuvant hormonal therapy.
Results: At a median follow-up of 10.6 years, 4 patients had a LR (2 DCIS, 2 invasive ductal carcinoma) as a first event with a cumulative LR incidence of 0.0% and 1.5% at 5 and 10 years, respectively. The 5 and 10-year cumulative incidence of the competing first events is seen in the table below. Twenty women developed a contralateral breast cancer (CBC; 8 DCIS, 12 invasive carcinoma), 13 were diagnosed with a second non-breast malignancy (3 endometrial, 2 fallopian tube, 1 gallbladder, 1 leukemia and thyroid, 4 lung, 1 ovarian, and 1 uterine), and 7 died. Family history, age at diagnosis, and receipt of hormonal therapy were not significantly associated with the development of CBC on univariable analysis (all p>0.05).
Incidence of local recurrence and competing eventsEvent5-year cumulative incidence10-year cumulative incidenceLocal recurrence0.0%1.5%Contralateral Breast Cancer2.5%7.9%Second non-breast malignancy2.6%4.5%Death1.2%3.5%
Conclusions: With longer follow-up, our rates of local recurrence following breast-conserving therapy for DCIS remain very low (1.5% at 10 years). The vast majority of patients had >2 mm margins, specimen radiographs, and received a tumor bed boost. The majority (60%) of patients with hormone receptor positive disease received adjuvant endocrine therapy. The 10-year incidence of CBC was higher than expected. Predisposing factors for the development of CBC are worthy of investigation.
Citation Format: Warren LE, Chen Y-H, Halasz LM, Capuco A, Bellon JR, Brock JE, Punglia RS, Wong JS, Harris JR. Improved long-term outcomes of breast-conserving therapy for women with ductal carcinoma in situ [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P3-17-07.
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Affiliation(s)
- LE Warren
- Dana-Farber Cancer Institute/Brigham and Women's Hospital, Boston, MA; Dana-Farber Cancer Institute, Boston, MA; University of Washington, Seattle, WA; Brigham and Women's Hospital, Boston, MA
| | - Y-H Chen
- Dana-Farber Cancer Institute/Brigham and Women's Hospital, Boston, MA; Dana-Farber Cancer Institute, Boston, MA; University of Washington, Seattle, WA; Brigham and Women's Hospital, Boston, MA
| | - LM Halasz
- Dana-Farber Cancer Institute/Brigham and Women's Hospital, Boston, MA; Dana-Farber Cancer Institute, Boston, MA; University of Washington, Seattle, WA; Brigham and Women's Hospital, Boston, MA
| | - A Capuco
- Dana-Farber Cancer Institute/Brigham and Women's Hospital, Boston, MA; Dana-Farber Cancer Institute, Boston, MA; University of Washington, Seattle, WA; Brigham and Women's Hospital, Boston, MA
| | - JR Bellon
- Dana-Farber Cancer Institute/Brigham and Women's Hospital, Boston, MA; Dana-Farber Cancer Institute, Boston, MA; University of Washington, Seattle, WA; Brigham and Women's Hospital, Boston, MA
| | - JE Brock
- Dana-Farber Cancer Institute/Brigham and Women's Hospital, Boston, MA; Dana-Farber Cancer Institute, Boston, MA; University of Washington, Seattle, WA; Brigham and Women's Hospital, Boston, MA
| | - RS Punglia
- Dana-Farber Cancer Institute/Brigham and Women's Hospital, Boston, MA; Dana-Farber Cancer Institute, Boston, MA; University of Washington, Seattle, WA; Brigham and Women's Hospital, Boston, MA
| | - JS Wong
- Dana-Farber Cancer Institute/Brigham and Women's Hospital, Boston, MA; Dana-Farber Cancer Institute, Boston, MA; University of Washington, Seattle, WA; Brigham and Women's Hospital, Boston, MA
| | - JR Harris
- Dana-Farber Cancer Institute/Brigham and Women's Hospital, Boston, MA; Dana-Farber Cancer Institute, Boston, MA; University of Washington, Seattle, WA; Brigham and Women's Hospital, Boston, MA
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Tolaney SM, Ziehr DR, Guo H, Ng MR, Barry WT, Higgins MJ, Isakoff SJ, Brock JE, Ivanova EV, Paweletz CP, Demeo MK, Ramaiya NH, Overmoyer BA, Jain RK, Winer EP, Duda DG. Phase II and Biomarker Study of Cabozantinib in Metastatic Triple-Negative Breast Cancer Patients. Oncologist 2017; 22:25-32. [PMID: 27789775 PMCID: PMC5313267 DOI: 10.1634/theoncologist.2016-0229] [Citation(s) in RCA: 64] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2016] [Accepted: 07/21/2016] [Indexed: 11/17/2022] Open
Abstract
Currently, no targeted therapies are available for metastatic triplenegative breast cancer (mTNBC). We evaluated the safety, efficacy, and biomarkers of response to cabozantinib, a multikinase inhibitor, in patients with mTNBC. We conducted a single arm phase II and biomarker study that enrolled patients with measurable mTNBC. Patients received cabozantinib (60 mg daily) on a 3-week cycle and were restaged after 6 weeks and then every 9 weeks. The primary endpoint was objective response rate. Predefined secondary endpoints included progression-free survival (PFS), toxicity, and tissue and blood circulating cell and protein biomarkers. Of 35 patients who initiated protocol therapy, 3 (9% [95% confidence interval (CI): 2, 26]) achieved a partial response (PR). Nine patients achieved stable disease (SD) for at least 15 weeks, and thus the clinical benefit rate (PR+SD) was 34% [95% CI: 19, 52]. Median PFS was 2.0 months [95% CI: 1.3, 3.3]. The most common toxicities were fatigue, diarrhea, mucositis, and palmar-plantar erythrodysesthesia. There were no grade 4 toxicities, but 12 patients (34%) required dose reduction. Two patients had TNBCs with MET amplification. During cabozantinib therapy, there were significant and durable increases in plasma placental growth factor, vascular endothelial growth factor (VEGF), VEGF-D, stromal cell-derived factor 1a, and carbonic anhydrase IX, and circulating CD3 + cells and CD8 + T lymphocytes, and decreases in plasma soluble VEGF receptor 2 and CD14+ monocytes (all p < .05). Higher baseline concentrations of soluble MET (sMET) associated with longer PFS (p = .03). In conclusion, cabozantinib showed encouraging safety and efficacy signals but did not meet the primary endpoint in pretreated mTNBC. Exploratory analyses of circulating biomarkers showed that cabozantinib induces systemic changes consistent with activation of the immune system and antiangiogenic activity, and that sMET should be further evaluated a potential biomarker of response. IMPLICATIONS FOR PRACTICE Triple-negative breast cancer (TNBC)-a disease with a dearth of effective therapies-often overexpress MET, which is associated with poor clinical outcomes. However, clinical studies of agents targeting MET and VEGF pathways-alone or in combination-have shown disappointing results. This study of cabozantinib (a dual VEGFR2/MET) in metastatic TNBC, while not meeting its prespecified endpoint, showed that treatment is associated with circulating biomarker changes, and is active in a subset of patients. Furthermore, this study demonstrates that cabozantinib therapy induces a systemic increase in cytotoxic lymphocyte populations and a decrease in immunosuppressive myeloid populations. This supports the testing of combinations of cabozantinib with immunotherapy in future studies in breast cancer patients.
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Affiliation(s)
| | - David R. Ziehr
- Department of MedicineMassachusetts General Hospital Cancer CenterBostonMassachusettsUSA
| | - Hao Guo
- Dana‐Farber Cancer InstituteBostonMassachusettsUSA
| | - Mei R. Ng
- Steele Laboratories, Department of Radiation OncologyMassachusetts General Hospital Research InstituteBostonMassachusettsUSA
| | | | - Michaela J. Higgins
- Department of MedicineMassachusetts General Hospital Cancer CenterBostonMassachusettsUSA
| | - Steven J. Isakoff
- Department of MedicineMassachusetts General Hospital Cancer CenterBostonMassachusettsUSA
| | | | | | | | | | | | | | - Rakesh K. Jain
- Steele Laboratories, Department of Radiation OncologyMassachusetts General Hospital Research InstituteBostonMassachusettsUSA
| | | | - Dan G. Duda
- Steele Laboratories, Department of Radiation OncologyMassachusetts General Hospital Research InstituteBostonMassachusettsUSA
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Harrison BT, Dillon DA, Richardson AL, Brock JE, Guidi AJ, Lester SC. Quality Assurance in Breast Pathology: Lessons Learned From a Review of Amended Reports. Arch Pathol Lab Med 2016; 141:260-266. [DOI: 10.5858/arpa.2016-0018-oa] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Context.—A review of amended pathology reports provides valuable information regarding defects in the surgical pathology process.
Objective.—To review amended breast pathology reports with emphasis placed on interpretative errors and their mechanisms of detection.
Design.—All amended pathology reports for breast surgical specimens for a 5-year period at a large academic medical center were retrospectively identified and classified based on an established taxonomy.
Results.—Of 12 228 breast pathology reports, 122 amended reports were identified. Most (88 cases; 72%) amendments were due to noninterpretative errors, including 58 report defects, 12 misidentifications, and 3 specimen defects. A few (34 cases; 27.9%) were classified as misinterpretations, including 14 major diagnostic changes (11.5% of all amendments). Among major changes, there were cases of missed microinvasion or small foci of invasion, missed micrometastasis, atypical ductal hyperplasia overcalled as ductal carcinoma in situ, ductal carcinoma in situ involving sclerosing adenosis mistaken for invasive carcinoma, lymphoma mistaken for invasive carcinoma, and amyloidosis misdiagnosed as fat necrosis. Nine major changes were detected at interpretation of receptor studies and were not associated with clinical consequences. Three cases were associated with clinical consequences, and of note, the same pathologist interpreted the corresponding receptor studies.
Conclusions.—Review of amended reports was a useful method for identifying error frequencies, types, and methods of detection. Any time that a case is revisited for ancillary studies or other reasons, it is an opportunity for the surgical pathologist to reconsider one's own or another's diagnosis.
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Nik-Zainal S, Davies H, Staaf J, Ramakrishna M, Glodzik D, Zou X, Martincorena I, Alexandrov LB, Martin S, Wedge DC, Van Loo P, Ju YS, Smid M, Brinkman AB, Morganella S, Aure MR, Lingjærde OC, Langerød A, Ringnér M, Ahn SM, Boyault S, Brock JE, Broeks A, Butler A, Desmedt C, Dirix L, Dronov S, Fatima A, Foekens JA, Gerstung M, Hooijer GKJ, Jang SJ, Jones DR, Kim HY, King TA, Krishnamurthy S, Lee HJ, Lee JY, Li Y, McLaren S, Menzies A, Mustonen V, O’Meara S, Pauporté I, Pivot X, Purdie CA, Raine K, Ramakrishnan K, Rodríguez-González FG, Romieu G, Sieuwerts AM, Simpson PT, Shepherd R, Stebbings L, Stefansson OA, Teague J, Tommasi S, Treilleux I, Van den Eynden GG, Vermeulen P, Vincent-Salomon A, Yates L, Caldas C, van’t Veer L, Tutt A, Knappskog S, Tan BKT, Jonkers J, Borg Å, Ueno NT, Sotiriou C, Viari A, Futreal PA, Campbell PJ, Span PN, Van Laere S, Lakhani SR, Eyfjord JE, Thompson AM, Birney E, Stunnenberg HG, van de Vijver MJ, Martens JW, Børresen-Dale AL, Richardson AL, Kong G, Thomas G, Stratton MR. Landscape of somatic mutations in 560 breast cancer whole-genome sequences. Nature 2016; 534:47-54. [PMID: 27135926 PMCID: PMC4910866 DOI: 10.1038/nature17676] [Citation(s) in RCA: 1421] [Impact Index Per Article: 177.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2015] [Accepted: 03/17/2016] [Indexed: 02/06/2023]
Abstract
We analysed whole-genome sequences of 560 breast cancers to advance understanding of the driver mutations conferring clonal advantage and the mutational processes generating somatic mutations. We found that 93 protein-coding cancer genes carried probable driver mutations. Some non-coding regions exhibited high mutation frequencies, but most have distinctive structural features probably causing elevated mutation rates and do not contain driver mutations. Mutational signature analysis was extended to genome rearrangements and revealed twelve base substitution and six rearrangement signatures. Three rearrangement signatures, characterized by tandem duplications or deletions, appear associated with defective homologous-recombination-based DNA repair: one with deficient BRCA1 function, another with deficient BRCA1 or BRCA2 function, the cause of the third is unknown. This analysis of all classes of somatic mutation across exons, introns and intergenic regions highlights the repertoire of cancer genes and mutational processes operating, and progresses towards a comprehensive account of the somatic genetic basis of breast cancer.
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Affiliation(s)
- Serena Nik-Zainal
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
- East Anglian Medical Genetics Service, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 9NB, UK
| | - Helen Davies
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | - Johan Staaf
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | | | - Dominik Glodzik
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | - Xueqing Zou
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | | | - Ludmil B. Alexandrov
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
- Theoretical Biology and Biophysics (T-6), Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America
- Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America
| | - Sancha Martin
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | - David C. Wedge
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | - Peter Van Loo
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
- Department of Human Genetics, University of Leuven, B-3000 Leuven, Belgium
| | - Young Seok Ju
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | - Marcel Smid
- Erasmus MC Cancer Institute and Cancer Genomics Netherlands, Erasmus University Medical Center, Department of Medical Oncology, Rotterdam, The Netherlands
| | - Arie B Brinkman
- Radboud University, Department of Molecular Biology, Faculties of Science and Medicine, Nijmegen, Netherlands
| | - Sandro Morganella
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus,Hinxton, Cambridgeshire, CB10 1SD
| | - Miriam R. Aure
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital The Norwegian Radiumhospital
- K.G. Jebsen Centre for Breast Cancer Research, Institute for Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ole Christian Lingjærde
- K.G. Jebsen Centre for Breast Cancer Research, Institute for Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Computer Science, University of Oslo, Oslo, Norway
| | - Anita Langerød
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital The Norwegian Radiumhospital
- K.G. Jebsen Centre for Breast Cancer Research, Institute for Clinical Medicine, University of Oslo, Oslo, Norway
| | - Markus Ringnér
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Sung-Min Ahn
- Gachon Institute of Genome Medicine and Science, Gachon University Gil Medical Center, Incheon, South Korea
| | - Sandrine Boyault
- Translational Research Lab, Centre Léon Bérard, 28, rue Laënnec, 69373 Lyon Cedex 08, France
| | - Jane E. Brock
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA 02115 USA
| | - Annegien Broeks
- The Netherlands Cancer Institute, 1066CX Amsterdam, The Netherlands
| | - Adam Butler
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | - Christine Desmedt
- Breast Cancer Translational Research Laboratory, Université Libre de Bruxelles, Institut Jules Bordet, Bd de Waterloo 121, B-1000 Brussels, Belgium
| | - Luc Dirix
- Translational Cancer Research Unit, Center for Oncological Research, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Serge Dronov
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | | | - John A. Foekens
- Erasmus MC Cancer Institute and Cancer Genomics Netherlands, Erasmus University Medical Center, Department of Medical Oncology, Rotterdam, The Netherlands
| | - Moritz Gerstung
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | - Gerrit KJ Hooijer
- Department of Pathology, Academic Medical Center, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
| | - Se Jin Jang
- Department of Pathology, Asan Medical Center, College of Medicine, Ulsan University, South Korea
| | - David R. Jones
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | - Hyung-Yong Kim
- Department of Pathology, College of Medicine, Hanyang University, Seoul, South Korea
| | - Tari A. King
- Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065, United States
| | - Savitri Krishnamurthy
- Morgan Welch Inflammatory Breast Cancer Research Program and Clinic, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030
| | - Hee Jin Lee
- Department of Pathology, Asan Medical Center, College of Medicine, Ulsan University, South Korea
| | - Jeong-Yeon Lee
- Institute for Bioengineering and Biopharmaceutical Research (IBBR), Hanyang University, Seoul, South Korea
| | - Yilong Li
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | - Stuart McLaren
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | - Andrew Menzies
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | - Ville Mustonen
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | - Sarah O’Meara
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | - Iris Pauporté
- Institut National du Cancer, Research Division, Clinical Research Department, 52 avenue Morizet, 92513 Boulogne-Billancourt, France
| | - Xavier Pivot
- University Hospital of Minjoz, INSERM UMR 1098, Bd Fleming, Besançon 25000, France
| | - Colin A. Purdie
- Pathology Department, Ninewells Hospital & Medical School, Dundee DD1 9SY, UK
| | - Keiran Raine
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | | | - F. Germán Rodríguez-González
- Erasmus MC Cancer Institute and Cancer Genomics Netherlands, Erasmus University Medical Center, Department of Medical Oncology, Rotterdam, The Netherlands
| | - Gilles Romieu
- Oncologie Sénologie, ICM Institut Régional du Cancer, Montpellier, France
| | - Anieta M. Sieuwerts
- Erasmus MC Cancer Institute and Cancer Genomics Netherlands, Erasmus University Medical Center, Department of Medical Oncology, Rotterdam, The Netherlands
| | - Peter T Simpson
- The University of Queensland: UQ Centre for Clinical Research and School of Medicine, Brisbane, Australia
| | - Rebecca Shepherd
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | - Lucy Stebbings
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | - Olafur A Stefansson
- Cancer Research Laboratory, Faculty of Medicine, University of Iceland, 101 Reykjavik, Iceland
| | - Jon Teague
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | | | - Isabelle Treilleux
- Department of Pathology, Centre Léon Bérard, 28 rue Laënnec, 69373 Lyon Cédex 08, France
| | - Gert G. Van den Eynden
- Translational Cancer Research Unit, Center for Oncological Research, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
- Department of Pathology, GZA Hospitals Sint-Augustinus, Antwerp, Belgium
| | - Peter Vermeulen
- Translational Cancer Research Unit, Center for Oncological Research, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
- Department of Pathology, GZA Hospitals Sint-Augustinus, Antwerp, Belgium
| | - Anne Vincent-Salomon
- Institut Curie, Department of Pathology and INSERM U934, 26 rue d’Ulm, 75248 Paris Cedex 05, France
| | - Lucy Yates
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | - Carlos Caldas
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, United Kingdom
| | - Laura van’t Veer
- The Netherlands Cancer Institute, 1066CX Amsterdam, The Netherlands
| | - Andrew Tutt
- Breast Cancer Now Toby Research Unit, King’s College London
- Breast Cancer Now Toby Robin’s Research Centre, Institute of Cancer Research, London
| | - Stian Knappskog
- Department of Clinical Science, University of Bergen, 5020 Bergen, Norway
- Department of Oncology, Haukeland University Hospital, 5021 Bergen, Norway
| | - Benita Kiat Tee Tan
- National Cancer Centre Singapore, 11 Hospital Drive, Singapore 169610
- Singapore General Hospital, Outram Road, Singapore 169608
| | - Jos Jonkers
- The Netherlands Cancer Institute, 1066CX Amsterdam, The Netherlands
| | - Åke Borg
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Naoto T Ueno
- Morgan Welch Inflammatory Breast Cancer Research Program and Clinic, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030
| | - Christos Sotiriou
- Breast Cancer Translational Research Laboratory, Université Libre de Bruxelles, Institut Jules Bordet, Bd de Waterloo 121, B-1000 Brussels, Belgium
| | - Alain Viari
- Equipe Erable, INRIA Grenoble-Rhône-Alpes, 655, Av. de l’Europe, 38330 Montbonnot-Saint Martin, France
- Synergie Lyon Cancer, Centre Léon Bérard, 28 rue Laënnec, Lyon Cedex 08, France
| | - P. Andrew Futreal
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
- Department of Genomic Medicine, UT MD Anderson Cancer Center, Houston, TX, 77230
| | - Peter J Campbell
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | - Paul N. Span
- Department of Radiation Oncology, and department of Laboratory Medicine, Radboud university medical center, Nijmegen, the Netherlands
| | - Steven Van Laere
- Translational Cancer Research Unit, Center for Oncological Research, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Sunil R Lakhani
- The University of Queensland: UQ Centre for Clinical Research and School of Medicine, Brisbane, Australia
- Pathology Queensland, The Royal Brisbane and Women’s Hospital, Brisbane, Australia
| | - Jorunn E. Eyfjord
- Cancer Research Laboratory, Faculty of Medicine, University of Iceland, 101 Reykjavik, Iceland
| | - Alastair M. Thompson
- Morgan Welch Inflammatory Breast Cancer Research Program and Clinic, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030
- Department of Surgical Oncology, University of Texas MD Anderson Cancer Center, 1400 Pressler Street,Houston, Texas 77030
| | - Ewan Birney
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus,Hinxton, Cambridgeshire, CB10 1SD
| | - Hendrik G Stunnenberg
- Radboud University, Department of Molecular Biology, Faculties of Science and Medicine, Nijmegen, Netherlands
| | - Marc J van de Vijver
- Department of Pathology, Academic Medical Center, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
| | - John W.M. Martens
- Erasmus MC Cancer Institute and Cancer Genomics Netherlands, Erasmus University Medical Center, Department of Medical Oncology, Rotterdam, The Netherlands
| | - Anne-Lise Børresen-Dale
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital The Norwegian Radiumhospital
- K.G. Jebsen Centre for Breast Cancer Research, Institute for Clinical Medicine, University of Oslo, Oslo, Norway
| | - Andrea L. Richardson
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA 02115 USA
- Dana-Farber Cancer Institute, Boston, MA 02215 USA
| | - Gu Kong
- Department of Pathology, College of Medicine, Hanyang University, Seoul, South Korea
| | - Gilles Thomas
- Synergie Lyon Cancer, Centre Léon Bérard, 28 rue Laënnec, Lyon Cedex 08, France
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Duda DG, Ziehr DR, Guo H, Ng M, Barry WT, Higgins MJ, Isakoff SJ, Brock JE, Ivanova E, Paweletz C, Demeo M, Ramaiya NH, Overmoyer B, Jain RK, Winer EP, Tolaney SM. Effect of cabozantinib treatment on circulating immune cell populations in patients with metastatic triple-negative breast cancer (TNBC). J Clin Oncol 2016. [DOI: 10.1200/jco.2016.34.15_suppl.1093] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
| | | | - Hao Guo
- Dana-Farber Cancer Institute, Boston, MA
| | - Mei Ng
- Massachusetts General Hospital, Boston, MA
| | | | | | | | | | | | - Cloud Paweletz
- Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA
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Pace LE, Dusengimana JMV, Hategekimana V, Habineza H, Bigirimana JB, Tapela N, Mutumbira C, Mpanumusingo E, Brock JE, Meserve E, Uwumugambi A, Dillon D, Keating NL, Shulman LN, Mpunga T. Benign and Malignant Breast Disease at Rwanda's First Public Cancer Referral Center. Oncologist 2016; 21:571-5. [PMID: 27009935 DOI: 10.1634/theoncologist.2015-0388] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2015] [Accepted: 01/12/2016] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Breast cancer incidence is rising in low- and middle-income countries. Understanding the distribution of breast disease seen in clinical practice in such settings can guide early detection efforts and clinical algorithms, as well as support future monitoring of cancer detection rates and stage. PATIENTS AND METHODS We conducted a retrospective medical record review of 353 patients who presented to Butaro Cancer Center of Excellence in Rwanda with an undiagnosed breast concern during the first 18 months of the cancer program. RESULTS Eighty-two percent of patients presented with a breast mass. Of these, 55% were diagnosed with breast cancer and 36% were diagnosed with benign disease. Cancer rates were highest among women 50 years and older. Among all patients diagnosed with breast cancer, 20% had stage I or II disease at diagnosis, 46% had locally advanced (stage III) disease, and 31% had metastatic disease. CONCLUSION After the launch of Rwanda's first public cancer referral center and breast clinic, cancer detection rates were high among patients presenting with an undiagnosed breast concern. These findings will provide initial data to allow monitoring of changes in the distribution of benign and malignant disease and of cancer stage as cancer awareness and services expand nationally. IMPLICATIONS FOR PRACTICE The numbers of cases and deaths from breast cancer are rising in low-income countries. In many of these settings, health care systems to address breast problems and efficiently refer patients with symptoms concerning for cancer are rudimentary. Understanding the distribution of breast disease seen in such settings can guide early detection efforts and clinical algorithms. This study describes the characteristics of patients who came with a breast concern to Rwanda's first public cancer referral center during its first 18 months. More than half of patients with a breast mass were diagnosed with cancer; most had late-stage disease. Monitoring changes in the types of breast disease and cancer stages seen in Rwanda will be critical as breast cancer awareness and services grow.
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Affiliation(s)
- Lydia E Pace
- Brigham and Women's Hospital, Boston, Massachusetts, USA Harvard Medical School, Boston, Massachusetts, USA
| | | | | | | | | | - Neo Tapela
- Brigham and Women's Hospital, Boston, Massachusetts, USA Harvard Medical School, Boston, Massachusetts, USA Partners in Health/Inshuti Mu Buzima, Kigali, Rwanda
| | | | | | - Jane E Brock
- Brigham and Women's Hospital, Boston, Massachusetts, USA Harvard Medical School, Boston, Massachusetts, USA
| | - Emily Meserve
- Brigham and Women's Hospital, Boston, Massachusetts, USA Harvard Medical School, Boston, Massachusetts, USA
| | | | - Deborah Dillon
- Brigham and Women's Hospital, Boston, Massachusetts, USA Harvard Medical School, Boston, Massachusetts, USA
| | - Nancy L Keating
- Brigham and Women's Hospital, Boston, Massachusetts, USA Harvard Medical School, Boston, Massachusetts, USA
| | - Lawrence N Shulman
- Harvard Medical School, Boston, Massachusetts, USA Partners in Health/Inshuti Mu Buzima, Kigali, Rwanda Dana-Farber Cancer Institute, Boston, Massachusetts, USA
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Abstract
PURPOSE We examined the incidence and modern national trends in the management of Paget's disease (PD), including the use of breast-conserving surgery (BCS), mastectomy, axillary surgery, and receipt of radiotherapy. METHODS Using surveillance, epidemiology and end results (SEER) data, we identified 2631 patients diagnosed with PD during 2000-2011. Of these patients, 185 (7%) had PD of the nipple only, 953 (36.2%) had PD with ductal carcinoma in situ (PD-DCIS), and 1493 (56.7%) had PD with invasive ductal carcinoma (PD-IDC). Trends in age-adjusted incidence, primary surgery, sentinel lymph node biopsy (SLNB), and axillary lymph node dissection were examined. Multivariable logistic regression was used to evaluate factors associated with receipt of BCS and radiotherapy. RESULTS A decrease in the age-adjusted incidence of PD occurred from 2000 to 2011 (-4.3% per year, p < 0.05). The overall rates of mastectomy in the PD only, PD-DCIS, and PD-IDC groups were 47, 69, and 88.9%, respectively. Only in the PD-IDC group did the proportion of patients undergoing BCS increase significantly, from 8.5% in 2000 to 15.7% in 2011 (p = 0.01). Of those who underwent axillary surgery, the proportion of patients undergoing SLNB increased from 2000 to 2011. In adjusted analyses, Paget's subgroup, older age, central tumor location, low/intermediate grade, tumor size <2.0 cm, SEER region, and year of diagnosis after 2006 were significantly associated with receipt of BCS. CONCLUSIONS The incidence of Paget's disease has decreased over time while modern trends in local therapy suggest that BCS, SLNB, and adjuvant radiotherapy remain underutilized.
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Tolaney SM, Ziehr DR, Guo H, Barry WT, Higgins MJ, Isakoff SJ, Brock JE, Ivanova E, Paweletz C, Demeo M, Ramaiya NH, Overmoyer B, Jain RK, Duda DG, Winer EP. A Phase II study of cabozantinib for metastatic triple-negative breast cancer (TNBC). J Clin Oncol 2015. [DOI: 10.1200/jco.2015.33.15_suppl.1080] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
| | | | - Hao Guo
- Dana-Farber Cancer Institute, Boston, MA
| | | | | | | | | | | | - Cloud Paweletz
- Belfer Institute for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA
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Wong SM, Freedman RA, Stamell E, Sagara Y, Brock JE, DeSantis S, Golshan M. Risk of axillary node metastasis in Paget disease with invasive ductal carcinoma. J Clin Oncol 2015. [DOI: 10.1200/jco.2015.33.15_suppl.1054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
| | | | - Emily Stamell
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, MA
| | - Yasuaki Sagara
- Department of Surgery, Brigham and Women's Hospital, Boston, MA
| | | | - Stephen DeSantis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Mehra Golshan
- Department of Surgery, Brigham and Women's Hospital, Boston, MA
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Sagara Y, Barry WT, Vaz-Luis I, Aydogan F, Brock JE, Winer EP, Golshan M, Metzger-Filho O. Abstract P1-16-01: Effect of margin width on local recurrence in invasive lobular carcinoma treated with multimodality therapy. Cancer Res 2015. [DOI: 10.1158/1538-7445.sabcs14-p1-16-01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Recent consensus guideline on margins for breast conserving surgery recommends the use of no ink on tumor as the standard for an adequate margin. Current recommendation extends to invasive lobular carcinoma (ILC), however the data in this subset is limited by small numbers. In the present analysis we sought to evaluate the influence of margin status on outcomes in ILC and mixed tumors.
Methods: We performed retrospective cohort study and reviewed 809 eligible patients diagnosed with ILC (337 with pure ILC; 472 with mixed ILC) with Stage I –III treated at Dana Farber/Brigham and Women’s Cancer Center (DFBWCC) between May 1997 and Dec 2007. Clinico-pathologic data was extracted following the Clinical Research Information Systems (CRIS) Database procedures and manually reviewed to confirm inclusion and details of margin status. Margin status was defined using the last ASCO/ASTRO/SSA consensus guidelines criteria. Analysis results were considered to be statistically significant when the two-tailed p-value was <0.05.
Results: Breast conservation was performed in 399 patients (49%). Margin status at the initial attempt for breast conservation was defined as follows: 180 (45%) negative, 64 (16%) positive, 71 (18%) ≤ 1mm margin, and 84 (21%) close margins (> 1 and < 3 mm). Following initial lumpectomy, 102 (25%) patients underwent additional surgery (96 re-excisions and 6 mastectomies) and residual invasive disease was found in 40 patients. Whole-breast radiation therapy was performed in 376 patients (96%). In multivariate models adjusted for classic clinico-pathologic factors, tumor size (HR= 1.8 95% CI 1.0 to 3.3, p=0.05), multifocality (HR= 2.0 95% CI 1.1 to 3.6, p= 0.02) and ILC subtype (HR= 2.0 95% CI 1.0 to 3.7, p=0.04) were correlated with positive margins, while year of diagnosis, age and pre-surgical MRI findings were not statistically significant.
With 72 months median follow-up, 12 ipsilateral breast cancers (3.1%), 5 other locoregional (1.2%) and 15 distant (3.8%) recurrences were observed after definitive breast conserving therapy. The incidence of locoregional recurrence (LRR) was 4.3% and similar for ILC and mixed ILC (p=0.76). In univariate analysis positive surgical margin was associated with LRR (HR=5.1, p= 0.03) and disease-free survival (DFS) (HR=8.9, p≤ .001), but due to limited number of cases and events this could not be adjusted for other clinico-pathologic prognostic factors in a mulitvariate model. Close surgical margins, margins within 1mm and multifocality were not associated with increased LRR or worse DFS. Re-excision did not impact on DFS for patients with close margin (p= 0.57) and within 1 mm margin (p= 0.85). By contrast, significant improvement of DFS following re-excision was observed in patients with positive margin (p= 0.01).
Conclusions: Following lumpectomy, local recurrence rates for ILC patients with close surgical margin and ≤ 1mm margin are low and equivalent to those in patients with negative margins. This study supports the validity of using no ink on tumor as the standard for an adequate margin for patients diagnosed with pure or mixed ILC treated with multimodality therapy.
Citation Format: Yasuaki Sagara, William T Barry, Ines Vaz-Luis, Fatih Aydogan, Jane E Brock, Eric P Winer, Mehra Golshan, Otto Metzger-Filho. Effect of margin width on local recurrence in invasive lobular carcinoma treated with multimodality therapy [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P1-16-01.
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Affiliation(s)
- Yasuaki Sagara
- 1Brigham and Women's Hospital, Dana-Farber Cancer Institute
| | | | | | - Fatih Aydogan
- 1Brigham and Women's Hospital, Dana-Farber Cancer Institute
| | - Jane E Brock
- 1Brigham and Women's Hospital, Dana-Farber Cancer Institute
| | | | - Mehra Golshan
- 1Brigham and Women's Hospital, Dana-Farber Cancer Institute
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Sagara Y, Barry WT, Mallory MA, Vaz-Luis I, Aydogan F, Brock JE, Winer EP, Golshan M, Metzger-Filho O. Surgical Options and Locoregional Recurrence in Patients Diagnosed with Invasive Lobular Carcinoma of the Breast. Ann Surg Oncol 2015; 22:4280-6. [PMID: 25893416 DOI: 10.1245/s10434-015-4570-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2015] [Indexed: 11/18/2022]
Abstract
PURPOSE Recent consensus guidelines on margins for breast-conserving surgery (BCS) recommend the use of "no ink on tumor" as the standard for an adequate margin. The recommendations extend to invasive lobular carcinoma (ILC), but the data on this subset are limited. We reviewed our modern dataset on margin status with outcomes of ILC. METHODS We performed a retrospective cohort study on 736 patients with a diagnosis of stage I-III ILC treated at our cancer center between May 1997 and December 2007. Clinicopathologic data were extracted from the Clinical Research Information Systems Database. Margin status was defined using the latest ASCO/ASTRO/SSO consensus guideline criteria. RESULTS The initial surgery performed was mastectomy in 352 patients (48 %) and BCS in 384 patients (52 %). In multivariate analysis, tumor size and multifocality were significantly associated with high rates of mastectomy and positive surgical margins at initial BCS. After initial BCS, additional surgery was performed in 92 patients (24 %). During a 72-month median follow-up period, 12 (3.1 %) ipsilateral breast tumor recurrences (IBTR) and 5 (1.3 %) other locoregional recurrences (LRR) were observed. Patients with margins with ink on tumor who did not receive further surgery were found to have significantly increased LRR [odds ratio (OR) 5.5; p = 0.02] and IBTR (OR 8.5; p = 0.006), whereas patients with close margins (1-3 mm) and margins within 1 mm were not. CONCLUSIONS Our study supports the validity of using "no ink on tumor" as the standard for a negative margin for pure and mixed ILC treated with multimodality therapy.
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Affiliation(s)
- Yasuaki Sagara
- Department of Surgery, Brigham and Women's Hospital, Boston, MA, USA.
| | - William T Barry
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Ines Vaz-Luis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Fatih Aydogan
- Department of Surgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Jane E Brock
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Eric P Winer
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Mehra Golshan
- Department of Surgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Otto Metzger-Filho
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
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Abstract
Magnetic resonance imaging (MRI) of the breast is used for select groups of patients. MRI-guided breast core needle biopsies performed over a 3-year period were retrospectively reviewed to determine the incidence and types of cancers found and to correlate the cancers with the MRI findings and the indication for the study. Patients were stratified based on indication for MRI examination including, evaluation of disease extent in patients with current ipsilateral carcinoma, surveillance for recurrence of prior ipsilateral carcinoma, as a problem-solving method and for screening high-risk patients. The high-risk screening group included those with family history (with or without germline mutations), prior chest wall radiation, and contralateral breast carcinoma (current or prior). Four-hundred and forty-five biopsies were performed on 386 patients. The majority of biopsies (79%) were benign. Biopsies demonstrating ductal carcinoma in situ (DCIS) and invasive carcinoma were more likely to present as nonmass-like and mass-forming enhancements respectively, but with only 52% specificity. The highest rate of malignancy (44%) was seen in the least frequently biopsied patient group (n = 25), those with prior ipsilateral carcinoma. Conversely, the most frequently biopsied group (n = 283), the high-risk screening group, demonstrated the lowest malignancy rate (16%). Within this group, most malignant cases were invasive carcinomas (n = 27), 67% of which were small (≤1 cm), well or moderately differentiated with a good prognostic receptor profile (estrogen receptor positive, human epidermal growth factor receptor 2 negative), and lacked nodal macrometastases. The remaining malignant cases in the high-risk screening group were DCIS with or without microinvasion (n = 18), 78% of which demonstrated high nuclear grade. Overall, enhancement pattern did not correlate with the likelihood of or type of malignancy. The most common types of carcinomas identified by screening were small estrogen receptor positive invasive tumors and high grade DCIS.
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Affiliation(s)
- Elizabeth Manion
- Department of Pathology, Saint Luke's Hospital System, Kansas City, Missouri
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39
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Tolaney SM, Guo H, Barry WT, Larrabee K, Brock JE, Wagle N, Van Allen EM, Paweletz C, Ivanova E, Janne PA, Overmoyer B, Wright JJ, Shapiro G, Winer EP, Krop IE. A phase II study of tivantinib (ARQ-197) for metastatic triple-negative breast cancer. J Clin Oncol 2014. [DOI: 10.1200/jco.2014.32.15_suppl.1106] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
| | - Hao Guo
- Dana-Farber Cancer Institute, Boston, MA
| | | | | | | | | | | | - Cloud Paweletz
- Belfer Institute for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA
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Brock JE. Abstract ES03-1: Clinical 101: The pathology of breast cancer. Cancer Res 2013. [DOI: 10.1158/0008-5472.sabcs13-es03-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Numerous histological types of breast cancer are recognized based on their discrete architectural patterns and associated different risk factors, clinical presentations, pathological features, patterns of spread, response to therapy and outcomes. Traditional prognostic factors include tumor size, lymph node status, tumor grade, and immunohistochemical profile of Estrogen and Progesterone Receptor (ER and PR) and Her2/neu gene amplification status.
Histological tumor grade assesses degree of differentiation (tubule formation and nuclear pleomorphism) and proliferative activity (mitotic index). The three histological grades mirror aggressiveness and correlate with survival. Expression profiling reveals only two genomic grades, low and high.
The ER positive, HER2 positive and triple negative tumors have correlative molecular subtypes on transcriptome analysis; two ER positive groups, luminal A and B where B tumors have a high proliferation compared with A, a HER2 enriched group, and basal-like group corresponding to triple negative tumors. A molecular apocrine group is characterized by ER negative, Androgen Receptor positive status with paradoxical expression of ER related genes and often HER2. A subset of molecular apocrine carcinomas have a morphological correlate.
The traditional prognostic factors used to determine therapy neither capture the complexity of breast cancer nor provide tailored enough treatment options for individual patients. Gene expression profiles which predict disease recurrence pick out the proliferation related genes and a number of different prognostic signatures despite them having < 25% of shared genes between the signatures (e.g. OncotypeDX, PAM50, Mammaprint) identify the Luminal A low risk subgroup, which does not benefit from chemotherapy. These prognostic signatures have no value in ER negative disease where there is a high rate of resistance to chemotherapy regimens. Predictors of sensitivity or resistance to specific regimens of chemotherapy in all tumors and predictors of resistance to hormone therapy in ER positive tumors are needed.
The low and high grade genomic signatures reflect two distinct models of tumor progression. The low grade neoplasia pathway is characterized by simple diploid karyotypes, and luminal A type invasive carcinomas in this group share genetic and transcriptomic features with precursor lesions, ADH, FEA. Special subtype tumors in this pathway include tubular, lobular, cribriform, mucinous carcinomas and some neuroendocrine carcinomas. The high grade pathway encompasses high grade DCIS, and high grade invasive ductal carcinoma and is characterized by aneuploidy and complex karyotypes.
Although tumors can be lumped broadly into low and high grade, there is enormous diversity between tumors even within the molecular subgroups. For example the basal-like/triple negative group includes tumors with distinct morphology, clinical presentation, prognosis and molecular profiles which requires tailoring of therapies. Two rare low grade clinically indolent basal-like tumors include Secretory carcinomas which harbor a characteristic recurrent balanced chromosomal translocation which leads to a fusion transcript ETV6-NTRK3 and Adenoid cystic carcinomas which have a MYB-NFIB fusion gene.
Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr ES03-1.
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Affiliation(s)
- JE Brock
- Brigham & Women's Hospital, Boston, MA
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Reisenbichler ES, Lester SC, Richardson AL, Dillon DA, Ly A, Brock JE. Interobserver concordance in implementing the 2010 ASCO/CAP recommendations for reporting ER in breast carcinomas: a demonstration of the difficulties of consistently reporting low levels of ER expression by manual quantification. Am J Clin Pathol 2013; 140:487-94. [PMID: 24045544 DOI: 10.1309/ajcp1rf9fuizrdpi] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
OBJECTIVES Endocrine therapy reduces recurrence risk by 30% to 50% in estrogen receptor (ER)-positive breast cancer. The ER-positive threshold recommended by the American Society of Clinical Oncology/College of American Pathologists is 1% based on studies using the ER-6F11 antibody. ER-SP1 antibody has a higher sensitivity and is more widely used. METHODS We report interobserver concordance manually measuring ER in 264 breast cancers using ER-SP1 and 1D5 and 2 scoring methods (H-score and Allred score). RESULTS With both antibodies, 3% to 4% of cases have a low level of ER expression (1%-10%), more than previously reported (<1%). We find a high level of paired observer concordance with both antibodies and scoring methods (κ = 0.892-0.943) with no significant difference with method of scoring. Despite excellent concordance, positive/negative discordance was almost 5% among 3 observers using either antibody, an underappreciated clinically significant rate. CONCLUSIONS Discordance overwhelmingly reflected differing opinions recording the proportion of tumor cells positive with low levels of expression (<10% staining; 12/13 cases).
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Affiliation(s)
| | - Susan C. Lester
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA
| | | | | | - Amy Ly
- Massachusetts General Hospital, Boston
| | - Jane E. Brock
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA
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Kansal KJ, Dominici LS, Tolaney SM, Isakoff SJ, Smith BL, Jiang W, Brock JE, Winer EP, Krop IE, Golshan M. Neoadjuvant bevacizumab: surgical complications of mastectomy with and without reconstruction. Breast Cancer Res Treat 2013; 141:255-9. [PMID: 24026859 DOI: 10.1007/s10549-013-2682-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2013] [Accepted: 08/26/2013] [Indexed: 12/23/2022]
Abstract
Neoadjuvant therapy (NAC) is commonly used in operable breast cancer. Previous studies have suggested a high rate of postoperative complications after NAC. We prospectively evaluated the surgical complications in a cohort of patients who underwent mastectomy following neoadjuvant adriamycin/cytoxan/taxol (AC/T) plus bevacizumab (bev) and compared the rate of complications to a matched cohort of neoadjuvant AC/T without bev. One hundred patients with HER2-negative breast cancer enrolled in a single-arm trial of neoadjuvant AC/T plus bev (cohort 1), 60 of these patients underwent mastectomy and were matched with 59 patients who received standard neoadjuvant AC/T (cohort 2) over a similar time period in the same healthcare system. All patients underwent mastectomy with or without reconstruction. Fisher's exact tests were used to compare complication rates, with p < 0.05 considered significant. Patients were matched well in terms of demographics. The overall complication rate was 32 % in cohort 1 and 31 % in cohort 2 (p value = 1, Table 1). In cohort 1, 7 of 23 (30 %) patients who underwent immediate expander/implant reconstruction had complications, including 2 patients who had explantation of their reconstructions. In cohort 2, 0 of 8 (0 %) had complications (p value = 0.15). Nearly a third of patients undergoing NAC with AC/T with or without bev developed a postoperative complication after mastectomy. The use of bev was not associated with a significant increase in surgical complications, although this is a nonrandomized data set with a small sample size. As larger data sets become available with the use of neoadjuvant bevacizumab with mastectomy, further refinement may be necessary.
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Russo AL, Arvold ND, Niemierko A, Wong N, Wong JS, Bellon JR, Punglia RS, Golshan M, Troyan SL, Brock JE, Harris JR. Margin status and the risk of local recurrence in patients with early-stage breast cancer treated with breast-conserving therapy. Breast Cancer Res Treat 2013; 140:353-61. [PMID: 23836011 DOI: 10.1007/s10549-013-2627-6] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2013] [Accepted: 06/28/2013] [Indexed: 11/30/2022]
Abstract
We sought to assess whether a close surgical margin (>0 and <2 mm) after breast-conserving therapy (BCT) confers an increased risk of local recurrence (LR) compared with a widely negative margin (≥2 mm). We studied 906 women with early-stage invasive breast cancer treated with BCT between January 1998 and October 2006; 91 % received adjuvant systemic therapy. Margins were coded as: (1) widely negative (n = 729), (2) close (n = 85), or (3) close (n = 84)/positive (n = 8) but having no additional tissue to remove according to the surgeon. Cumulative incidence of LR and distant failure (DF) were calculated using the Kaplan-Meier method. Gray's competing-risk regression assessed the effect of margin status on LR and Cox proportional hazards regression assessed the effect on DF, controlling for biologic subtype, age, and number of positive lymph nodes (LNs). Three hundred seventy-seven patients (41.6 %) underwent surgical re-excision, of which 63.5 % had no residual disease. With a median follow-up of 87.5 months, the 5-year cumulative incidence of LR was 2.5 %. The 5-year cumulative incidence of LR by margin status was 2.3 % (95 % CI 1.4-3.8 %) for widely negative, 0 % for close, and 6.4 % (95 % CI 2.7-14.6 %) for no additional tissue, p = 0.3. On multivariate analysis, margin status was not associated with LR; however, triple-negative subtype (AHR 3.7; 95 % CI 1.6-8.8; p = 0.003) and increasing number of positive LNs (AHR 1.6; 95 % CI 1.1-2.3; p = 0.025) were associated. In an era of routine adjuvant systemic therapy, close surgical margins and maximally resected close/positive margins were not associated with an increased risk of LR compared to widely negative margins. Additional studies are needed to confirm this finding.
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Affiliation(s)
- Andrea L Russo
- Harvard Radiation Oncology Program, Boston, MA 02215, USA
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Kluk MJ, Ashworth T, Wang H, Knoechel B, Mason EF, Morgan EA, Dorfman D, Pinkus G, Weigert O, Hornick JL, Chirieac LR, Hirsch M, Oh DJ, South AP, Leigh IM, Pourreyron C, Cassidy AJ, Deangelo DJ, Weinstock DM, Krop IE, Dillon D, Brock JE, Lazar AJF, Peto M, Cho RJ, Stoeck A, Haines BB, Sathayanrayanan S, Rodig S, Aster JC. Gauging NOTCH1 Activation in Cancer Using Immunohistochemistry. PLoS One 2013; 8:e67306. [PMID: 23825651 PMCID: PMC3688991 DOI: 10.1371/journal.pone.0067306] [Citation(s) in RCA: 91] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2013] [Accepted: 05/16/2013] [Indexed: 12/12/2022] Open
Abstract
Fixed, paraffin-embedded (FPE) tissues are a potentially rich resource for studying the role of NOTCH1 in cancer and other pathologies, but tests that reliably detect activated NOTCH1 (NICD1) in FPE samples have been lacking. Here, we bridge this gap by developing an immunohistochemical (IHC) stain that detects a neoepitope created by the proteolytic cleavage event that activates NOTCH1. Following validation using xenografted cancers and normal tissues with known patterns of NOTCH1 activation, we applied this test to tumors linked to dysregulated Notch signaling by mutational studies. As expected, frequent NICD1 staining was observed in T lymphoblastic leukemia/lymphoma, a tumor in which activating NOTCH1 mutations are common. However, when IHC was used to gauge NOTCH1 activation in other human cancers, several unexpected findings emerged. Among B cell tumors, NICD1 staining was much more frequent in chronic lymphocytic leukemia than would be predicted based on the frequency of NOTCH1 mutations, while mantle cell lymphoma and diffuse large B cell lymphoma showed no evidence of NOTCH1 activation. NICD1 was also detected in 38% of peripheral T cell lymphomas. Of interest, NICD1 staining in chronic lymphocytic leukemia cells and in angioimmunoblastic lymphoma was consistently more pronounced in lymph nodes than in surrounding soft tissues, implicating factors in the nodal microenvironment in NOTCH1 activation in these diseases. Among carcinomas, diffuse strong NICD1 staining was observed in 3.8% of cases of triple negative breast cancer (3 of 78 tumors), but was absent from 151 non-small cell lung carcinomas and 147 ovarian carcinomas. Frequent staining of normal endothelium was also observed; in line with this observation, strong NICD1 staining was also seen in 77% of angiosarcomas. These findings complement insights from genomic sequencing studies and suggest that IHC staining is a valuable experimental tool that may be useful in selection of patients for clinical trials.
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Affiliation(s)
- Michael J Kluk
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
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Kansal KJ, Dominici LS, Tolaney SM, Isakoff SJ, Krop IE, Smith BL, Jiang W, Potler H, Brock JE, Winer EP, Golshan M. Neoadjuvant bevacizumab: Surgical complications of mastectomy with and without reconstruction. J Clin Oncol 2013. [DOI: 10.1200/jco.2013.31.15_suppl.1100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
1100 Background: Neoadjuvant therapy is commonly used in operable breast cancer. We prospectively evaluated the surgical complications in a cohort of patients who underwent mastectomy following neoadjuvant doxorubucin hydrochloride/cyclophosphamide/paclitaxel (AC/T) plus bevacizumab and compared the rate of complications to a matched cohort of neoadjuvant AC/T without bevacizumab. Methods: One hundred patients with HER2-negative breast cancer enrolled in a single-arm trial of neoadjuvant AC/T plus bevacizumab (cohort 1), 60 of these patients underwent mastectomy and were matched with 59 patients who received standard neoadjuvant AC/T (cohort 2) over a similar time period in the same healthcare system. All patients underwent mastectomy with or without reconstruction. Fisher’s exact tests were used to compare complication rates, with a p<0.05 was considered significant. Results: Patients were matched well in terms of demographics. The overall complication rate was 33% in cohort 1 and 31% in cohort 2 (P-value=0.84; Table). In cohort 1, 7 of 23 (30%) patients who underwent immediate expander/implant reconstruction had complications, including 2 patients who had explantation of their reconstructions. In cohort 2, 0 of 8 (0%) had complications (p value=0.15). Conclusions: Nearly a third of patients undergoing neoadjuvant therapy with AC/T with or without bevacizumab developed a postoperative complication after mastectomy. The use of bevacizumab was not associated with a significant increase in surgical complications, although this is a non-randomized data with a small sample size. As larger data sets become available with the use of neoadjuvant bevacizumab with mastectomy, further refinement may be necessary. [Table: see text]
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Affiliation(s)
| | | | | | - Steven J. Isakoff
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA
| | | | | | - Wei Jiang
- Brigham and Women's Hospital, Boston, MA
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Lin NU, Gelman RS, Brock JE, Bardia A, Mayer EL, Overmoyer B, Wang V, Iannone M, Krop IE, Polyak K, Winer EP. Phase II study of ruxolitinib in patients with pStat3+ breast cancer. J Clin Oncol 2013. [DOI: 10.1200/jco.2013.31.15_suppl.tps1134] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
TPS1134 Background: Multiple lines of evidence implicate the IL-6/JAK2/Stat3 signaling pathway in metastatic progression and therapeutic resistance in breast cancer (Marotta et al, JCI2011; Britschgi et al, Cancer Cell 2012). Ruxolitinib, an oral inhibitor of JAK1 and JAK2, is approved for the treatment of intermediate or high-risk myelofibrosis, but has not been extensively tested in solid tumors. Methods: Pts with triple-negative breast cancer or inflammatory breast cancer of any subtype are eligible for prescreening of archival tumor tissue for pStat3 expression by immunohistochemistry. Pts with high (Cohort A; T-score >5) or low (Cohort B; T-score 3-4) pStat3 expression, measurable disease, adequate organ function, ECOG PS 0-2, and progression through > 1 line of prior therapy may proceed to receive ruxolitinib, 25 mg orally twice daily. Staging studies are performed at baseline (BL) and every 8 weeks (wk). Baseline tumor biopsy is required for pts who have accessible disease, with an optional biopsy at progression. Blood for IL-6, CRP, and circulating tumor cells are collected at BL, Wk 4, and off-treatment. Patient reported outcomes including EORTC QLQ C-30 and the M.D. Anderson Symptom Inventory are collected at BL, Wk 4, Wk 8, and off-treatment. Statistical Considerations: The primary endpoint of this open-label phase 2 trial is objective response by RECIST 1.1. The study is designed to distinguish between a response rate of 5% versus 20% in each cohort, separately. If > 2 responses out of 21 pts are observed in the first stage of Cohort A, a further 20 pts will be entered on that cohort; the agent will be deemed worthy of further study if > 5 of the total 41 pts achieve an objective response (power 0.90, type I error 0.046). Cohort B will open to accrual if Cohort A passes the first stage. If > 2 responses out of 21 pts are observed in the first stage of Cohort B, a further 20 patients will be entered into Cohort B, and the agent will be deemed worthy of further study if > 5 of the total 41 pts achieve an objective response (power 0.90, type I error 0.046). Study Status: A total of 85 patients have consented for prescreening of tumor tissue. As of January 3, 2013, 5 of a planned 41 patients with high pStat3 IHC scores have been treated with ruxolitinib, and accrual is ongoing. Clinical trial information: NCT01562873.
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Affiliation(s)
| | | | | | - Aditya Bardia
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA
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Margalit DN, Sreedhara M, Chen YH, Catalano PJ, Nguyen PL, Golshan M, Overmoyer BA, Harris JR, Brock JE. Microinvasive Breast Cancer: ER, PR, and HER-2/neu Status and Clinical Outcomes after Breast-Conserving Therapy or Mastectomy. Ann Surg Oncol 2012; 20:811-8. [DOI: 10.1245/s10434-012-2640-8] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2012] [Indexed: 11/18/2022]
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Halasz LM, Sreedhara M, Chen YH, Bellon JR, Punglia RS, Wong JS, Harris JR, Brock JE. Improved Outcomes of Breast-Conserving Therapy for Patients With Ductal Carcinoma in Situ. Int J Radiat Oncol Biol Phys 2012; 82:e581-6. [DOI: 10.1016/j.ijrobp.2011.08.015] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2011] [Revised: 06/06/2011] [Accepted: 08/04/2011] [Indexed: 10/14/2022]
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Manion E, Hornick JL, Lester SC, Brock JE. A comparison of equivocal immunohistochemical results with anti-HER2/neu antibodies A0485 and SP3 with corresponding FISH results in routine clinical practice. Am J Clin Pathol 2011; 135:845-51. [PMID: 21571957 DOI: 10.1309/ajcpip5loo3ngdjg] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
HER2/neu status in breast cancer is determined by immunohistochemical analysis and/or fluorescence in situ hybridization (FISH). Previous studies have found widely varying sensitivities and specificities for anti-HER2/neu antibodies, including recently developed rabbit monoclonal antibodies. The current prospective study compared rabbit monoclonal antibody SP3 and rabbit polyclonal antibody A0485 immunostaining on routinely processed consecutive cases of breast carcinoma. Of 1,610 cases tested, 261 (16.2%) equivocal (2+) cases were evaluated by FISH. Of 253 cases equivocal with A0485 results, 125 (49.4%) were negative with SP3. In 22 (8.7%) of 253 cases equivocal with A0485, there was amplification by FISH, and 3 of these cases were SP3- (0/1+). Of the 20 (14.8%) of 135 SP3-equivocal cases amplified by FISH, 1 case was A0485-. The reported false-negative rate with A0485 is 2.8%, and the American Society of Clinical Oncology/College of American Pathologists guidelines recommend a rate of less than 5%. Compared with A0485, the false-negative rate with SP3 is only 0.3% (3/1,156) higher, but it shows about a 50% reduction in equivocal scores, reducing the need for reflex FISH testing.
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